Questions score
- Min
- 7
- Median
- 7.0
- Max
- 7
- Q1
- 7.0
- Avg
- 7.0
- Q3
- 7.0
AI Dev Tools Zoomcamp 2025
Homework 2: End-To-End Project Statistics
Distribution of scores and reported study time for this homework.
Submissions
234
Median total score
7
Average total score
8
Score distribution
All values are points.
Learning in public score
- Min
- -
- Median
- 0.0
- Max
- 7
- Q1
- 0.0
- Avg
- 0.6
- Q3
- 0.8
Total score
- Min
- 7
- Median
- 7.0
- Max
- 15
- Q1
- 7.0
- Avg
- 7.7
- Q3
- 8.0
Time distribution
All values are hours reported by students.
Lectures
- Min
- 0.0
- Median
- 4.0
- Max
- 48.0
- Q1
- 2.0
- Avg
- 4.5
- Q3
- 5.0
Homework
- Min
- 0.5
- Median
- 5.0
- Max
- 36.0
- Q1
- 3.0
- Avg
- 6.4
- Q3
- 8.0
Question breakdown
Correctness and answer distribution per question.
1. Initial prompt
234 / 234 correct (100.0%)
| Answer | Count |
|---|---|
| create the snake game with two models: pass-through and walls. prepare to make it multiplayers - we will have this functionality: leaderboard and watching (me following other players that currently play). add mockups for that and also for log in. everything should be interactive - I can log in, sign up, see my username when I'm logged in, see leaderboard, see other people play (in this case just implement some playing logic yourself as if somebody is playing) make sure that all the logic is covered with tests don't implement backend, so everything is mocked. But centralize all the calls to the backend in one place | 3 |
| We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser You can choose any technologies you want. For example: Frontend: React + Vite Backend: Express.js We recommend using JavaScript for frontend, because with other technologies, some of the homework requirements may be difficult to implement. But you can experiment with alternatives, such as Streamlit. | 1 |
| I want you to generate the initial implementation of a full-stack web application for an online coding interview platform. Please produce both the frontend and backend code, including file structure, code snippets, and setup instructions. The application must support the following features: 1. Create a unique session link that I can share with a candidate. 2. When multiple users open the same link, they should all see and edit the same code in real time. 3. Real-time updates must be synchronized across all connected users. 4. The code editor must support syntax highlighting for at least JavaScript and Python. 5. The application must execute code safely in the browser (not on the server). - JavaScript should run in a sandboxed iframe or Web Worker. - Python should run using WebAssembly (e.g., Pyodide). 6. Use these technologies: - Frontend: React + Vite - Backend: Node.js + Express - Real-time communication: Socket.IO - Code editor: Monaco Editor or CodeMirror 7. The backend should store sessions in memory (no database needed). 8. Provide instructions for running the frontend and backend. Please generate: - The full folder structure - All key source files (frontend + backend) - Example code for each file - Instructions for installing dependencies and running the app | 1 |
| Implement a complete, runnable full-stack 'coding interview' web app (frontend + backend) and return all source files and run instructions in a single response. Backend: FastAPI (+ WebSocket / rooms, health, create_room, serve built frontend). Frontend: React + Vite + @monaco-editor/react (room create/join, WebSocket edits). Code execution: JS via sandboxed iframe, Python via Pyodide. Add tests, Docker (multi-stage bundling frontend + backend), and a README with setup/run/test commands. | 1 |
| You are an expert full-stack JavaScript developer. I am building an end-to-end real-time collaborative coding interview platform. Please implement both frontend and backend. Requirements: - Frontend: React with Vite - Backend: Node.js with Express - Real-time collaboration using WebSockets (Socket.IO) - Ability to create and share a coding session link - All connected users can edit code simultaneously - Real-time code updates for all users - Syntax highlighting for JavaScript and Python - Execute JavaScript safely in the browser - Execute Python in the browser using WASM - Provide clear project structure and instructions | 1 |
| -create a platform for online coding interviews. - we will have this functionality: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser - make sure that all the logic is covered with tests. - don't implement backend, so everything is mocked. But centralize all the calls to the backend in one place. - You can choose any technologies you want. For example: for frontend: React + Vite | 1 |
| Role: You are a full-stack software engineer and dev-ops specialist. Your job is to implement a complete end-to-end coding-interview platform (frontend + backend) that can be run locally and containerized. Produce code, tests, Dockerfile, and README. Instructions: 1. Implement a React + Vite frontend and an Express.js backend (Node.js). Organize the repo with `client/` (frontend) and `server/` (backend) directories. 2. Implement real-time multi-user collaborative editing so everyone who connects to the same session sees live updates and can edit the shared code panel. Use WebSockets (Socket.IO). 3. Provide an API endpoint to create a new interview session and return a shareable URL (e.g., `/session/:id`). 4. Use a browser-based code editor component supporting syntax highlighting for JavaScript and Python. Editor must allow collaborative edits (propagate changes via sockets). 5. Add ability to execute code safely in the browser using WebAssembly — do not execute arbitrary user code on the server. For Python execution use a WASM-based Python runtime (e.g., Pyodide). For JS execution, run in a sandboxed iframe (or use realm-like sandboxing). 6. Provide minimal authentication-free UX: a landing page with “Create session” button, and session page with code editor, language selector, run button, and a read-only console output panel. 7. Add simple server-side session management: when a session is created, persist session state in memory (in server process) and allow joining by session id. Keep design simple and comment where a production-ready replacement (DB, auth) would go. 8. Write integration tests that simulate connecting a client to the socket server, making edits, receiving updates, and executing code in the browser environment (use Jest + Playwright or Jest + Supertest + Playwright). Also include unit tests for session creation and API. 9. Create a `README.md` with setup, run, test, and build instructions. 10. Provide a `Dockerfile` to build a single container hosting both client and server (production optimized), and provide a `docker-compose.yml` if helpful. 11. Create package.json scripts at repo root that can run client and server concurrently in development: `npm run dev`. 12. Keep code well commented and include brief documentation / TODOs for production improvements (persistent store, authentication, rate-limiting, resource caps for execution, traffic scaling). 13. Provide an `AGENTS.md` file instructing future AI agents how to run common git tasks (branching, commit, rebase, release). Steps (deliverables): 1. `client/` React + Vite app with Monaco (or CodeMirror) editor integrated, language selector (javascript/python), run button that uses Pyodide for Python or sandboxed iframe for JS. 2. `server/` Express app with Socket.IO for real-time sync, REST endpoint `POST /api/session` to create session and `GET /api/session/:id` to fetch metadata. 3. Integration tests in `/tests` using Playwright (for end-to-end browser interaction) and Jest for server tests. 4. `README.md`, `Dockerfile`, `docker-compose.yml`, and `AGENTS.md`. 5. Root package.json with `dev` script using `concurrently` to run both client and server dev servers. End goal: A runnable project that you can: - `npm install` at repo root (or install in client/server as described), - `npm run dev` to start local development (both client and server), - run integration tests with `npm test`, - build Docker image and run the app in one container. Narrowing details / constraints: - Use Node.js 18+ compatibility. - Keep the server minimal — memory session store is OK for the assignment, but comment where database would be used. - Use Socket.IO (server & client) for real-time editing events and presence notifications. - For syntax highlighting choose Monaco Editor (or CodeMirror 6) and configure JS + Python support. - For in-browser Python execution use Pyodide (Pyodide v0.23+ recommended). - For JS execution use a sandboxed iframe approach with message channels to avoid running code in the main window context. - For tests prefer Playwright for E2E because it can run a headless browser and assert collaborative updates. - Include helpful npm scripts: `client:dev`, `server:dev`, `dev`, `test`, `build`, `docker:build`, `docker:run`. Please produce code in repository layout, include `package.json` entries, server and client source files, test files, and the requested documentation. Limit external infrastructure dependencies — prefer libraries on npm and public CDNs for Pyodide if necessary. If any security trade-offs are made for simplicity, clearly annotate them in comments and in README. | 1 |
| Implement a platform for online coding interviews. The app should be able to do the following: * Create a link and share it with candidates * Allow everyone who connects to edit code in the code panel * Show real-time updates to all connected users * Support syntax highlighting for multiple languages * Execute code safely in the browser You can choose any technologies you want. For example: Frontend: React + Vite Backend: Express.js | 1 |
| We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser You can choose any technologies you want. For example: Frontend: React + Vite Backend: Express.js | 1 |
| Implement a platform for online coding interviews. The app should be able to do the following: - Create a link and share it with candidates - Allow everyone who connects to edit code in the code panel - Show real-time updates to all connected users - Support syntax highlighting for multiple languages - Execute code safely in the browser - create both the backend and frontend - Frontend technologies should be: Svelte and SvelteKit and Vite and Typescript and - Backend technologies should be: Hono and Typescript | 1 |
| Design and build a real-time collaborative online coding interview platform. Implement both frontend and backend. For now, use a mock database, which we will later replace with a real one. Create frontend tests and backend tests. Make sure all the logic is covered with tests. The app should be able to do the following: - Create a link and share it with candidates - Allow everyone who connects to edit code in the code panel - Show real-time updates to all connected users with WebSockets - Support syntax highlighting for multiple programming languages - Execute code safely in the browser with WASM Choose the following technologies: - Frontend: React + Vite, TypeScript, Framer Motion, Shadcn UI, Vitest - Backend: FastAPI, pytest Follow the guidelines in AGENTS.md | 1 |
| Create Lumberjack game where players chop trees. The context is in the short movie file mp4 (there is a the movie.mp4 for context). Prepare to make it multiplayers - we will have this functionality: everything should be interactive Including leaderboards, and mockups for login, gameplay. Ensure all logic is interactive (login, signup, username display, leaderboard) and covered with tests. Mock all backend calls but centralize them in one place. | 1 |
| In lovable I want to implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser Then in antigraviti, I used (in the front end want to create a login page and when the user change the programming language it reflects on the code) ( It is chat-based applications , analyses the content of the client and create an OpenAPI specs based on what it needs. later we want to implement backend based on these specs ) (what do u think if we used Express.js for the backend or python better or do u suggest another lang tell me ur suggestion and let's work on the backend ) (based on the OpenAPI specs, create backend for now use a mock database, which we will later replace with a real one create tests to make sure the implementation works ) | 1 |
| You are an autonomous coding agent working in this repo. Goal: implement the homework described below (end-to-end real-time collaborative coding interview app). Before writing code, inspect the current folder/repo and propose a development plan with milestones. I prefer the simplest maintainable solution with low tech debt, but it must be genuinely usable. HOMEWORK REQUIREMENTS (must support): Create a shareable link for a coding session Multiple users edit the same code panel collaboratively Real-time updates for all connected users Syntax highlighting for multiple languages (at least JavaScript + Python) Execute code safely in the browser (NOT on the server), via WASM Add integration tests for client<->server Add README with run/test commands Add npm dev to run client+server concurrently Containerize: one Dockerfile for frontend+backend in one container Deploy somewhere (pick a sensible service and document it) FIRST: REPO CONTEXT QUESTIONS (answer after inspecting): What’s the current folder layout? Is there already a package.json at repo root, or do we need a root workspace? Are there any existing frontend/backend folders or code we must integrate with? Preferred package manager present (npm / pnpm / yarn)? If none, use npm. Any constraints from existing configs (TypeScript vs JS, linting, node version)? PROPOSED “SIMPLE BUT SOLID” STACK (use unless repo constraints force otherwise): Frontend: React + Vite Collaborative editor: Monaco Editor + Yjs (y-websocket) for real-time CRDT sync Backend: Node + Express + WebSocket server for Yjs (y-websocket server integrated or a small ws server) Session model: /s/:roomId route (roomId in URL is the shareable link) Syntax highlighting: provided by Monaco (ensure JS + Python modes enabled) In-browser execution: Python: Pyodide (Python to WASM) for safe client-side execution JavaScript: run in a sandboxed iframe (sandbox attributes) and capture console output via postMessage Tests: Playwright integration tests (spin up backend+frontend, open 2 pages, verify real-time sync + run output) Dev: concurrently to run client+server with one command Container: one Dockerfile (multi-stage build ok), serve static frontend + run backend README: clear steps to run dev, tests, build, docker, deploy Add AGENTS.md with git workflow + “commit at every step” instructions IMPORTANT DESIGN RULES: Minimal but clean: small modules, clear boundaries, avoid overengineering. No server-side code execution. Execution is strictly in-browser. Security: sandbox iframe for JS exec; limit Pyodide capabilities to the page context; show outputs safely. Realtime: ensure 2 browsers see edits instantly. Keep configuration and scripts straightforward. Use TypeScript if it’s already the repo norm; otherwise plain JS is fine. NOW DO THIS IN ORDER: A) Plan (no coding yet): Provide a step-by-step development plan (milestones + files/folders to create). Call out risks/unknowns and how you’ll validate each milestone quickly. I will review your plan: if you think my proposed stack is wrong, argue for a simpler alternative. B) Implementation (after plan is presented, proceed automatically): Create folder structure: client/ (Vite React) server/ (Express + WebSocket/Yjs) root package.json with workspaces OR simple scripts to run both Implement sessions: Landing page: “Create session” -> navigates to /s/:roomId /s/:roomId shows Monaco editor + language selector (JS/Python) + Run button + Output panel Real-time collaboration: Wire Yjs provider to roomId Verify multi-tab sync Syntax highlighting: Ensure Monaco loads JS + Python modes Code execution: Python via Pyodide (load once, run code, capture stdout/stderr) JS via sandbox iframe (postMessage result/output back) Integration tests: Playwright: open two pages to same room, type in one, expect other to update Run code and assert output appears Provide exact command to run tests npm dev: Use concurrently to run server + client Provide the exact package.json scripts README.md: dev, test, build, docker run, deployment notes Dockerfile: one container for both document base image used Deployment: Pick a service (Render/Fly.io/Railway/Vercel+separate backend). Prefer simplest single-container deploy. Add minimal deploy instructions to README. DELIVERABLES: Working app with the requirements above Integration tests passing Clean README + AGENTS.md Dockerfile builds/runs Start with step A: inspect repo and propose the plan. Then proceed with step B. | 1 |
| Build a full-stack web application for online coding interviews. Requirements: Frontend: React + Vite Backend: Node.js + Express Real-time collaboration using WebSockets (Socket.IO) Create a shareable interview session link All connected users can edit the same code simultaneously Real-time updates across clients Code editor with syntax highlighting (JavaScript & Python) In-browser code execution only (no server execution) Clean project structure with client/ and server/ folders Please generate: Frontend code (React components, editor, WebSocket client) Backend code (Express server, Socket.IO logic, session handling) Basic instructions to run the project locally | 1 |
| Create an online platform for online coding interviews the app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser create a folder inside hw2 named "coding-interview-app" inside it create the backend and frontend folders and put the code there implement Frontend with React + Vite implement Backend bases on the OpenAPI specs, for now use a mock database | 1 |
| You are an expert full‑stack JavaScript mentor. I want to build a simple online coding interview platform as an end‑to‑end app. Requirements: Frontend: React + Vite (TypeScript ok), talking to a Node.js + Express backend over REST and Socket.IO. The app should let an interviewer create a room and get a shareable URL. Multiple users opening the same room URL see a collaborative code editor with real‑time updates using WebSockets. Everyone in the room can type in the same editor and see live changes. The editor must support syntax highlighting for at least JavaScript and Python. There should be a language selector (JS/Python) and a “Run” button. Code must be executed only in the browser: For JavaScript: run it in a safe-ish sandbox in the browser (no server execution). For Python: use a Python‑to‑WASM solution such as Pyodide (or similar) in the browser, not on the server. The server should only manage rooms and broadcast code changes; it must never execute user code. Use Socket.IO for real‑time sync between all clients in the same room. Implement a minimal API in Express for creating/joining rooms. Generate reasonably structured code with separate folders: /client – Vite React app /server – Express + Socket.IO backend Also generate a minimal README with instructions to install dependencies, run client and server in dev mode, and run tests. Use npm scripts for both client and server. Please: Scaffold the project structure. Provide all main source files (server entry, React entry, main pages/components, Socket.IO integration, code editor component, basic styles). Use Monaco Editor or CodeMirror for the code editor with syntax highlighting for JS and Python. Add a simple integration test that spins up the backend and verifies that a client can connect and exchange at least one message. Add package.json scripts for: dev (frontend), dev:server (backend), test and later we’ll add dev:all with concurrently. Write all code inline so I can copy‑paste it into files. | 1 |
| implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser Use these technologies: Frontend: React + Vite Backend: Express.js Use JavaScript for frontend, because with other technologies, some of the homework requirements may be difficult to implement. implement both frontend and backend - in one prompt. Frontend OpenAPI specs Backend Dont overengineer and write comments keep it simple, but effective, keep it editable | 1 |
| Lets complete this homework https://github.com/DataTalksClub/ai-dev-tools-zoomcamp/blob/main/cohorts/2025/02-end-to-end/homework.md Create directory for it, plan and complete tasks, create md file with answers | 1 |
| create a react + vite app - app should be a quiz game containing programming question - sth like card discovery, user should be able to draw a card and then answer question, good question is one point, bad -1 point, 10 points is total, there should be rank for users, user should be able to register and login (lovable prompt to create frontend at the beginning) | 1 |
| Build a collaborative coding interview app with React + Vite (CodeMirror editor with JS/Python syntax highlighting), Express/Node backend with WebSocket sessions, link-based rooms, real-time edits broadcast to all clients, run sandboxed JS in browser and Python via Pyodide, include OpenAPI spec and basic auth; scaffold frontend, backend, and shared types with npm scripts. | 1 |
| I need to implement a Full Stack Web App, named CodeView. This should be an app to perform online code interviews. I wanted to implement frontend with React + Vite (I barely know this technology) and backend with FastAPI (python). This are app's main requirements (functional): Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser | 1 |
| You are an expert full-stack engineer and AI pair programmer. I’m doing Homework Week 2 of the AI Dev Tools Zoomcamp. I need you to IMPLEMENT, not just describe, a small full-stack app for online coding interviews. ## Goal Build a minimal but working **real-time collaborative coding interview platform** with: - Frontend: React + Vite (JavaScript) - Backend: Django (Python) The app must support: 1. Create a link and share it with candidates 2. Everyone who opens the link can edit code in a shared code panel 3. Real-time updates to all connected users (collaborative editor) 4. Syntax highlighting for multiple languages (at least JavaScript and Python) 5. Code execution **safely in the browser** using WASM (Python via WASM, JavaScript via a sandboxed approach) This is for learning purposes, so in-memory storage is OK (no need for a real database unless you think it’s trivial to add SQLite). --- ## Project structure Create a single repo with the following structure: - `02-coding-interview/` - `backend/` → Django project - `frontend/` → React + Vite app (JavaScript) I will run this locally on my machine. --- ## Backend (Django) Inside `backend/`: 1. Create a Django project and app, for example: - Project: `coding_interview_backend` - App: `sessions` 2. Use **Django + WebSockets** (preferably Django Channels) to support real-time collaboration: - A “session” is a coding room identified by a session ID (string/UUID). - Provide a simple REST endpoint to **create a new session**: - `POST /api/sessions/` → returns `{ id: "<session_id>", url: "http://localhost:5173/session/<session_id>" }` - Implement WebSocket endpoint, e.g. `ws://localhost:8000/ws/session/<session_id>/`: - Each client connects with that session ID. - When a client sends code updates, broadcast them to all other connected clients. - For simplicity, you can send the **entire code content** on each change (no need for OT/CRDT). - Also include language information so everyone stays in sync. 3. Keep session/code state **in memory** (e.g. a Python dict) for now. 4. Configure CORS and ASGI properly so that: - Frontend at `http://localhost:5173` can call the Django REST API and WebSocket. 5. Provide **complete code** for: - `settings.py` (only the relevant parts, including Channels / ASGI config if used) - `asgi.py` - `routing.py` (for Channels, if used) - The `consumers.py` (or equivalent) implementing the WebSocket logic - `urls.py` and views/serializers for the session creation API No pseudo-code, no “…” placeholders. I need copy-pastable, working files. --- ## Frontend (React + Vite, JavaScript) Inside `frontend/`: 1. Set up a Vite React app (JavaScript). 2. Implement pages/components: - `App.jsx`: - A simple router with at least: - Home page: a button **“Create new interview session”**. - Session page: `/session/:sessionId`. - Home page behavior: - When clicking “Create new interview session”: - Call backend `POST /api/sessions/`. - Redirect the user to `/session/<sessionId>` returned by the backend. - Session page behavior: - Connect to the WebSocket `ws://localhost:8000/ws/session/<session_id>/`. - Show: - A **shareable link** (the current URL) so the interviewer can copy it. - A **language selector**: at least `JavaScript` and `Python`. - A **code editor** with syntax highlighting. - A **Run code** button. - An **output panel** to show stdout or errors. 3. **Real-time collaboration**: - When the local user edits the code or changes the language: - Send an update message via WebSocket (e.g. `{ type: "update", language, code }`). - When a message is received from the WebSocket: - Update the local editor and language selector so all users see the same content. 4. **Syntax highlighting**: - Use a proper code editor library, such as **Monaco Editor** (`monaco-editor`). - Configure Monaco to support at least JavaScript and Python syntax highlighting. 5. **Code execution in the browser**: - JavaScript: - Execute JS code in a **safe-ish sandbox**, for example by: - Creating a hidden `<iframe>` and running code there, or - Using `new Function` with clear comments about the limitations. - Capture console.log / stdout and show it in the output panel. - Python: - Use **Pyodide** (Python compiled to WASM) loaded in the browser. - On first “Run” for Python, load Pyodide. - Then execute the Python code with Pyodide and show stdout / errors in the output panel. - Make sure that **code execution happens only in the browser**, not on the Django server. 6. Styling: - Keep it simple but usable (flex layout, two columns: editor & output). 7. Show all key files with full content: - `index.html` - `main.jsx` - `App.jsx` - Any `Editor`/`SessionPage` components - Code to initialize Monaco Editor and Pyodide. --- ## Dev experience At the end of your answer, please also: 1. List the exact commands to run **backend** and **frontend** in development mode separately, for example: - Backend: - `cd backend` - (create virtualenv, install dependencies) - `python manage.py migrate` - `python manage.py runserver 0.0.0.0:8000` - Frontend: - `cd frontend` - `npm install` - `npm run dev` 2. Include all necessary dependency installation commands for: - Django + Channels (or WebSocket stack you chose) - CORS settings - React + Vite - Monaco Editor - Pyodide (and how you load it in the frontend) Important: - Provide concrete code, not high-level descriptions. - Assume a clean environment (someone clones the repo and follows your instructions). - The priority is that the app actually runs end-to-end and demonstrates real-time collaborative editing and browser-only code execution. | 1 |
| I choose Streamlit because it one of few options available in Databricks platform to build apps. I work a lot with Databricks, so learning a bit about Streamlit is useful for my everyday job. Here is my initial prompt: I want to build an end-to-end application. The app should be able to do the following: - Create a link and share it with candidates - Allow everyone who connects to edit code in the code panel - Show real-time updates to all connected users - Support syntax highlighting for multiple languages - Execute code safely in the browser I'd like to use Streamlit framework to create the app. Start with instructions how to setup envrionment for the project using uv. Next, generate Python code for following three building blocks of the app: 1. Frontend 2. OpenAPI specs 3. Backend Cover generated code with unit tests. | 1 |
| You are a full stack senior developer. Goal: - implement a platform for online coding interviews. Requirements: the app should be able to do the following - Create a link and share it with candidates - Allow everyone who connects to edit code in the code panel - Show real-time updates to all connected users - Support syntax highlighting for multiple languages - Execute code safely in the browser Tech Stack: - frontend : React + Vite - backend : Django Vibe coding pattern: Lego Pattern - Build complex systems from simple, testable blocks - you generate the code of the platform based on my prompts (specifications) by iteration, milestone by milestone, each step have to be validate by me. Milestone_1: initial setup - I create a folder for the project: 02_code_itws - I create a virtualenv for the project and activate it: .venv - give me the command to install all necessary librairies for the project (frontend and backend) Milestone_2: implementing frontend of the platform for online coding interviews Milestone_3: implementing backend of the platform for online coding interviews | 1 |
| I need to create an online coding interview platform with the following features: 1. Backend using Express.js that: - Allows creating interview sessions with unique IDs - Uses Socket.io for real-time communication - Handles multiple users editing code simultaneously - Stores code state and language per session 2. Frontend using React + Vite that: - Allows creating and joining sessions - Has a real-time collaborative code editor - Displays real-time updates to all connected users - Supports syntax highlighting for JavaScript and Python - Allows secure code execution in the browser Implement both the frontend and backend in a single response, including all necessary files. | 1 |
| Create a full stack application with a React frontend and Express backend. The app is a collaborative code editor. Features: unique URL generation for sessions, real-time code collaboration using sockets, syntax highlighting for JS and Python using Monaco Editor, and client-side Python execution using Pyodide. Provide the project structure and code. | 1 |
| I would like to create a code collaboration platform UI has a code editor and Execute button Output window where code result can be seen post execution or show error stack Current users window Use cases Multiple users can collaborate. Every user gets prompted to enter their name. User 1 can start a coding session and share the unique link with other users/candidates Other users can join and see the code written by User 1. Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users If User 1 leaves, other users can continue to work. Platform will support C, C++, Python, Java, Go. Support syntax highlighting for multiple languages Execute code safely in the browser Tests Write Unit tests Write Integration tests Keep a Readme file that has all the details about the project. You can choose Javascript and other JS frameworks for front end and Node for backend | 1 |
| Prompt for AI: "Please implement a web-based platform for online coding interviews. The platform should meet the following requirements: Frontend: Technology Stack: React (with Vite for fast development) Features: Code Panel: Allow users (candidates and interviewers) to write and edit code in a shared code panel. Real-time Updates: Use WebSockets or a similar technology to show real-time updates to all connected users. Syntax Highlighting: Support syntax highlighting for multiple programming languages (e.g., JavaScript, Python, Java, etc.). Code Execution: Enable safe code execution within the browser (using technologies like Web Workers or similar sandboxing techniques). User Interface: Clean and intuitive UI, with basic features like: Displaying the shared code panel. A button to generate and share a link for the interview session. A separate view or console to see output from executed code. Backend: Technology Stack: Express.js (Node.js) Features: Session Management: Implement functionality to create a unique interview session and generate a shareable link for candidates. Real-time Collaboration: Use WebSockets or similar real-time communication libraries to synchronize code changes across all connected users in real-time. Execution Endpoint: Implement an API endpoint for executing code remotely in a safe environment (e.g., using server-side sandboxes or web-based execution environments). Ensure security by sandboxing code execution. Database: Use an in-memory database (e.g., Redis) to store session data and users currently connected to a session. Authentication: Use a simple token-based or session-based authentication system for user verification. Bonus Features (optional): Syntax Highlighting on Backend: If possible, provide syntax highlighting from the backend (for example, using a library like highlight.js). Persistent Sessions: Allow users to resume their coding sessions if disconnected. Please provide a complete implementation with both frontend and backend code in JavaScript (Node.js for backend and React for frontend). Include instructions on how to run the app locally, and use WebSockets for real-time collaboration and code synchronization." | 1 |
| **Prompt:** I want to build a platform for conducting online coding interviews. The system should include both a frontend and backend, along with complete OpenAPI specifications. **Requirements:** **General Features** * Generate a unique interview link that can be shared with candidates. * Allow all connected participants to collaboratively edit code within a shared code editor. * Provide real-time synchronization so that code changes are instantly visible to all users. * Support syntax highlighting for multiple programming languages. * Execute code safely within the browser (sandboxed execution). **Frontend** * Implement using React with Vite (or vanilla JavaScript if preferred). * Include a real-time collaborative code editor with syntax highlighting. * Connect to the backend using websockets or another suitable real-time protocol. **Backend** * Implement using Express.js. * Provide APIs (documented with OpenAPI) for session management, link generation, code execution, and collaboration. * Support real-time communication for synchronized editing. Please generate the full project structure, architecture, and code needed to implement this platform. Follow instruction in the "agents.md" file and also generate implementation plan. | 1 |
| You are building a collaborative online coding interview platform. Create both frontend and backend with the following requirements: - Frontend: React + Vite. Use Monaco editor with syntax highlighting for JavaScript and Python. Support room-based collaborative editing with Socket.IO client. Show real-time updates for all connected users (code content + language selection). Provide UI to create/share a session link, select language, edit code, and run code. Execute JavaScript in-browser in an isolated runner; execute Python in-browser via Pyodide (WASM) only—no server-side code execution. Display output/errors in a console panel. - Backend: Python FastAPI (ASGI) with python-socketio for realtime. Provide REST/OpenAPI for basic health and session creation if needed. Implement Socket.IO events: join room, code change, language change, optional run request echo. Use CORS for the frontend dev origin. Keep room state in memory for now. Include uvicorn entrypoint. - Testing: add integration tests to verify client/server interaction (socket events round-trip, REST endpoints) using pytest, httpx, and the socketio test client. Provide npm test scaffolding if minimal. - Dev workflow: add `concurrently`-based `npm run dev` to start Vite and the FastAPI server together. Document commands in README for setup, run, and tests (conda env + uv for Python deps; npm for frontend). - Containerization: create a single Dockerfile using multi-stage build (Node to build frontend, python:3.11-slim for backend/runtime). Serve built frontend via FastAPI static or similar. Add Render-friendly start command (uvicorn). - Deployment: target Render; include any render.yaml/Procfile guidance and environment variable notes. Deliver the code in `Assignment_2/client` and `Assignment_2/server` folders with clear scripts and instructions. | 1 |
| SYSTEM / PRIMARY TASK You are an expert senior full-stack engineer (15+ years experience), specialized in realtime collaboration apps, WebSockets, CRDT/OT, sandboxed code execution, and modern JavaScript frameworks. Generate production-ready code, with clean architecture, modular structure, proper separation of concerns, and detailed explanations when necessary. Your task: Implement a complete online coding-interview platform. REQUIREMENTS 1. Functionality Implement a platform for online coding interviews with the following capabilities: Core Features Create a sharable interview session (unique URL / room ID). Host shares the link with the candidate. Anyone who joins can edit the code collaboratively. All connected clients see updates in real time. Built-in code editor with syntax highlighting, supporting multiple languages. Code execution in the browser using a safe sandbox (e.g. WebContainers, Pyodide fallback, or isolated iframe). Track connected users and show presence (optional but nice to have). 2. Frontend Use JavaScript (no TypeScript unless needed), built with one of the following frameworks (choose the best one for minimal friction): React + Vite or Next.js App Router or Vanilla JS + CodeMirror 6 editor Frontend must include: Real-Time Collaborative Editor Implement using CodeMirror 6 or Monaco Editor. Support syntax highlighting for JavaScript, Python, C++, Java. Live updates synchronized via WebSocket / WebRTC. UI Requirements Clean, minimal, interview-style interface. Share-link button that generates room URL. Run Code button → displays output in console panel. 3. Backend Use Node.js with Express (or Fastify). Backend responsibilities: Realtime Sync Implement WebSocket server. Broadcast all code changes to connected room members. Room Management Create rooms. Manage user connections. Persist code state in memory. Safe Code Execution Implement sandboxed execution (pick the most secure option): Run JavaScript inside isolated VM2 sandbox or Use WebContainers for in-browser execution or Evaluate Python via Pyodide in browser (Claude should pick the safest cross-platform solution.) Backend must never execute arbitrary code on the server. 4. Deliverables Your response must include: (A) Directory structure (full project layout) (B) Complete backend code (C) Complete frontend code (D) Instructions for: Installing Running locally Deploying (Render / Vercel / Railway) Environment variables WebSocket handling (E) Explanations where needed: How collaborative sync works How the sandbox works How to extend languages Your output MUST be complete and runnable as-is. 5. Coding Style Production-grade Modular Clean, commented code Small, testable components Error handling everywhere No pseudocode — only real implementation BEGIN NOW Create the full project implementation exactly as specified. | 1 |
| Create a minimalistic, clean, and elegant frontend application for an online coding interview platform. General requirements: - Use JavaScript (no TypeScript). - No real backend — everything must be mocked on the frontend. - All mock backend logic must be implemented in ONE single module (e.g., mockBackend.js). - This module must be easy to replace later with a real backend without changing any other code. - UI must be simple, consistent, readable, and user-friendly — avoid complex layouts, shadows, heavy styles, or decorative elements. Core functionality: 1. Username login (no password) - User enters only a username. - Store the username locally (mock login). - Display the username in the room UI. 2. Create and join rooms - Home screen contains: • A button: “Create Room” • An input: “Enter room link” - Creating a room generates a unique room ID and navigates to /room/:roomId. - Show the room link clearly so it can be copied. - If room data cannot be loaded (mockBackend error), show a simple error message — no freezing or infinite loading. 3. Room page - Layout: • Left side: code editor. • Right side: participants list. - Show current username (“You”) and mocked participants. - The interface must remain visually light and balanced, with consistent spacing and typography. - **All users who join the same room must work on the same shared code document. Any change made by one user must be reflected in real time for all connected users.** 4. Real-time simulation - Use BroadcastChannel (or localStorage fallback) to sync code content between multiple tabs of the same room. - Add 1–2 mocked participants with simple simulated behaviors (e.g., typing indicator, active/idle state). 5. Code editor - Use a real syntax-highlighting editor (Monaco or CodeMirror). - Supported languages: • JavaScript • Python • C++ - Provide: • Language selector dropdown • “Reset code” button - Keep styling minimal and focused on usability. 6. Code execution - Include a “Run” button. - For JavaScript: • Execute code in a safe environment (Web Worker or sandboxed iframe). - For Python and C++: • Mock execution and return a simple, reasonable output string. 7. Mock backend (must be in ONE file) - Implement all backend-like behavior here: • createRoom() • getRoom(roomId) • joinRoom(roomId, username) • getParticipants(roomId) - Use Promises with small delays to simulate a real network. - The rest of the app must communicate *exclusively* through this module. - The structure must allow swapping this file for a real backend later with minimal effort. Visual style guidelines: - Minimalistic, modern, and clean. - Consistent spacing, simple typography, intuitive layout. - No unnecessary UI elements. - Prioritize clarity and ease of use. Goal: Build a simple, elegant, functional prototype of a collaborative coding interview platform with shared real-time code editing, minimal UI, and safe JavaScript execution — with a single mock backend designed to be replaced later by a real API. | 1 |
| Help me plan to implement a platform for online coding interviews. The app should be able to do the following: 1. Create a link and share it with candidates 2. Allow everyone who connects to edit code in the code panel 3. Show real-time updates to all connected users 4. Support syntax highlighting for multiple languages 5. Execute code safely in the browser Use the following technologies: Frontend: React + Vite Backend: Express.js I want to implement 3 steps in one go. 1. Frontend 2. OpenAPI sp | 1 |
| I need to create a platform for online coding interviews. The app should be able to do the following: • Create a link and share it with candidates • Allow everyone who connects to edit code in the code panel • Show real-time updates to all connected users • Support syntax highlighting for multiple languages • Execute code safely in the browser I was recommended to use JavaScript for frontend. Implement both frontend and backend. | 1 |
| We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser You can choose any technologies you want. For example: Frontend: React + Vite Backend: Express.js | 1 |
| We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser. Examples of languages are JavaScript and Python. Please modularize the code. Create README.md, makefile for common operations on code. Implement unit tests. The code should be lean. Frontend: React + Vite Backend: Express.js | 1 |
| --create the snake game with two models: pass-through and walls. 1. Prepare to make it multiplayers - we will have this functionality: leaderboard and watching (me following other players that currently play). add mockups for that and also for log in. 2. Everything should be interactive - I can log in, sign up, see my username when I'm logged in, see leaderboard, see other people play (in this case just implement some playing logic yourself as if somebody is playing) make sure that all the logic is covered with tests. 3. Each user must have a profile picture in the form of an anime character (of their choice). 4. Use Bootstrap for design, colors and fonts can be taken from this site: https://colorlib.com/. don't implement backend, so everything is mocked. But centralize all the calls to the backend in one place | 1 |
| Create a professional online coding interview platform with a clean, modern UI (think CoderPad, HackerRank style). The platform should support real-time collaborative coding sessions between interviewers and candidates. Core Features to implement: Authentication & User Management (mocked) Login page with email/password Sign up page with role selection (Interviewer / Candidate) User profile showing username, role, and interview history Logout functionality Show logged-in user's avatar/name in the header Dashboard (for Interviewers) "Create New Interview" button that generates a unique shareable link List of past/upcoming interviews with status (scheduled, in-progress, completed) Quick stats: total interviews conducted, average duration Copy link button with visual feedback Dashboard (for Candidates) List of interview invitations Join interview via link/code input Interview history with dates and status Main Interview Room (the core collaborative coding interface) Code Editor Panel: Syntax highlighting for multiple languages (JavaScript, Python) Language selector dropdown Line numbers Auto-indentation Theme toggle (light/dark mode) Real-time collaborative editing (show cursors of other users with their names) Output/Console Panel: "Run Code" button Display execution output/errors Clear console button Execution time display Video/Audio Section (mockup only): Placeholder for video feeds Mute/unmute buttons Camera on/off toggle UI ready for WebRTC integration later Chat Panel: Real-time text chat between participants Timestamps on messages "User is typing..." indicator Problem Description Panel (collapsible): Display coding problem/instructions Markdown support Examples and constraints section Interview Controls (for Interviewer) End interview button Timer (interview duration) Notes panel (private, only visible to interviewer) Rate candidate (after interview ends) Lobby/Waiting Room Shown before interview starts "Waiting for host to start the session" message Test audio/video (mockup) System requirements check UI Interview Templates (for Interviewers) Pre-saved coding problems/questions Create/edit/delete templates Select template when starting interview Technical Requirements: Frontend: React + Vite + TypeScript Styling: Tailwind CSS for a modern, responsive design Code Editor: Use Monaco Editor (VS Code's editor) or CodeMirror State Management: Zustand or React Context Routing: React Router Mock all backend functionality: Simulate real-time collaboration (use local state to mimic WebSocket updates) Mock code execution (return predefined outputs based on language/code patterns) Simulate multiple users in the room (show fake cursors moving, fake chat messages appearing) Mock user authentication (store in localStorage) Centralize all API calls: Create an api/ folder with service files All mock backend calls should go through these services Easy to replace with real API calls later Include types/interfaces for all API responses Testing: Cover all core logic with unit tests (Vitest) Test user flows: login, create interview, join interview, run code Test edge cases: invalid login, expired interview link, empty code execution UI/UX Requirements: Responsive design (desktop-first, but mobile-friendly) Loading states and skeletons Toast notifications for actions (link copied, code executed, etc.) Keyboard shortcuts (Cmd/Ctrl+Enter to run code, Cmd/Ctrl+S to save) Accessible (proper ARIA labels, keyboard navigation) Demo Mode: Include a "Demo Interview" that auto-plays: shows a simulated interview with code being typed, chat messages appearing, and code being executed — as if two people are actually conducting an interview. This demonstrates the platform's capabilities. Make everything interactive and functional with mocked data. The goal is a production-ready frontend that only needs real backend integration to go live. | 1 |
| Build a real-time collaborative coding interview platform with these features: - Create and share session links - Multiple users can edit code simultaneously with real-time updates - Support future syntax highlighting for multiple languages (do not implement now, but make easy to implement in future) - Execute Python code safely in the browser (using WASM, not server-side) - Use WebSockets for real-time communication Tech stack: - Frontend: React + Vite + CodeMirror 6 - Backend: FastAPI (Python) - Python execution: Pyodide (WASM) - Dev tools: concurrently to run both client and server Start by setting up the project structure with both frontend and backend, and get a basic FastAPI health endpoint and React app running. | 1 |
| I need to create end-to-end application for my course. I've got these instructions: We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser You can choose any technologies you want. For example: Frontend: React + Vite Backend: Express.js We recommend using JavaScript for frontend, because with other technologies, some of the homework requirements may be difficult to implement. Question 1: Initial Implementation Ask AI to implement both frontend and backend - in one prompt. Note: you can also follow the same path as in the videos and make it in 3 steps: Frontend OpenAPI specs Backend What's the initial prompt you gave to AI to start the implementation? Copy and paste it in the homework form. Question 2: Integration Tests Maybe at this point your application will already function. Maybe not. But it's always a good idea to cover it with tests. We usually do it even before trying to run the application because it helps to resurface all the problems with implementation. Ask AI to write integration tests that check that the interaction between client and server works. Also it's a good idea to ask it to start creating a README.md file with all the commands for running and testing your application. What's the terminal command you use for executing tests? Question 3: Running Both Client and Server Now let's make it possible to run both client and server at the same time. Use concurrently for that. What's the command you have in package.json for npm dev for running both? Question 4: Syntax Highlighting Let's now add support for syntax highlighting for JavaScript and Python. Which library did AI use for it? Question 5: Code Execution Now let's add code execution. For security reasons, we don't want to execute code directly on the server. Instead, let's use WASM to execute the code only in the browser. Which library did AI use for compiling Python to WASM? Question 6: Containerization Now let's containerize our application. Ask AI to help you create a Dockerfile for the application. Put both backend and frontend in one container. What's the base image you used for your Dockerfile? Question 7: Deployment Now let's deploy it. Choose a service to deploy your application. Which service did you use for deployment? I need you to create a good, clear, step by step prompts for each step from the instructions. I want a modern frontend using React, Vite, and as you've read we will using Python and Express.js, WASM, concurrently, etc. | 1 |
| We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser I recommend JavaScript for frontend. Do not implement the backend now. Mock everything. But centralize all the calls to the backend in one place. | 1 |
| You need to build a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser You need to use some JS framework for both frontend and backend Make fronted stye with minimal colors Make limit for simultaneously connected user in platform at 10. | 1 |
| Implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates; Allow everyone who connects to edit code in the code panel; Show real-time updates to all connected users; Support syntax highlighting for multiple languages; Execute code safely in the browser. Implement frontend in the ./frontend folder and backend in the ./backend folder. The frontend uses React + Vite. After implementing the frontend, extract OpenAPI specs from the frontend, and then create the backend uses Express.js based on the OpenAPI specs. | 1 |
| Next homework: We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser Frontend: Vue 3 + Vite Backend: nest.js frontend and backend should be implemented in one project, frontend should be in folder frontend, backend in folder backend, base folder for project is homework-2 Frontend should be with modern UI/UX design, maybe use for UI some UI most popular framework for Vue 3 projects | 1 |
| I need your help to build a small end-to-end web application for online coding interviews. Requirements: The app should let me create a unique link/room ID and share it with candidates. Everyone who opens the same link should see a shared code editor and be able to edit the code. Changes must be synchronized in real time between all connected users. It should support syntax highlighting for multiple languages (at least JavaScript and Python). It should execute code safely in the browser (no untrusted code on the server). Tech stack (please follow this): Frontend: React + Vite Backend: Node.js + Express Real-time: Socket.IO (or a similar WebSocket library) Code editor: use a React code editor component with syntax highlighting (your choice, but it must support JS and Python). Code execution: JavaScript: execute in the browser in a sandboxed way Python: use a Python-to-WASM solution like Pyodide, so all execution stays in the browser What I want from you in one response: Project structure (assume a monorepo layout: /client for Vite React app and /server for Express app, plus root package.json). All package.json files with scripts for: starting the backend starting the frontend running tests Full source code for: server/index.js (Express + Socket.IO, rooms by ID, broadcasting code changes) client/src/main.jsx and client/src/App.jsx a React component for the collaborative editor (with syntax highlighting and language selector) a small API client or Socket.IO client on the frontend A simple way to generate a room link (e.g., “New Session” button that navigates to /room/<randomId>). A minimal implementation of code execution in the browser: JavaScript execution in a safe way (no eval on global scope – use a sandboxed function or iframe) Python execution via Pyodide (load it from CDN and show how to run the code and display stdout / errors). Basic README instructions with commands for: installing dependencies running the backend running the frontend running the tests Please keep the implementation as simple and clear as possible, focusing on correctness and end-to-end functionality rather than styling. | 1 |
| "Create an online coding interview platform using Python and Streamlit. The application should include the following features: 1. A code editor that supports syntax highlighting for multiple languages (e.g., Python, JavaScript). 2. Real-time code sharing between users. 3. A mechanism to execute the code safely in the browser (e.g., using WASM/Pyodide). 4. A way to share the session via a link. Please provide the full implementation including the necessary dependencies." | 1 |
| Role: You are an expert Frontend Engineer. Task: Create a single-page React application (Vite + React) that implements a collaborative coding interview UI. Requirements: Tech: React (TypeScript optional), Vite, Tailwind (or plain CSS). Pages / UI: landing with “Create session” button; session page with: code editor panel (editable), participant list, leaderboard mock, run button, language selector (js/python). Editor: integrate CodeMirror (or Monaco) with syntax highlighting for JS/Python. Networking: do not implement backend calls yet — centralize all HTTP + WS calls into a single file src/lib/api.ts with stubbed endpoints matching expected shapes. Use WebSocket client logic that connects to ws://localhost:8000/ws/{session_id} (mocked behavior). Tests: add basic unit tests (vitest) for editor logic and mockBackend tests. Provide npm run dev, npm test. Output: produce a Git commit with the frontend scaffold under frontend/, including package.json, vite.config, src/, tests, and a README.md with run/test commands. Constraints: keep project minimal but production-styled (ESLint config optional). Use clear relative paths. Deliverable: list of created files and exact npm install + npm run dev commands. | 1 |
| We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser Use folowwing technologies: Frontend: React + Vite Backend: Express.js | 1 |
| You are an expert full-stack engineer. Build a web application for online coding interviews with the following requirements. Tech stack - Frontend: React + Vite (TypeScript if possible) - Backend: Express.js - Real-time: WebSockets (e.g., Socket.io) - Styling: Simple, clean responsive UI (TailwindCSS or similar if available) Main goal A platform where an interviewer can create a coding interview session, share a link with a candidate, and both can collaborate in real-time on a shared code editor with syntax highlighting and safe in-browser code execution. Core features 1. Create interview session - A landing page with a button: “Create new interview”. - When clicked, the backend creates a **unique session ID** (e.g., short UUID). - Show a page with: - Session URL to share (e.g., /session/:id). - A button “Copy link”. 2. Join via link - Any user who opens /session/:id joins that coding room. - No complex auth for now: just ask for a display name (“Interviewer”, “Candidate”, etc.). - Show who is connected in a small participants list 3. Collaborative code editor - Shared code editor panel with: - Real-time code synchronization across all connected users using WebSockets. - Syntax highlighting for multiple languages (e.g., JavaScript, Python, Java, C++). - Ability to select language from a dropdown. - Use a robust editor component if possible (e.g., Monaco Editor / CodeMirror or similar). 4. Real-time updates - Any change in the code editor is broadcast to all users in the same session instantly. - Handle cursor / selection gracefully (optional but nice to have). - Show a small indicator like “Connected users: N”. 5. Safe in-browser code execution - Add a “Run code” button. - Code should be executed safely in the browser: - Prefer Web Worker or similar sandbox solution. - No direct execution of arbitrary code on the backend. - Show the output (stdout / errors) in an Output panel below the editor. - Initially, support at least JavaScript execution in the browser. If multi-language execution in-browser is complex, implement: - Full JS execution, and - For other languages, simulate output with a placeholder or a clear “Not yet supported” message. Pages / Screens 1. Landing page - Simple description: “Online coding interview platform.” - Button: “Create new interview”. - List of example features (real-time editor, multi-language syntax highlighting, safe code run). 2. Session page (/session/:id) - Input or modal to enter display name when joining. - Layout: - Left/top: Collaborative code editor. - Right/side panel: Participants list and maybe a small chat area (optional). - Bottom: Output console with results from code execution. - Controls: - Language selector. - “Run code” button. - “Copy session link” button. --- Backend requirements (Express.js) - Endpoint to create a new session and return a unique ID. - WebSocket (or Socket.io) integration for: - Broadcasting code changes. - Notifying when users join/leave. - In-memory storage for sessions is fine (no DB required for v1). Non-functional requirements - Clean, modern UI with clear typography. - Responsive design (usable on laptop and tablet at least). - Simple, well-organized project structure. - Add basic error handling and loading states. - Include minimal comments in the code explaining the main parts (especially real-time sync and in-browser execution). | 1 |
| We will implement a platform for online coding interviews. - The app should be able to do the following: - Create a link and share it with candidates - Allow everyone who connects to edit code in the code panel - Show real-time updates to all connected users - Support syntax highlighting for multiple languages - Execute code safely in the browser Implement both frontend and backend. Using JavaScript is recommended for frontend, because with other technologies, some of the homework requirements may be difficult to implement. | 1 |
| > create the snake game with two models: pass-through and walls. prepare to make it multiplayers - we will have this functionality: leaderboard and watching (me following other players that currently play). add mockups for that and also for log in. > everything should be interactive - I can log in, sign up, see my username when I'm logged in, see leaderboard, see > other people play (in this case just implement some playing logic yourself as if somebody is playing) > make sure that all the logic is covered with tests > > don't implement backend, so everything is mocked. But centralize all the calls to the backend in one place OpenAI Specs: analyse the content of the client and create an OpenAPI specs based on what it needs. later we want to implement backend based on these specs Backend: > based on the OpenAPI specs, create fastapi backend > for now use a mock database, which we will later replace with a real one > create tests to make sure the implementation works > > follow the guidelines in AGENTS.md | 1 |
| Create a real-time collaborative coding platform with Python FastAPI backend and React frontend. Use WebSockets for real-time updates. | 1 |
| We will implement a platform for online coding interviews. Follow the guidelines set forth in product_requirements_description.md file. Use React for the frontend and OpenAPI and FastAPI for the backend. Follow the guidelines in AGENTS.md. product_requirements_description.md: The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser | 1 |
| Provide app that should be able to do the following. Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser. Consider frontend with Frontend: React + Vite and Backend with Python, FastAPI. | 1 |
| Act as an expert full stack developer. I want to implement a prototype of a platform for online coding interviews. It should consist of a frontend and a backend. The frontend should be implemented with React+Vite and the backend with Express.js. It should be kept as simple as possible. User should be able to log in and out. For an interview it should be possible to create a link and share it with candidates. to log into that particular session, the candidate should be able to enter the link and log in. There should be a code panel where everyone can edit the code during the interview. Interviewers in the correct session should be able to see the code and how it updated. All logged in users should be displaced in the upper right corner. If a new user joins, the nickname should be updated in the upper right corner and a message should be displayed that a new user joined. there should be a button to execute the code. The execution results should be displaced next to the code panel. If a interviewer or candidate leaves the session, the nickname in the upper right corner should be removed and a message should be displayed that a user left the session. There should be a landing page in which users can create a session and share the link with candidates. These are the features of the platform: 1) Create a link and share it with candidates 2) Allow everyone who connects to edit code in the code panel 3) Show real-time updates to all connected users The frontend and backend should be implemented separately in two folders called frontend and backend. These folders should also include suitable unit tests for the specific part. Let's start with the frontend and create the code for it. Set it up in such a way that the backend can be mocked easily in the tests. Also add the tests for the frontend. make sure everything works properly for the frontend. Make sure it is clean and simple code. Keep in mind it is a prototype and should be kept as simple as possible. Add a github workflow for executing the tests for the frontend. Make sure that everything runs successfully and that all functionality in the frontend is tested. Add a readme file in the frontend folder that describes how the code can be run and tested. Describe the design considerations and the architecture of the frontend. Describe the technologies used and the tools used. Describe the structure of the frontend. Finally, create an openAPI spec file which should be on the root level of the project tha should define the interface between the frontend and the backend. It should be complete and well documented. | 1 |
| I want to build an end-to-end application, We will implement a platform for online coding interviews. The app should be able to do the following: *Create a link and share it with candidates *Allow everyone who connects to edit code in the code panel *Show real-time updates to all connected users *Support syntax highlighting for multiple languages *Execute code safely in the browser *You can choose any technologies you want. make sure the selected technology is optimised for the features of the application being built For example: Frontend: React + Vite Backend: Express.js | 1 |
| I would like to build a new application. I would like you to suggest a backend technology, either nodejs or fastapi. For the frontend, let's use react. The application is a live coding platform designed for coding interviews. So one person will be the interviewer and can create a link to send another user which, when clicked, will connect the user to the same live session as the interviewer. Here are the requirements. Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser with WASM | 1 |
| I'd love your help in another assignment I have for an ai dev tools zoomcamp I'm doing! you helped with homework #1 and I'd like for your help on #2 as well. Here's the setup: End-to-End Application Development In this homework, we'll build an end-to-end application with AI. You can use any tool you want: ChatGPT, Claude, GitHub Copilot, Codex, Cursor, Antigravity, etc. With chat-based applications you will need to copy code back-and-forth, so we recommend that you use an AI assistant in your IDE with agent mode. We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser You can choose any technologies you want. For example: Frontend: React + Vite Backend: Express.js We recommend using JavaScript for frontend, because with other technologies, some of the homework requirements may be difficult to implement. But you can experiment with alternatives, such as Streamlit. You don't need to know these technologies for doing this homework. | 1 |
| I pasted in the homework description. | 1 |
| We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser Choose the following technologies: Frontend: HTMX Backend: Go Bootstrap the project, so that it has only basic functionality at start | 1 |
| Create a coding interview platform with the following features: - Create shareable links for candidates - Real-time collaborative code editing - WebSocket for real-time synchronization - Syntax highlighting for JavaScript, Python, Go, Java - Safe code execution in the browser Technologies: React + Vite (frontend), Python + FastAPI (backend) | 1 |
| You are a senior full-stack engineer. I want you to implement a small web app for online coding interviews, with BOTH frontend and backend in a single answer. **Goal / Description** Build a minimal but working “collaborative coding interview” platform where an interviewer generates a link, shares it with a candidate, and both can edit code together in real time in the browser. **Core Requirements** 1. Create a link (session/room) and share it with candidates. - A simple “Create session” button that generates a unique room ID and URL (e.g. /room/:roomId). - Anyone with the URL can join the same room. 2. Real-time collaborative code editor. - Everyone in the same room sees the same code. - Changes by any user should appear in real time for all connected users. - Use WebSockets (e.g. socket.io) or native WebSocket API. 3. Multi-language syntax highlighting. - Support at least: JavaScript, Python, and Java. - A language dropdown to switch the language mode in the editor. 4. Safe code execution in the browser. - Provide a “Run” button. - For JavaScript: execute the code safely in the browser (e.g. via a sandboxed iframe or Web Worker). - For non-JS languages, it’s OK to simulate execution (e.g. mock result or simple “not supported yet” message), but structure the code so backend execution could be added later. - Show stdout / result in a separate output panel. 5. Real-time updates for metadata. - If one user changes the language, all others in the same room see the change. - If one user clears the editor, others see it. **Tech Stack (you can choose reasonable defaults)** - Frontend: - React + Vite (preferred) - A collaborative code editor (e.g. Monaco Editor or CodeMirror) - TypeScript is optional; JavaScript is fine. - Backend: - Node.js + Express.js - WebSockets (e.g. socket.io) for real-time communication **Architecture / Behavior** - A single “session” or “room” represents one coding interview. - When the user clicks “Create Session”: - Backend generates a unique ID and returns a URL. - Frontend navigates to that URL and initializes the editor. - When another user opens the same URL: - They join the existing room and receive the current code + language. - Their changes are broadcast to others in the room. **What I Want From You (format of your answer)** Please provide: 1. **Project structure** - Show a simple folder tree (e.g. `/client`, `/server`) with key files. 2. **Frontend code (React + Vite)** - `main.jsx` / `App.jsx` (or similar) with routing: - A home page with “Create Session” button + input to join by ID. - A room page with: - Code editor - Language selector - Run button - Output panel - The code editor component wired to WebSockets for: - code changes - language changes - Code for calling backend API to create a new session. 3. **Backend code (Express + WebSockets)** - Express app setup (e.g. `server.js` or `index.js`). - Endpoint: `POST /api/session` to create a new session/room ID. - WebSocket / socket.io server: - Join rooms by `roomId`. - Broadcast code changes and language changes to others in the room. - Store latest state in memory (no database required) so new users joining get current code/language. 4. **Safe JS execution** - A simple example of how to safely run JavaScript code in the browser from the editor contents: - e.g. via a sandboxed iframe or Web Worker. - Show how the result is captured and displayed in the output panel. 5. **Instructions** - Step-by-step instructions to run the app locally: - how to install dependencies - how to start backend server - how to start frontend dev server - which URLs to open in the browser Please keep everything in one coherent answer, and make sure the code snippets are as complete as possible so I can copy them into files and run the project. | 1 |
| We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser Use: Frontend: React + Vite Backend: Express.js | 1 |
| You are an expert on AI assisted coding .using references from the open internet generate an Agents.md file that follows best practices for creating a python based web application using the uv tool and for building an interactive frontend using react and npm. The application is called CodeDojo and its purpose will be to be a collaborative environment for users to practice coding interviews. the agents.md file should focus on ensuring that the approach the AI coding agents use follows best practices in testing and allows the resulting application to be deployed to the Render service as a single docker image | 1 |
| Let's implement a coding interview app using the next requisites: The app should be able to do the following: - Create a link and share it with candidates - Allow everyone who connects to edit code in the code panel - Show real-time updates to all connected users - Support syntax highlighting for multiple languages - Execute code safely in the browser Use fastAPI for the backend and React + Vite for the frontend. In addition, we need postgres for db. Generate the OpenAPI Spect. Follow the directives in AGENT.md. FYI, I already have the project into a git repo, so you don't need to create a new repo. | 1 |
| Create a full-stack application with a React frontend (Vite) and an Express backend for a coding interview platform. | 1 |
| We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser I want to create the backend. First, move all frontend files into a dedicated folder. Then analyse the content of the client and create OpenAPI specs based on what it needs. later we want to implement backend based on these specs. | 1 |
| Implement a platform for online coding interviews, use JavaScript for the Frontend and Express.js for Backend | 1 |
| Build a simple full-stack application called 'PyShare'. It is a real-time collaborative Python editor. Requirements: Tech Stack: Frontend using React + Vite. Backend using Express.js with Socket.io. Editor: A main text area where users can type Python code. Use react-syntax-highlighter or a simple textarea for now. Real-time: Use Socket.io to sync the code. When I type, it should update for all other connected users instantly. Execution: Add a 'Run Code' button. When clicked, execute the Python code in the browser using the pyodide library (WASM). Show the output in a console div below the editor. Structure: Provide the file structure and the code for server.js, App.jsx, and package.json. Style: Make it look clean with basic CSS. | 1 |
| The "Snake" game is a classic game where a player controls a long, growing line, or "snake," on a grid, navigating to eat food items while avoiding self-collision and boundary walls. The objective is to get the highest score by eating as much food as possible before the game ends, which occurs if the snake hits the border or its own tail. With each item eaten, the snake gets longer, making the game progressively more difficult. It will be WEB Snake Game. | 1 |
| You are an expert frontend engineer and AI pair programmer. I want you to build the **frontend only** for a small “online coding interview platform”. Later I will add a Node/Express + Socket.IO backend, so please structure the code with that in mind, but for now focus purely on the client. --- ## Tech + Project Setup Please: 1. Create a React app using **Vite** in a `/client` folder (or the root if that’s easier, but keep it logically separated as “frontend”). 2. Use **JavaScript** (no TypeScript). 3. Use: - `monaco-editor` for the code editor - `socket.io-client` prepared for real-time collaboration (even if the backend is not ready yet) - **Pyodide** (Python → WASM) for in-browser Python execution Set up `npm` scripts so that I can run: - `npm install` - `npm run dev` (Vite dev server) --- ## UI / UX Style The style should be: - **Clean, contemporary, and minimal** - Light theme, good spacing, simple typography - No heavy UI frameworks needed (simple CSS / CSS modules is fine) Suggested layout: - A **top bar** with: - App name (e.g. “CodePair”) - Session ID (if on a session page) - A “Copy link” button (for the session URL) - Main area: - **Code editor** (Monaco) as the main central panel - Above/beside editor: language selector (JS / Python / SQL) + “Run” button - Below editor: **Output panel** showing stdout/errors - Optionally, a small indicator for number of connected users (stubbed for now if backend isn’t hooked up) Keep it visually simple but modern. --- ## Functionality (Frontend Only) ### Routing & Sessions Use React Router or a simple routing solution so that: - `/` (root): - Shows a minimal landing page with: - Short description/title - A “Create new session” button - When clicked: - Generate a random session ID (short random string) - Navigate to `/session/:sessionId` - `/session/:sessionId`: - Loads the main editor UI - Shows the current `sessionId` in the top bar - Prepares a **Socket.IO client connection** to `http://localhost:4000` (backend will be added later) - For now, handle missing backend gracefully (e.g. show “Disconnected” indicator or ignore connection errors). ### Code Editor + Languages Use **Monaco Editor** with syntax highlighting for three languages: - JavaScript - Python - SQL Requirements: - Create a reusable `CodeEditor` component that: - Accepts `value`, `onChange`, and `language` props - Configures Monaco’s language mode based on selected language: - JS → `javascript` - Python → `python` - SQL → `sql` - Create a `LanguageSelector` component: - Dropdown with options: JavaScript, Python, SQL - Controlled by state in the parent (`App` or `SessionPage`) ### Code Execution (Client Side) Add a **“Run”** button and an **OutputPanel**: - When user clicks **Run**: - If language is **JavaScript**: - Execute code in the browser using `Function` or similar. - Capture `console.log` outputs and errors. - If language is **Python**: - Use **Pyodide** (loaded in the browser) to execute the code via WASM. - Show stdout and errors in the output panel. - If language is **SQL**: - For now, **do NOT execute** SQL. - Instead, show a message in the output panel: - “SQL execution is not supported yet. Syntax highlighting only.” - Build an `OutputPanel` component to display: - The last run’s output (string or list of lines) - Any error messages - Make sure the code execution runs entirely in the browser (no backend calls for execution). ### Real-Time Collaboration (Client Prep Only) We’re not implementing the backend yet, but please: - Set up a **Socket.IO client** in the session page that: - Connects to `http://localhost:4000` and joins the room for `sessionId` - Listens for events like `code:update` - Emits `code:update` when the editor content changes - Wrap this so that: - The app still **works locally** even if the backend is not running (handle connection errors without crashing). - If the socket is disconnected, maybe show a small “Offline / Not connected” label somewhere, but keep everything usable. You can stub some behavior if needed, but keep the structure ready so I can plug in the backend later. --- ## Components and Structure Inside `/client/src`, please create something like: - `main.jsx` – Vite entry - `App.jsx` – top-level routing/shell - `pages/LandingPage.jsx` – root page with “Create session” button - `pages/SessionPage.jsx` – main session view (editor + controls) - `components/TopBar.jsx` - `components/LanguageSelector.jsx` - `components/CodeEditor.jsx` - `components/OutputPanel.jsx` - `hooks/useSocket.js` – custom hook to manage Socket.IO connection for a given session ID (even if backend is not ready yet) - `styles` folder or `App.css` for minimal, modern styling Feel free to adjust the exact file names if you prefer, as long as it’s clean and easy to understand. --- ## Deliverables 1. Create all necessary files and folders. 2. Install all required dependencies (React, Vite, monaco-editor, socket.io-client, any Pyodide loader or script tags). 3. Configure `npm run dev` to run the Vite dev server. 4. Make sure the app builds and runs without errors **even if the backend is not running**. 5. Add comments where helpful to explain: - How the editor is wired - How language selection works - Where Socket.IO will plug in later - How Pyodide is loaded and used After you finish, please: - Run the dev server - Open the app in the browser - Verify: - Landing page appears - “Create session” navigates to a working session page - Editor works - Language selector switches Monaco highlighting between JS/Python/SQL - “Run” works for JS and Python, and shows the SQL message for SQL If you encounter any issues, please fix them automatically and retry until the frontend runs cleanly. | 1 |
| In Homework2, create a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser For frontend, please use javascript/react/vite For backend, please use any language that is suitable for the project goal and light to develop (maybe Express.js?). Please organize the folders in this project as below: backend/ frontend/ OpenAPI specs | 1 |
| Create the snake game with two models: pass-through and walls. prepare to make it multiplayers - we will have the following functionality: leaderboard and watching (me following other players that currently play). add mockups for that and also for log in. everything should be interactive - I can log in, sign up, see my username when I~m logged in, see leaderboard, see other people play (in this case just implement some playing logic yourself as if somebody is playing) make sure that all the logic is covered with tests Don't implement backend, so everything is mocked. But centralize all the calls to the backend in one place | 1 |
| Create a full-stack application for online coding interviews. Frontend: React + Vite + TypeScript + Tailwind CSS + Shadcn UI. Backend: FastAPI + WebSocket for real-time collaboration. Features: - Create room with unique ID - Real-time code editing (monaco or simple editor) with syntax highlighting - Execute code in browser (JS via Web Worker, Python via Pyodide) - Chat and participant list - Task library with predefined questions Make sure to use a modular structure. | 1 |
| We will create homework project. In this homework, we'll build an end-to-end application with AI. We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser For fronted use React + Vite, Backend: Express.js. Use 02-code-inteview-app as a root for this project. Let's do all step by step. Frontend OpenAPI specs Backend | 1 |
| create the snake game with two models: pass-through and walls. prepare to make it multiplayers - we will have this functionality: leaderboard and watching (me following other players that currently play). add mockups for that and also for log in. everything should be interactive - I can log in, sign up, see my username when I'm logged in, see leaderboard, see other people play (in this case just implement some playing logic yourself as if somebody is playing) make sure that all the logic is covered with tests don't implement backend, so everything is mocked. But centralize all the calls to the backend in one place Create the frontend and put it to Github. | 1 |
| Let’s create a web platform for online coding interviews. The app should be able to do the following: • Create a link and share it with candidates • Allow everyone who connects to edit code in the code panel • Show real-time updates to all connected users • Support syntax highlighting for multiple languages • Execute code safely in the browser Use the following technologies • Frontend: Javascript • Backend: Python Develop the code in 3 steps: 4. Frontend 5. OpenAPI specs 6. Backend | 1 |
| Build a collaborative coding interview platform with React+Vite frontend and Express.js backend. Features: create/share session links, real-time collaborative editing with WebSocket, syntax highlighting for JavaScript and Python, and browser-based code execution using WASM. Use Socket.IO for real-time communication and CodeMirror for the editor. | 1 |
| this is a platform for online coding interviews. Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser use Python stack (Streamlit + FastAPI + Socket.IO) | 1 |
| ## Description implement a platform for online coding interviews. The app should be able to do the following: - Create a link and share it with candidates - Allow everyone who connects to edit code in the code panel - Show real-time updates to all connected users - Support syntax highlighting for multiple languages - Execute code safely in the browser ## Frontend (Client): - Use React + Vite - Create The frontend with mockup data, don't add or implement Backend for the Application. ## OpenAPI Specs scan and check the code well in frontend which contains a frontend for real-time coding interview platform, I need an open-api yaml file for the routes and all backend requirements ## Backend (Server): - Express.js - Frontend implemented with mockup data, and openapi specs created for the backend. I now need to implement the backend using Express.js Following OpenAPI specs and the Frontend, create the backend with dummy data till now. | 1 |
| create the snake game with two models: pass-through and walls. prepare to make it multiplayers - we will have this functionality: leaderboard and watching (me following other players that currently play). add mockups for that and also for log in. everything should be interactive - I can log in, sign up, see my username when I'm logged in, see leaderboard, see other people play (in this case just implement some playing logic yourself as if somebody is playing) make sure that all the logic is covered with tests don't implement backend, so everything is mocked. But centralize all the calls to the backend in one place I also added from the original result with prompt: Update the fonts to a clean, modern look and change the color scheme from green to a soft, eye-friendly blue. | 1 |
| Implement a platform for online coding interviews. The app should be able to do the following: - Create a link and share it with candidates - Allow everyone who connects to edit code in the code panel - Show real-time updates to all connected users Use the following technologies - Frontend: React + Vite - Backend: Express.js - Create OpenAPI specs to link frontend and backend | 1 |
| Can you provide me a step-by-step guide starting with the implementation of frontend and backend? | 1 |
| I need to build a complete end-to-end online coding interview platform with the following requirements: CORE FEATURES: 1. Create shareable links for coding interviews 2. Real-time collaborative code editing (all connected users see updates instantly) 3. Syntax highlighting for JavaScript and Python 4. Safe code execution in the browser using WASM (NOT server-side execution) 5. WebSocket-based real-time synchronization TECHNICAL REQUIREMENTS: - Frontend: React + Vite - Backend: Express.js with WebSocket support - Code execution: Browser-only using WASM (for security) - Real-time updates: WebSocket or similar technology - Syntax highlighting library of your choice DELIVERABLES: 1. Complete frontend and backend implementation 2. Integration tests covering client-server interaction 3. README.md with setup and running instructions 4. package.json configured with: - Script to run both client and server concurrently using `concurrently` - Script named "dev" for development - Script for running tests 5. Dockerfile that containerizes both frontend and backend in a single container PROJECT STRUCTURE: - Organize as a monorepo or separate client/server folders - Include all necessary configuration files - Provide clear file organization Please implement the complete application with all features, tests, documentation, and containerization in one go. Make sure the code is production-ready with proper error handling. | 1 |
| Initial prompt: Build a realtime coding interview platform with React+TS+Vite + Tailwind + React Router (frontend), prep for WebSockets + FastAPI backend + real code execution; Run initially echoed code. I added a FastAPI backend stub with /run echo and WS echo. | 1 |
| End-to-End Application Development In this homework, we'll build an end-to-end application with AI. You can use any tool you want: ChatGPT, Claude, GitHub Copilot, Codex, Cursor, Antigravity, etc. With chat-based applications you will need to copy code back-and-forth, so we recommend that you use an AI assistant in your IDE with agent mode. We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser You can choose any technologies you want. For example: Frontend: React + Vite Backend: Express.js We recommend using JavaScript for frontend, because with other technologies, some of the homework requirements may be difficult to implement. But you can experiment with alternatives, such as Streamlit. You don't need to know these technologies for doing this homework. Question 1: Initial Implementation Ask AI to implement both frontend and backend - in one prompt. Note: you can also follow the same path as in the videos and make it in 3 steps: Frontend OpenAPI specs Backend What's the initial prompt you gave to AI to start the implementation? Copy and paste it in the homework form. Question 2: Integration Tests Maybe at this point your application will already function. Maybe not. But it's always a good idea to cover it with tests. We usually do it even before trying to run the application because it helps to resurface all the problems with implementation. Ask AI to write integration tests that check that the interaction between client and server works. Also it's a good idea to ask it to start creating a README.md file with all the commands for running and testing your application. What's the terminal command you use for executing tests? Question 3: Running Both Client and Server Now let's make it possible to run both client and server at the same time. Use concurrently for that. What's the command you have in package.json for npm dev for running both? Question 4: Syntax Highlighting Let's now add support for syntax highlighting for JavaScript and Python. Which library did AI use for it? Question 5: Code Execution Now let's add code execution. For security reasons, we don't want to execute code directly on the server. Instead, let's use WASM to execute the code only in the browser. Which library did AI use for compiling Python to WASM? Question 6: Containerization Now let's containerize our application. Ask AI to help you create a Dockerfile for the application. Put both backend and frontend in one container. What's the base image you used for your Dockerfile? Question 7: Deployment Now let's deploy it. Choose a service to deploy your application. Which service did you use for deployment? Homework URL Commit your code to GitHub. You can create a repository for this course. Within the repository, create a folder, e.g. "02-coding-interview", where you put the code. Use the link to this folder in the homework submission form. Don't forget to commit your code at every step. You can create an AGENTS.md file with the instructions for AI to help you with git commands. Tip You can copy-paste the homework description into the AI system of your choice. But make sure you understand (and follow) all the steps in the response. create step by step prompt for each step to prompt AI | 1 |
| Generate a full-stack real-time coding interview platform with shared editing, WebSocket-based realtime updates, syntax highlighting using CodeMirror or Monaco Editor, safe Python execution in-browser via Pyodide, FastAPI backend with SQLAlchemy (SQLite) and React frontend. Provide docker-compose configuration, integration tests, and CI/CD pipeline. | 1 |
| We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser You can choose any technologies you want. For example: Frontend: JavaScript Backend: bun (https://bun.com/docs) First draft Product Requirements Document PRD.md file, next make a detailed development plan DEV_PLAN.md, then start implementation following the plan | 1 |
| Please implement an app for online coding interviews; implement both frontend and backend separately. The app should be able to do the following: 1. Create a link and share it with candidates 2. Allow everyone who connects to edit code in the code panel 3. Show real-time updates to all connected users 4. Support syntax highlighting for multiple languages 5. Execute code safely in the browser | 1 |
| Frontend prompt for lovable: "Build a React/Next.js frontend for a collaborative coding platform: create/share sessions, real-time multi-user editor with syntax highlighting, language dropdown, safe in-browser execution, interactive UI, mock backend calls, ready for future Express integration." backend prompt for Github Copilot: "based on the OpenAPI specs, give me step by step command for creating backend with expressjs, use a mock database, which we will later replace with a real one" | 1 |
| Create me a PRD in markdown format for this app requirements: Implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser You can choose any technologies you want. For example: Frontend: React + Vite Backend: Express.js We recommend using JavaScript for frontend, because with other technologies, some of the homework requirements may be difficult to implement. | 1 |
| 💻 AI Prompt for a Real-Time Collaborative Coding Interview App Goal: Design a specification for a Real-Time Collaborative Coding Interview Platform (similar to CoderPad or Google Docs for code) focusing on core functionality, architecture, and advanced features. 🚀 Core Requirements The application must meet the following fundamental criteria: Session Management & Sharing: Generate a unique, shareable URL link for each coding session/room. Provide simple mechanisms (e.g., button, copy to clipboard) for the host to share this link with candidates. Collaborative Code Editing: Enable all connected users (host and candidates) to simultaneously edit the code panel. Ensure real-time synchronization of all edits across all active user sessions (using technologies like WebSockets). Code Editor Functionality: Implement syntax highlighting for at least 10 major programming languages (e.g., Python, JavaScript, Java, C++, Go, Ruby). Support basic editor features (indentation, line numbering, bracket matching, undo/redo). Code Execution & Safety: Provide a secure, sandboxed environment to execute the code directly in the browser or via a secure backend service. Display the output (STDOUT) and error messages (STDERR) clearly in a dedicated console panel in real-time. ✨ Necessary & Nice-to-Have Features Incorporate the following features to enhance the platform's utility for technical interviews: Interview State Management: Allow the host to save the session's code and conversation history for later review. Implement a reset button to clear the code panel back to a blank state or a pre-defined template. Integrated Communication: Add a real-time chat panel (text-based) alongside the code editor for discussion and question asking. Nice-to-Have: Integrate optional voice/video conferencing directly within the session interface. Whiteboarding/Drawing Panel: Include a separate, collaborative whiteboarding area for drawing diagrams, sketching architectures, or solving non-code problems. Pre-loaded Templates & Libraries: Allow the host to select a starting template for a session (e.g., a simple "Hello World" boilerplate in the selected language). Support the inclusion of common unit testing frameworks (e.g., Jest, Pytest) that can be executed alongside the main code. Access Control: Implement basic host/guest roles to differentiate between interviewers and interviewees. Allow the host to lock the session or restrict editing once the interview time is up. 🛠️ Technical Considerations Proposed Architecture: Suggest a technology stack (e.g., Frontend: React/Vue/Angular; Backend: Node.js/Python with an appropriate framework; Real-Time: WebSockets/Socket.io). Security: Detail the steps required for sandbox security (e.g., using isolated containers like Docker or a specialized execution service) to prevent malicious code execution from impacting the server. 🎨 UI Specifications: Collaborative Coding Platform The interface should be designed for maximum clarity, focus, and usability for both the Host/Interviewer and the Candidate/Interviewee. The layout will primarily use a three-column or split-panel design. 1. Overall Layout & Design Aesthetic: Clean, modern, professional, and dark-mode friendly (or offer a dark/light mode toggle). Responsiveness: Must be fully responsive for use on standard desktop and laptop screens (interview setting). Focus: The Code Editor must be the dominant and central element. 2. The Core Panels The screen is divided into three main vertical sections: A. Left Panel: Session & Tools (Collapsible) This panel is generally narrower and houses necessary controls and information. It should be collapsible to maximize editor space. Session Controls (Top): "Share Link" Button: Prominent button to copy the unique session URL. Language Selector: Dropdown menu to choose the programming language (e.g., Python, Java, JS). This selection triggers syntax highlighting and the correct execution environment. Code Template Selector: Dropdown for selecting pre-loaded boilerplate code (e.g., empty function, basic class). Reset Button: Button to clear the editor content (with a confirmation dialog). Participant List: A list showing all connected users with their role (Host/Candidate). Timer/Clock (Optional): A visible timer for time-boxed interviews. B. Center Panel: The Code Editor This is the primary workspace and must occupy the largest area of the screen. Editor Area: Uses a monospaced font for code clarity. Features syntax highlighting based on the selected language. Displays line numbers in the gutter. Includes a small, non-intrusive indicator for the real-time cursors of other users, perhaps showing a small colored dot or the user's initial next to their cursor position. Status Bar (Bottom of Editor): Displays current cursor position (line/column) and the selected programming language. C. Right Panel: Output & Communication (Tabbed) This panel is designed for non-code related activities and feedback. It should utilize a tabbed interface. Output Request: Please generate a detailed Technical Specification Document outlining the Feature Set, User Flow (Host/Candidate), and Proposed Technology Stack for this application. 🔍 Prompt to Validate Assessment & Profile Features Review and Expand on the Plan: Assessment and Profile Management Session Persistence & Playback: Confirm if the plan includes the ability for the Host/Interviewer to save and store the entire session's data (final code, chat transcript, whiteboard contents). Crucially, confirm if the plan includes a "Session Playback" feature. This allows non-present hiring managers to review the entire coding process (step-by-step code writing, execution attempts, and errors) after the interview is over. Interviewer Scorecard/Evaluation: Confirm if the plan includes a dedicated interface or Interviewer Scorecard for the host to submit a subjective evaluation immediately after the session. This scorecard should capture: Ratings on soft skills (Communication, Problem-Solving Approach). Detailed text notes for review by the hiring team. Candidate Profile Management: Confirm if the plan includes a Candidate Profile/History feature on the host's dashboard. This feature must link the interview session's report (code, playback, scorecard) to the candidate's name for easy long-term access and comparison. If any of these features are missing, please integrate them into the existing technical specification immediately. | 1 |
| Create the frontend and backend for a platform for online coding interviews. Please use JavaScript for the frontend and Express.js for the backend. The app should be able to create links and share them with candidates, allow anyone that connects to edit code in the code panel, show real-time updates to all connected users, support syntax highlighting in multiple languages, and execute code safely in the browser. | 1 |
| I’m doing a homework project: build a full-stack online coding interview platform using AI. Please create BOTH frontend and backend for me, with the following requirements: General: - Put everything in the current folder. - Use JavaScript (no TypeScript needed unless you really want to). - Create a clear folder structure, for example: - frontend/ for the React app - backend/ for the Express server - Add a README.md explaining: - how to install dependencies - how to run the dev servers - how to run tests - how to build and run the Docker image later Frontend: - Use React + Vite for the frontend. - The app is an online coding interview room. - Features: - A way to create a new session / link (like “Start new interview”). - A way to join a session by ID or link. - A code editor panel where everyone in the same session sees the same code. - Real-time updates: when one user types, others see it (collaborative editing). - Syntax highlighting for at least JavaScript and Python. - Use a proper code editor library (for example, Monaco Editor, CodeMirror, or similar). - Add UI to choose language (JS or Python) and run code. - For running code: - JavaScript: run safely in the browser. - Python: run in the browser via WebAssembly (for example using Pyodide or another Python→WASM library). - All network calls to the backend should be centralized in a single file or module (like apiClient.js), not scattered everywhere. - Add tests for the frontend (for example using Vitest + Testing Library) that at least check: - main pages render - creating/joining a session works at a basic level - code editor component renders. Backend: - Use Node.js with Express for the backend. - Implement REST endpoints and WebSocket (or Socket.IO) for real-time collaboration: - Create a new interview session (returns a session ID). - Join an existing session. - Broadcast code changes to all clients in the same session in real time. - For now, you can store sessions and code in memory (a simple in-memory store / map). - Add integration tests for the backend using Jest + Supertest (or similar). - Tests should cover: - creating a session - joining a session - a simple WebSocket interaction (if possible) or at least the REST parts. - Expose the backend on some port like 4000. Running both: - Add npm scripts so I can run frontend and backend separately and together: - In the root package.json or a separate script, set up `concurrently` so I can run one command (like `npm run dev`) that starts both frontend and backend. - Clearly document in README how to: - install (npm install) - run dev servers - run tests (frontend + backend). Containerization (for later questions): - Prepare the project so it will be easy to add a Dockerfile later that runs both frontend and backend in one container. Please: 1) Scaffold the folders and files. 2) Show me the important files (like main backend server file, frontend main.jsx, code editor component, WebSocket handling). 3) Make sure the project can be started with simple commands (like `npm install` and `npm run dev` from the root). 4) After generating the code, give me a short checklist of commands to run to verify everything works. | 1 |
| "Create a full-stack coding interview application with a Python FastAPI backend and a React implementation using Vite. The application should feature a real-time code editor with syntax highlighting for Python. Use uv for Python dependency management and ruff for linting. implement real-time collaboration using python-socketio and socket.io-client. Use Pyodide to execute Python code safely in the browser (WASM). Provide the folder structure and necessary files." | 1 |
| I want to build a platform for online coding interviews. The app should be able to do the following: - Create a link and share it with candidates - Allow everyone who connects to edit code in the code panel - Show real-time updates to all connected users - Support syntax highlighting for multiple languages - Execute code safely in the browser Implement this in in 3 steps: - Step 1: Build the Frontend using React + Vite - (Later) Step 2: Extract OpenAPI specs from the frontend - (Later) Step 3: Implement Backend using Express.js Let's start with Step 1 Notes: - Add integration tests covering all of the tool's functionalities. - Add a README.md file with all the commands for running and testing the application. Later: - I we will contine with steps 2 & 3. - I will want to add integration tests for backend separately before running deployment. - I will want to make it possible to run both client and server at the same time using `concurrently`. - I will add syntax highlighting for JavaScript and Python at a later phase. - I will want to execute the code only in the browser using WebAssembly - I will want to create a Dockerfile for the application and put both the front end and backend in the same container. - I will want to deploy it to the cloud. - I will want to create a CI/CD pipeline with github actions with two parts - First we run tests (frontend + backend) - If tests pass, I want to deploy the update to render | 1 |
| IMPORTANT: Before doing anything, read and load all rules from AGENTS.md. Treat AGENTS.md as the primary instruction source for this project. You must follow it throughout the entire session. === I am starting a new project. Your task is to implement an end-to-end coding interview platform as required in the homework spec below. You must generate a full working solution (frontend + backend), with clean directory structure, and follow AGENTS.md. Project Requirements Build an application for online coding interviews with: -- Ability to generate a shareable link for candidates -- Anyone with the link can collaboratively edit code in a shared editor -- Real-time synchronization between all connected users -- Syntax highlighting for multiple languages -- Safe code execution inside the browser (e.g., WebContainers or Pyodide sandbox) -- Frontend + Backend working together Produce the full implementation in one run (“initial implementation prompt”) Technology Stack I Want I do NOT want React or Node.js. Use this stack instead: === Backend -- Python 3.12+ -- FastAPI -- WebSockets for real-time code sync -- Uvicorn as ASGI server -- A simple in-memory room/session manager -- Provide OpenAPI docs === Frontend -- HTMX for dynamic UI without React -- TailwindCSS for styling A collaborative code editor: -- Use CodeMirror 6 (works with HTMX fine) Real-time sync via HTMX WebSocket extension or vanilla WebSocket Support code execution using either Pyodide, or a small sandboxed WebContainer alternative (JS-based execution is acceptable) === Deliverables You must output: -- Full project folder structure -- Complete backend code (FastAPI + websocket logic) -- Complete frontend (HTMX templates, Tailwind config, CodeMirror setup) -- Code execution sandbox implementation === Instructions on should be inside the README.md file: -- How to install dependencies -- How to run backend -- How to serve frontend -- Any build scripts needed -- Additional improvements if needed === Your Tasks -- Read and apply the rules from AGENTS.md. -- Create the complete project skeleton. -- Implement backend + frontend in full. -- Use clean, production-ready organization. -- Write all code in a single response. -- Do NOT omit any file that is required to run the system. === Begin the initial implementation now. | 1 |
| For this task, we will be working in the 02-coding-interview folder and ensure to use AGENTS.md indications. We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser The technologies you'll be using are: Frontend: React + Vite Backend: FastAPI Create them following these steps: 1. Frontend 2. OpenAPI specs (From the frontend) 3. Backend (Based on OpenAPI specs) | 1 |
| I’m doing Homework 2 of the AI Dev Tools Zoomcamp. I need to build an end-to-end web application for online coding interviews with the following requirements: - Users can create a unique link (or room) and share it with candidates. - Everyone who opens the link sees a shared code editor. - All connected users see real-time updates to the code (collaborative editing). - The code editor should support syntax highlighting for at least JavaScript and Python. - Code must be executed safely in the browser: - JavaScript executed on the client side. - Python executed using WebAssembly in the browser (e.g., Pyodide). - The stack I want to use is: - Frontend: React + Vite (JavaScript). - Backend: Node.js with Express and Socket.IO for real-time communication. - Code editor: a React-based editor like @uiw/react-codemirror with language support for JS and Python. - I want a monorepo-style structure: - root folder with: - client/ (React + Vite) - server/ (Express + Socket.IO) - package.json at the root to run both client and server with concurrently. Please: 1. Scaffold the project structure (client and server). 2. Implement the backend: - An Express server with Socket.IO. - Endpoints for creating/joining rooms (or using room IDs in the URL). - Broadcasting code changes to all clients in the same room. 3. Implement the frontend: - React + Vite app. - A home page to create or join a room. - A code editor page that connects to the backend via Socket.IO. - The editor should support syntax highlighting for JavaScript and Python using @uiw/react-codemirror. - Add buttons to run JS code directly in the browser and Python code using WebAssembly (Pyodide or similar). 4. Add basic integration tests to verify that: - The server starts correctly. - WebSocket communication between client and server works (for example, broadcasting code changes). 5. Add an npm script setup so that: - `npm run dev` from the root runs both client and server at the same time using concurrently. 6. Provide a README.md with all the commands to install dependencies, run tests, run the dev server, build, and run the production build. Start by giving me the proposed folder structure, package.json files, and then the implementation step by step. | 1 |
| Build a real-time collaborative coding interview platform with the following features: CORE REQUIREMENTS: - Create shareable session links for coding interviews - Multiple users can join a session and edit code together - Real-time synchronization of code changes across all connected users - Syntax highlighting for multiple languages - Execute code safely in the browser and display output STARTING TECH STACK: - Frontend: React + Vite (JavaScript) - Backend: FastAPI (Python 3.10+) - Package manager: uv for Python dependencies Keep it simple - use in-memory storage for sessions, basic last-write-wins for conflicts, and focus on getting core functionality working first. The app should work locally with backend on port 8000 and frontend on Vite's default port. | 1 |
| Create a real-time collaborative coding interview platform with the following features: Frontend (React + Vite): - Home page with form to create interview session (candidate name, language selection) - Interview page with Monaco code editor - Real-time code synchronization between users - Support for JavaScript and Python syntax highlighting - Code execution panel Backend (Node.js + Express): - REST API to create interview sessions - Socket.IO for real-time collaboration - In-memory storage for active sessions - Support for multiple users in same room Requirements: - Use Socket.IO for WebSocket communication - Use Monaco Editor for code editing - Generate unique room IDs - Broadcast code changes to all connected users - Show participant count | 1 |
| Create an app / a platform for online coding interviews. It should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser Implement it in: Frontend: React + Vite Backend: Express.js | 1 |
| Create a web based application with the following functions: Create a link for a code panel and share it with candidates Allow everyone who connects to edit code in the code panel, each person open the link should create a username for themselves. Usernames can't be the same for people. Once the person leave the session (close the link) the username is released. Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser Show all connected users in a small side panel which can be collapsed and opened. When there is a user editing code, on the bottom of the page shows message like "xxx is typing" Frontend tech stack: React + Vite don't implement backend yet, so everything is mocked. But centralize all the calls to the backend in one place | 1 |
| Needs to create application for live coding interviews. Read CLAUDE.md file with requirements and create roadmap to implement it | 1 |
| We're going to implement a platform for online coding interviews. The app should be able to do the following: - Create a link and share it with candidates - Allow everyone who connects to edit code in the code panel - Show real-time updates to all connected users - Support syntax highlighting for multiple languages - Execute code safely in the browser What are your recommendations for frontend and backend implementation? | 1 |
| Implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser Use the following tech stack Frontend: React + Vite Backend: Python | 1 |
| Build a collaborative coding interview platform with the following requirements: FRONTEND (React + Vite): - Create a shareable link system for coding sessions - Implement a real-time collaborative code editor that allows multiple users to edit simultaneously - Add syntax highlighting support for JavaScript and Python - Include a language selector dropdown - Add code execution functionality that runs safely in the browser (no server-side execution) - Display code output and errors - Show real-time updates to all connected users using WebSockets BACKEND (Express.js): - Create REST API endpoints for session creation and retrieval - Implement WebSocket server using Socket.IO for real-time collaboration - Manage session state (code content, language, connected users) - Handle user connections and disconnections - Synchronize code changes across all connected clients TECHNICAL REQUIREMENTS: - Use Monaco Editor for syntax highlighting - Use Pyodide for Python WASM execution in the browser - Use Socket.IO for WebSocket communication - Ensure all code execution happens client-side for security - Support multiple concurrent sessions Please implement both frontend and backend in one go, with proper project structure separating client and server code. | 1 |
| create a platform for online coding interviews. The app should be able to do the following: - Create a link and share it with candidates - Allow everyone who connects to edit code in the code panel - Show real-time updates to all connected users - Support syntax highlighting for multiple languages - Execute code safely in the browser add mockups for that. don't implement backend, so everything is mocked. But centralize all the calls to the backend in one place create a test file to test the code. put the front end in the folder /frontend Frontend: React + Vite Backend: Express.js Next, create an OpenAPI specs based on what it needs. later we want to implement backend based on these specs. before implementing backend, i want to use uv for backend development. please create agent.md that consist of this command: For backend development, use `uv` for dependency management. Useful Commands # Sync dependencies from lockfile uv sync # Add a new package uv add <PACKAGE-NAME> # Run Python files uv run python <PYTHON-FILE> follow the command in agent.md to create a backend. Finally, based on the OpenAPI specs, create fastapi backend for now use a mock database, which we will later replace with a real one create tests to make sure the implementation works. move the backend code to /backend | 1 |
| (NOTE: first I've asked, taking the info from the homework, one AI chat to generate a good first prompt to what I want to achieve) Build the initial working version of a fullstack app for online coding interviews. This step only creates the backend + frontend; later prompts will add tests, README updates, concurrent execution, extended syntax highlighting, WASM-based code execution (browser only), Docker, and deployment. Requirements: - The result must run end-to-end: backend and frontend start correctly, a session can be created, its link can be shared, and real-time collaborative editing works between two browser windows. - Backend: Node.js + Express + Socket.IO (room creation + real-time code sync). - Frontend: React + TypeScript + Vite + TailwindCSS + Monaco or CodeMirror + socket.io-client. - Project structure: /server and /client. Output expected: - Short architecture overview. - Project file tree. - Full code for all created or modified files. - Commands to install dependencies and run backend and frontend. Restrictions: - No tests yet. - No concurrently yet. - No code execution yet (placeholder button may only console.log). | 1 |
| Build a full-stack web application for online coding interviews. The app should allow users to create and share interview links, support real-time collaborative code editing with syntax highlighting for multiple languages, and enable safe code execution in the browser. Use React + Vite for the frontend and Express.js for the backend. The backend should provide APIs for session management and code execution. The frontend should allow multiple users to edit code together and see live updates. Include integration tests for the main features | 1 |
| "Scaffold a full-stack real-time collaborative coding platform. Stack & Tools: Package Manager: pnpm Frontend: React (Vite) + Tailwind CSS. Backend: Node.js (Express) + Socket.io. Architecture: Monorepo structure with separate client and server folders. Design Requirements: Create a custom futuristic 'Cyber/Dark' aesthetic using Tailwind. Use deep slate/zinc backgrounds (#09090b), glassmorphism effects, and indigo/neon accents. Avoid generic bootstrap styles. The UI should look like a professional IDE. Functional Requirements: Backend (server.js): Set up an HTTP server that initializes Socket.io. Handle connection, join-room, and code-change events. When code is changed, broadcast the update to all other clients in that specific roomId. Frontend: Initialize a React app. Use socket.io-client to connect to the backend. Create a robust bi-directional sync loop: emitting data on keystrokes and updating the local state when receiving code-update events from the server. Routing: Prepare the server to serve the static frontend build files for deployment." | 1 |
| # Role Definition Act as a Principal Full-Stack Software Architect and Engineer. You are an expert in building real-time collaborative applications using React, Express, WebSockets, CRDTs, WebAssembly, and Google Material Design in a simple JavaScript/TypeScript monorepo. # Project Context We are building an MVP for **"The Coding Platform"**, an ephemeral, real-time collaborative coding interview and practice environment. Core capabilities: - A marketing-style landing page with graphics and information about product features. - Entry points to **Create a new session** or **Join an existing session** by ID. - A collaborative coding environment with: - Shared Monaco editor (real-time updates for all connected users). - Client-side code execution (JavaScript, TypeScript, Python via WASM/Workers). - A visible list of currently active users. - An output panel for code results. The first phase is **stateless and ephemeral**: no authentication or database. All code execution is performed in the browser. --- # Tech Stack & Architectural Rules ## Monorepo & Workspaces - Use a **single Git repo** with a simple structure: - `apps/` for deployable applications (frontend and backend). - `packages/` for shared code (types, utilities). - Use **npm workspaces** (or yarn workspaces) from the root `package.json` to manage these packages.[web:40][web:44] ## Frontend (apps/client) - **Framework:** React 18+ with Vite and TypeScript. - **Routing:** `react-router-dom` with: - `/` – Landing page. - `/session/:sessionId` – Coding environment. - **State Management:** Zustand for: - User name. - Session ID. - Selected language. - Code execution output logs. - Active users list. - **UI & Design System:** - **Google Material Design** across all screens. - UI library: `@mui/material` + `@mui/icons-material`. - **Editor:** - `monaco-editor` via `@monaco-editor/react`. - Support JavaScript, TypeScript, Python syntax. - **Real-Time Collaboration:** - CRDT core: `yjs`. - Transport: `y-websocket` (client). - Binding: `y-monaco` to sync Yjs text with Monaco. ## Backend (apps/server) - **Runtime:** Node.js. - **Framework:** Express.js + TypeScript. - **WebSockets:** - `ws` WebSocket server bound to the same HTTP server as Express. - Integrate `y-websocket` `setupWSConnection` to manage Yjs documents per `sessionId`. - **Endpoints:** - `GET /health` – basic health check. - No DB or authentication layer in this phase. ## Code Execution (Client-Side Only) - **Supported languages:** JavaScript, TypeScript, Python. - **Strategy:** - **JavaScript:** - Execute in a Web Worker sandbox. - Capture `console.log` and errors. - **TypeScript:** - Transpile TS → JS in browser (using the `typescript` package or similar). - Execute resulting JS in the same Web Worker. - **Python:** - Load and use Pyodide in the browser. - Capture stdout and stderr from Python execution. - All execution runs **off the main thread** (Web Workers) to keep UI responsive. --- # User Flows & UX ## Landing Page (`/`) - Follow Material Design: - AppBar with product name (**The Coding Platform**). - Hero section with main headline, subheadline, and CTA buttons. - Feature cards or sections that highlight: - Real-time collaboration. - In-browser code execution (JS/TS/Python). - Ephemeral sessions for interviews. - Main actions: - **Create New Session** (primary button). - **Join Existing Session** (secondary button). ### Create New Session - When user clicks **Create New Session**: - Show a Material dialog (or dedicated section) with: - `Name` (required text field). - `Preferred Programming Language` (select: JavaScript, TypeScript, Python). - On submit: - Generate a unique `sessionId` on the client. - Store `name`, `sessionId`, and `language` in Zustand. - Navigate to `/session/:sessionId`. ### Join Existing Session - When user clicks **Join Existing Session**: - Show a dialog with: - `Name` (required). - `Session ID` (required). - On submit: - Store `name` and `sessionId` in Zustand. - Navigate to `/session/:sessionId`. ## Coding Environment (`/session/:sessionId`) Layout should prioritize the editor while showing output and active users in smaller sections. Required parts: 1. **Primary Coding Window** - Monaco editor as the main region. - Real-time collaboration backed by Yjs: - All users see the same document. - Edits propagate live via y-websocket. - Language mode is determined by current language (JS/TS/Python). 2. **Output Panel** - Smaller section (e.g., bottom). - Material card/panel listing: - stdout. - stderr. - system messages (e.g. "Pyodide loaded"). - Styled to distinguish log types by color / icon. 3. **Active Users Panel** - Smaller section (e.g., right-side). - Displays currently active users in the session: - Name. - Optional avatar (initials). - Updated in real time via Yjs awareness or similar presence mechanism. Controls: - **Language Selector:** Material select or segmented control. - **Run Code Button:** Executes current code in the chosen language; appends results to Output Panel. - **Session Info:** - Show `sessionId` and a "Copy link" button. --- # State & Types ## Zustand Store At least: - `user: { name: string }`. - `session: { id: string }`. - `language: "javascript" | "typescript" | "python"`. - `output: Array<{ id: string; type: "stdout" | "stderr" | "system"; message: string; timestamp: number }>`). - `activeUsers: Array<{ id: string; name: string }>`. ## Shared Types (packages/shared) - `Language` union. - `Session` and presence types. - WebSocket/Yjs message contracts if needed. --- # Coding Standards - **React:** - Functional components only. - Use hooks for side effects and state. - **TypeScript:** - Strict mode on. - Avoid `any`; define explicit interfaces and types. - **Hooks:** - `useYjsCollaboration`: - Creates and manages Yjs doc + y-websocket provider. - Handles awareness for active users. - `useCodeRunner`: - Manages Web Worker and Pyodide lifecycle. - Provides `runCode(code, language)` API. - `useSessionState`: - Bridges URL params and Zustand state. - **Design:** - Material Design for all UI: AppBar, Buttons, Dialogs, Panels. - Responsive and accessible components. - **Performance:** - Lazy load Monaco and Pyodide. - Memoize heavy computations and callbacks. - **Error Handling:** - Material Snackbars for: - WebSocket disconnections/reconnections. - Execution errors. - Initialization failures (e.g., Pyodide). --- # Simple Monorepo Folder Structure (No Turborepo, No pnpm) Use `apps/` and `packages/` but manage with **npm workspaces** --- ### Root `package.json` (Conceptual) - Mark repo as `"private": true`. - Define workspaces: - `"apps/*"`, `"packages/*"`. - Add scripts to start client and server from root: - `"dev:client": "npm run dev --workspace apps/client"` - `"dev:server": "npm run dev --workspace apps/server"` - `"dev": "concurrently \"npm run dev:client\" \"npm run dev:server\""` (with `concurrently`). --- # Step-by-Step Implementation Plan 1. **Initialize Monorepo** - Create root `package.json` with npm workspaces for `apps/*` and `packages/*`. - Add root `tsconfig.json` and `.gitignore`. 2. **Shared Package (`packages/shared`)** - Define language, session, presence, and message types. - Export utilities (e.g., `uuid` helper). 3. **Backend (`apps/server`)** - `app.ts`: - Setup Express, JSON middleware, CORS. - Mount `/health` route. - `routes/health.route.ts`: - Implement health endpoint. - `yjsWebsocket.ts`: - Attach `ws` server to HTTP server. - Use `setupWSConnection` with `sessionId` from URL/path. - `index.ts`: - Create HTTP server from Express app. - Initialize WebSocket server. - Listen on configured port. 4. **Frontend (`apps/client`)** - Implement `LandingPage` and `CreateJoinDialogs` with Material Design. - Setup routing for `/` and `/session/:sessionId`. - Implement `SessionLayout`, `CodeEditor`, `OutputPanel`, `ActiveUsersPanel`. 5. **Collaboration & Execution** - `useYjsCollaboration` for Yjs doc/provider + presence. - `useCodeRunner` for JS/TS worker + Pyodide. - Wire "Run Code" and language selector into session view. 6. **Integration Tests** - Integration tests in `apps/server/tests/integration` to: - Spin up server. - Simulate multiple WebSocket clients to verify Yjs synchronization. - Optionally, run headless browser tests (Playwright/Cypress) to validate end-to-end real-time editing and presence. --- # Verification Instructions - **Landing Page:** - Verify Create/Join flows correctly navigate and store state. - **Collaboration:** - Open same session in two browsers. - Confirm real-time code sync and active users list behavior. - **Code Execution:** - Run JavaScript, TypeScript, and Python snippets; verify Output Panel. - **Tests:** - Run integration tests to ensure proper client-server interaction and synchronization in collaborative sessions. | 1 |
| "Create a full-stack application with a React frontend (using Vite) and an Express.js backend. The app should allow real-time collaborative coding using WebSockets (Socket.io). It should have a code editor (Monaco Editor) on the frontend and broadcast changes to all connected clients" | 1 |
| create an online coding interviews in react. that can 1, create a link and share it with candidates 2, Allow everyone who connects to edit code in the code panel 3, Show real-time updates to all connected users 4, Support syntax highlighting for multiple languages 5, Execute code safely in the browser make sure all logic is covered with tests centralize the calls to the backend in one place. backend use either python or express.js | 1 |
| # Real-Time Collaborative Coding Interview PlatformYou are an expert full-stack JavaScript engineer. Build an end-to-end real-time collaborative coding interview platform.## REQUIREMENTS**Core Features:**1. Create shareable links for interview sessions2. Real-time collaborative code editing (multiple users simultaneously)3. Live updates synchronized across all connected users4. Syntax highlighting: JavaScript, Python, Java5. Safe client-side execution: JavaScript (Web Worker/iframe), Python (Pyodide). Java is syntax-only.**Tech Stack:**- Frontend: React + Vite, Socket.IO client, Monaco Editor or CodeMirror, Tailwind CSS (optional)- Backend: Node.js + Express, Socket.IO, in-memory sessions**Architecture:**- Frontend: Create/join sessions, view connected users, real-time editing, switch languages, execute code, view output- Backend: Manage WebSocket connections, track sessions/users, broadcast changes, handle disconnects, cleanup empty sessions- Concurrency: Last-write-wins, broadcast all changes immediately## DELIVERABLESProvide complete working project with:**Structure:**```/client (React+Vite app)/server (Express+Socket.IO)package.json (root)README.md```**Include:**- All source code (no placeholders/TODOs)- All config files (package.json, vite.config.js)- README with setup, run, and build instructions- Error handling for disconnects, invalid sessions, execution errors- Clean UI with loading states and user feedback## OUTPUT REQUIREMENTS- Copy-paste-ready code blocks- No omissions - fully runnable project- Clean, commented code- Professional, responsive UI## SUCCESS CRITERIAMust be able to:1. Create session and share link2. Open link in multiple tabs3. See real-time code changes across tabs4. Execute JS and Python code with output5. Switch language modes (JS/Python/Java)6. Show connected users7. Handle disconnections gracefully**Start implementation now. Provide the complete codebase.** | 1 |
| Read carefully and thoroughly the README.md and the homework.md and understand them well. Ultrathink all the intricacies derived from the project to build as per homework requirements and create a document with all the product requirements, the options that we have to build it, different frameworks, languages, platforms with pros and cons of the different solutions, the most current up to date AI tools available for such project, like mcp servers, sills (type Claude skills), coding agentic frameworks etc. Be comprehensive and use updated information searching on the internet. Also be well structure and order the ideas making a professional and didactic document that allows to take a well informed decission about the way to best start, track and finish the project successfully. Ask as many questions needed to delimit the project goals. | 1 |
| Create a collaborative online coding interview platform with the following features: Frontend (React + Vite): - Create shareable session links - Real-time collaborative code editor - Support for multiple users editing simultaneously - Clean, professional UI Backend (Express.js): - WebSocket server for real-time updates - Session management - Handle multiple concurrent sessions - Broadcast code changes to all connected clients Requirements: - Use WebSockets for real-time communication - Generate unique session IDs - Sync code changes across all connected users - Simple and clean architecture Please provide both frontend and backend code with proper project structure. | 1 |
| Build a front-end app for the online coding interviews platform. The core features required are - 1. Interviewer can create a link and share it with candidates 2. Allow all users who connects to the the code panel to use the editor 3. Show real-time updates to all connected users 4. Support syntax highlighting for multiple languages (supported languages are - python, javascript, rust) 5. Execute code safely in the browser For techstack: - use React + Vite - use mock data - add unit-testing to make sure business logic are correct We will add the backend which is fastapi later. For now, add the required api integration code with dummy data. Now, let's do the backend. 1. Look at the frontend project and generate openapi specs for the backend. 2. Implement postgres as database. 3. Create api endpoints accordingly using the openapi specs created previously. 4. Add the unit test cases. | 1 |
| We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser You can choose any technologies you want. For example: Frontend: React + Vite Backend: Express.js We recommend using JavaScript for frontend, because with other technologies, some of the homework requirements may be difficult to implement. | 1 |
| You are an AI coding agent integrated into my IDE (Google Antigravity). Your job is to help me build, step by step, an end-to-end web application for online coding interviews. Context / requirements (very important): - The app is a collaborative coding interview platform. - It must: - Create a link and let me share it with candidates. - Allow everyone connected to the same link to edit code in a shared code panel. - Show real-time updates to all connected users (like Google Docs for code). - Support multiple languages in the editor (we’ll add syntax highlighting later). - Eventually execute code safely in the browser (we’ll also add this later). - Tech stack to use: - Frontend: React + Vite (JavaScript). - Backend: Node.js + Express. - Real-time communication: Socket.IO (or a similar websocket library). - This is homework for a course; the code should be clean, well-structured, and easy to run locally. - This should contain OpenAPI definition Scope of THIS iteration (initial implementation): - Implement the basic “online interview room” experience: - A simple landing page with a “Create session” button that generates a unique session ID and navigates to `/session/:id`. - A session page with: - A code editor panel (for now, a basic text area or a simple editor component; no syntax highlighting yet). - A language selector (e.g. JavaScript / Python / Other) that just updates state and is shared across clients. - Real-time collaboration: - When any user types in the code editor or changes the language in a given session, all other connected users in that same session see updates in real time. - Implement a minimal backend API: - Endpoint to create a session (returns a random ID). - Socket.IO (or equivalent) setup to handle “join session”, “code change”, and “language change” events. - Do NOT implement syntax highlighting or code execution yet. We will add them in later prompts. - Include basic error handling and logging. Project setup expectations: - Create a monorepo-style structure with: - `/client` for the React + Vite frontend. - `/server` for the Express + Socket.IO backend. - Provide: - All important source files with code (App, main entry points, server.js / index.js, Socket.IO setup, etc.). - `package.json` files for root and each app (if needed), with scripts to: - install dependencies - run the client - run the server What I want from you now: 1. Briefly outline the project structure (folders and main files). 2. Provide the full code for each new file or major changes, clearly labelled with file paths (e.g. `client/src/main.jsx`, `server/index.js`, etc.). 3. At the end, give me: - Exact commands to: - install dependencies - run the backend - run the frontend - Any environment variables I need to set, if applicable. 4. Make reasonable assumptions if something is ambiguous, and state them at the top. 5. Don’t be too terse; include enough comments so I can understand the core logic. Remember: THIS prompt is the “initial implementation” step for my homework. Please now generate everything I need for this first version of the app, without jumping ahead to syntax highlighting, tests, WASM, or Docker. | 1 |
| can you create an end-to-end application using React + Vite for frontend and Express.js for backend that is a platform for online coding interviews. The app should be able to do the following: 1. Create a link and share it with candidates 2. Allow everyone who connects to edit code in the code panel 3. Show real-time updates to all connected users 4. Support syntax highlighting for multiple languages 5. Execute code safely in the browser | 1 |
| I need to build a collaborative coding platform for interviews. Here's what I'm thinking: I want people to be able to create a coding session and share the link with candidates. Then everyone who joins can code together in real-time - kind of like Google Docs but for code. For the frontend, use React with Vite. It should have: - A simple landing page with a button to start a new session - When you click it, generate a unique link they can share - A code editor where multiple people can type at the same time - Everyone sees the changes live as they happen - A dropdown to switch between JavaScript and Python - An execute button to run the code - Some kind of output area to show the results For the backend, use Express and Socket.IO for the real-time stuff. It needs to: - Have an API endpoint to create new sessions (just generate a unique ID with UUID) - Use WebSockets to sync the code between everyone in the same session - Keep track of multiple sessions happening at once - Broadcast changes to everyone in the room Oh, and keep the frontend in a 'client' folder and backend in a 'server' folder. Make sure the package.json files have all the dependencies we need. | 1 |
| "based on the @02-end-to-end/README.md content, can you propose a full spec to complete the homework as requested?" the README contains the homework instructions | 1 |
| We will implement a platform for online coding interviews. The app should be able to do the following: - Create a link and share it with candidates - Allow everyone who connects to edit code in the code panel - Show real-time updates to all connected users - Support syntax highlighting for multiple languages - Execute code safely in the browser Frontend: React + Vite Don't implement backend, so everything is mocked. But centralize all the calls to the backend in one place First create an implementation plan for the project app and put it in a markdown file. | 1 |
| Create a collaborative coding interview platform with the following features: - Frontend: React + Vite application - Backend: Express.js server with WebSocket support - Real-time code collaboration using WebSockets - Support for creating and joining coding sessions via unique session IDs - Code editor with syntax highlighting for JavaScript and Python - Browser-based code execution (Python via WASM, JavaScript natively) - User tracking to show connected users per session Implement both frontend and backend in one go. Use Socket.io for WebSocket communication. Store sessions in memory for now (can be replaced with database later). | 1 |
| lets do the end to end platform to online coding interviews. you should follow and build according the instructions in README.md file and also follow the guidelines from AGENTS.md | 1 |
| Create a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates, Allow everyone who connects to edit code in the code panel, Show real-time updates to all connected users, Support syntax highlighting for multiple languages, Execute code safely in the browser. Use React + Vite for front end and Express.js for backend | 1 |
| @02-coding-interview please think step by step to topup README.md. What instructions can be added to this readme.md file to help windsurf keep referring back to this file for coding instructions / guidelines???? what coding guidelines can be added? @02-coding-interview. pls think step by step the plan to create the solution, then top up the feature implementation order subsection. pls read readme.md inside @02-coding-interview folder. Then think step by step how to implement the code in @02-coding-interview , starting from phase 1. Also is there a way to install things in a separate environment, so it does not mess with my computer? Create a Docker development environment first, then implement the project. | 1 |
| Build a real-time collaborative coding interview platform with a Monorepo structure. Frontend: React + Vite. Backend: Express + Socket.io. Features: 1. Create a link and share it with candidates. 2. Allow everyone who connects to edit code in the code panel (Monaco Editor). 3. Show real-time updates to all connected users. 4. Support syntax highlighting for multiple languages. 5. Execute code safely in the browser (use Piston API initially, later switch to WASM for Python). Please provide the project structure and initial code for client and server. | 1 |
| --- mode: 'agent' description: 'Prompt to finish homework week 2' --- ## Role You're a senior expert software engineer with extensive experience in web development with **JavaScript**. Your role is to assist me to develop a web application with **React + Vite** as frontend and **Express.js** as backend based on specific customer requirements. ## Task 1. Take a deep breath and **review the customer requirements** here: - https://github.com/DataTalksClub/ai-dev-tools-zoomcamp/blob/main/cohorts/2025/02-end-to-end/homework.md 2. Summarize customer's requirements and **describe your action plan** to fulfil these requests to me and **ask for feedback** 3. Take my feedbacks and integrate them into your **action plan**. Iterate this step until you get the **confirmation to execute** ## Output folder Please create a new folder named *week2/homework* and store the whole artifact in that path. | 1 |
| Create a real-time collaborative code interview platform with: Shareable room links Real-time collaborative editing using Yjs Monaco Editor with syntax highlighting In-browser code execution for JavaScript and Python WebSocket server for real-time sync | 1 |
| You are a senior solution architect in software development. You know vibe coding pitfalls, weak points. You know how to address them using well-proven coding practices, frameworks, tests and AI specifics. Create a prompt for cursor plan to complete End-to-End Application Development homework: "In this homework, we'll build an end-to-end application. We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates, Allow everyone who connects to edit code in the code panel, Show real-time updates to all connected users, Support syntax highlighting for multiple languages, Execute code safely in the browser, You can choose any technologies you want. For example:F rontend: React + Vite Backend: Express.js We recommend using JavaScript for frontend, because with other technologies, some of the homework requirements may be difficult to implement. " Implement both frontend and backend - in one prompt. | 1 |
| This project will be using ReactJS + Vite for frontend and Express JS. It is an online coding interview app. The interviewer can create a link and share it with the interviewee. The interviewee can open the link and join the interview. More than 1 user can join using the link. They will all see a shared coding editor which supports multiple languages, enabled with syntax highlighting. Anybody can edit the code and all the changes are live and visible to all those are connected. The code should be executable and runnable, to view the output. Lets first create functional and technical documentation/plan for implementing this project. It shared me the implementation plan asking which library to use for code execution, I chose Piston API and asked to go ahead with the implementation inside the frontend and backend folder I had created . | 1 |
| create a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates, Allow everyone who connects to edit code in the code panel, Show real-time updates to all connected users, Support syntax highlighting for multiple languages, Execute code safely in the browser. separate the backend with express.js into the backend folder and the frontend with React + Vite into frontend folder. | 1 |
| You are a senior full-stack engineer. Build a real-time collaborative code editor web application with instant code execution capabilities. This project should include both the frontend and backend in a single unified specification. Tech stacks: Backend Node.js + Express.js WebSocket server (ws or socket.io — choose the best option) REST API for session creation, retrieval, execution Real-time sync engine Optional in-memory store + optional postgresql Secure sandboxed code execution Serve frontend static files from Express in production Ready for Docker + Render/Cloud Run deployment Frontend React + Vite Monaco Editor or CodeMirror 6 with syntax highlighting WebSocket client for collaborative editing Share session link Execution panel with console output Real-time caret/selection tracking Minimal modern UI | 1 |
| create the platform for online coding interview. the app should be able to do the following: - create a link and share it with candidates - allow everyone who connects to edit code in the code panel - show real-time updates to all connected users - support syntax highlighting for multiple languages - execute code safely in browser | 1 |
| I have a project to do with the following requirements, please generate an initial implmentation and note in the README.md which tasks are completed. ``` In this homework, we'll build an end-to-end application with AI. You can use any tool you want: ChatGPT, Claude, GitHub Copilot, Codex, Cursor, Antigravity, etc. With chat-based applications you will need to copy code back-and-forth, so we recommend that you use an AI assistant in your IDE with agent mode. We will implement a platform for online coding interviews. The app should be able to do the following: - Create a link and share it with candidates - Allow everyone who connects to edit code in the code panel - Show real-time updates to all connected users - Support syntax highlighting for multiple languages - Execute code safely in the browser You can choose any technologies you want. For example: - Frontend: React + Vite - Backend: Express.js We recommend using JavaScript for frontend, because with other technologies, some of the homework requirements may be difficult to implement. But you can experiment with alternatives, such as Streamlit. You don't need to know these technologies for doing this homework. ``` | 1 |
| create Frontend: React + Vite Backend: Express.js platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser | 1 |
| Create a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser You are going to use the following tools: Frontend: Next.js Backend: Express.js Please, implement frontend + backend | 1 |
| Build a real-time collaborative coding interview platform with the following features: - Create shareable links for coding sessions - Real-time collaborative code editing with WebSockets - Syntax highlighting for JavaScript and Python - Code execution in the browser (JavaScript and Python via WASM) - Multi-user support with live synchronization Technology stack: - Frontend: React + Vite - Backend: Express.js - Real-time: Socket.io - Code Editor: Monaco Editor - Code Execution: JavaScript (eval) and Python (Pyodide/WASM) Implement both frontend and backend in one go, including: 1. Express.js server with REST API for session management 2. WebSocket server for real-time collaboration 3. React frontend with Monaco Editor 4. Session creation and joining via shareable links 5. Real-time code synchronization | 1 |
| Build a real-time collaborative coding interview platform with: FRONTEND (React + Vite): - Create a shareable link generation page - Real-time collaborative code editor (like Google Docs but for code) - Syntax highlighting for JavaScript and Python - Code execution panel showing results - WebSocket for real-time sync between users BACKEND (Express.js + Node.js): - REST API for creating interview sessions - WebSocket server for real-time collaboration - Session management (store active sessions) - Broadcast code changes to all connected users FEATURES: - Generate unique session IDs - Allow multiple users to edit same code simultaneously - Show cursor positions of other users - Execute code safely in browser using WASM - Support JavaScript and Python TECH STACK: - Frontend: React, Vite, Socket.io-client - Backend: Express.js, Socket.io, UUID for session IDs - Editor: Monaco Editor or CodeMirror - WASM: Pyodide for Python execution Start with basic implementation including both frontend and backend. | 1 |
| Build a real-time collaborative coding interview platform with the following requirements: Frontend (React + Vite): - Landing page with ability to create a new coding session - Session page with a collaborative code editor - Real-time synchronization of code changes across all connected users - Language selector (JavaScript and Python) - Code execution button - Display of connected users - Share link functionality Backend (Express.js + Socket.IO): - REST API endpoint to create new sessions (POST /api/sessions) - REST API endpoint to get session details (GET /api/sessions/:sessionId) - WebSocket support for real-time collaboration - In-memory session storage - Handle events: join-session, code-change, language-change - Broadcast updates to all connected clients Requirements: - Use React Router for navigation - Use Socket.IO for real-time communication - Store sessions in memory (no database needed) - Generate unique session IDs - Support multiple concurrent sessions - Track connected users per session Please implement both frontend and backend with a clean project structure. | 1 |
| Hello. I wish to implement a platform for online coding interviews as a project for a class I'm taking. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser The instructor says that we can choose any technologies you want (e.g., Frontend: React + Vite; Backend: Express.js). However, he recommends using JavaScript for frontend, because with other technologies, some of the homework requirements may be difficult to implement. | 1 |
| Create a real-time collaborative coding interview platform with the following requirements: FRONTEND (React + Vite): - A home page where users can create a new interview session - A session page with a code editor that supports real-time collaboration - Integration with Socket.IO for real-time updates - Support for sharing session links - Monaco Editor for code editing with syntax highlighting BACKEND (Express.js + Socket.IO): - REST API endpoint to create new sessions (POST /api/session) - REST API endpoint to get session info (GET /api/session/:id) - WebSocket server for real-time communication - Handle multiple users joining the same session - Broadcast code changes to all connected users - Track connected users per session FEATURES: - Create shareable session links with unique IDs - Real-time code synchronization between all users - Support for multiple programming languages (JavaScript, Python) - User count display - Clean, modern UI Use: - Frontend: React 18 + Vite + Monaco Editor + Socket.IO Client - Backend: Express.js + Socket.IO + UUID for session IDs - Real-time communication via WebSockets | 1 |
| STEP 1 Create a frontend UI for a real-time collaborative coding interview platform. # Features (Frontend Only, Backend Mocked) - Page to create a new interview session (mock the session creation) - Page for joining a session via URL - Collaborative code editor panel - Mocked real-time updates (simulate WebSocket events) - Syntax highlighting for JavaScript and Python - Execute button with mocked output (for now) - Show a mock list of connected users ("presence") - Clean UI with React + Vite + TypeScript # Critical Requirements - DO NOT implement a real backend. - DO NOT create real WebSocket connections. - All API and WebSocket interactions MUST be mocked. - Centralize all mocked API and WebSocket calls in a single file (e.g., src/api/mockApi.ts). - Include unit tests (Vitest + React Testing Library). # Project Structure - Keep frontend self-contained and ready for later integration. - Use components and hooks cleanly. - Use a single state management strategy (React Context or Zustand). # Goal Produce a clean, working, testable UI with fully mocked behavior that I can later connect to a real Express.js + WebSocket backend. STEP 2 # openAPI specificationgeneration - Based on the React frontend and its src/api/mockApi.ts file, generate a complete OpenAPI 3.1 specification for the real backend. - Extract all endpoints, request bodies, response bodies, and error cases directly from the mockApi design. - Output a single OpenAPI YAML file with info, servers, paths, and components. STEP 3 # Create the backend Using the OpenAPI file at openapi/openapi.yaml and the behaviors defined in frontend/src/api/mockApi.ts, create a real backend in Express.js with: - routes per tag - TypeScript support - controllers for each endpoint - in-memory stores identical to mockApi behavior - WebSocket server for collaborative code updates - validation generated from the OpenAPI schemas - a clean folder structure: /routes /controllers /services /models /ws - basic integration tests (Vitest + Supertest) covering the main REST flows defined in the OpenAPI spec Do NOT invent new endpoints. Do NOT modify the OpenAPI spec. | 1 |
| I want to create a platform for online coding interview create both frontend and backend with openapi specs Start by setting up venv for the current folder and use the following AGENTS.md file for guidelines: for backend, use uv for dependency management. a few useful commands: uv sync uv add uv run python regularly commit code to git | 1 |
| You are an expert full‑stack JavaScript engineer. Build a small end‑to‑end coding interview platform with a React + Vite frontend and an Express + Socket.io backend. Requirements: Users can create a session link and share it with candidates. Everyone who opens the link joins the same room and can collaboratively edit code in real time. Use WebSockets (Socket.io) so all connected users see code updates instantly. The editor must support syntax highlighting for at least JavaScript and Python. Execute code safely in the browser: run JavaScript directly and run Python via WebAssembly in the client (do NOT execute arbitrary code on the server). Organize the project with a server folder for the backend and a client folder for the frontend. Add integration tests that verify client‑server interaction (HTTP + WebSocket). Provide npm scripts for dev, test, and build, and a README explaining how to run and test everything. Finally, create a Dockerfile that runs both frontend and backend in a single container. | 1 |
| Build a complete web application for online coding interviews in the 02-coding-interviews directory with: Frontend (React + Vite): A home page to create a new interview session A session page with a collaborative code editor Real-time synchronization between all connected users Backend (Express.js): REST API to create/join sessions WebSocket (Socket.io) for real-time code synchronization Generate unique shareable URLs for each session Features: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support for multiple programming languages Project structure: monorepo with /client and /server folders | 1 |
| create the snake game with two models: pass-through and walls. prepare to make it multiplayers - we will have this functionality: leaderboard and watching (me following other players that currently play). add mockups for that and also for log in. everything should be interactive - I can log in, sign up, see my username when I'm logged in, see leaderboard, see other people play (in this case just implement some playing logic yourself as if somebody is playing) make sure that all the logic is covered with tests don't implement backend, so everything is mocked. But centralize all the calls to the backend in one place | 1 |
| Ask ChatGpt to help me to define prompt: Prompt for Lovable: You are an expert full-stack JavaScript developer. Please create a complete web application (frontend + backend in one project) for online coding interviews with the following requirements: Tech stack Frontend: JavaScript, React, and a modern bundler (e.g., Vite or Create React App) Backend: Node.js with Express (or similar) plus WebSockets (e.g., Socket.IO) for real-time updates Package manager: npm Styling: simple, clean UI (you can use CSS or Tailwind) Core features Create and share interview links A simple home page where the interviewer can click a button like “Create Interview Room”. Generate a unique URL (room ID) for each interview. Display that link so it can be copied and shared with candidates. Anyone who opens that URL joins the same interview room. Collaborative code editor In each room, show a shared code editor panel. Everyone in that room (interviewer & candidate) can edit the code. All edits should be synchronized in real time for all connected users in that room. Use a proper code editor component (e.g., Monaco Editor or CodeMirror). Real-time updates Use WebSockets to broadcast code changes and cursor/selection positions to all connected clients in the same room. Handle users joining/leaving gracefully. Syntax highlighting for multiple languages Support at least: JavaScript, Python, and Java. Provide a dropdown to select the language. The editor should change syntax highlighting based on the selected language. Safe in-browser code execution Provide a “Run Code” button. Execute the code safely in the browser (no server-side execution) using a sandboxed approach (e.g., a Web Worker or an iframe) so that it cannot access the page or network directly. Show console output (stdout, errors) in a separate output panel below the editor. It’s okay if execution is limited to JavaScript; for other languages, you can simulate execution or show a message explaining limitations. Project structure & tooling Organize the project in a single repository with frontend and backend folders or a monorepo structure. Include: README.md with clear instructions: how to install dependencies, how to run backend, how to run frontend, and how to run both together. Example .env.example if environment variables are needed. Add basic error handling and simple UI messages for: invalid room IDs lost WebSocket connections Deliverables All necessary source code for frontend and backend. Entry commands like: npm install / npm run dev for frontend npm install / npm run dev for backend A short explanation in the README of how the real-time collaboration works (high level). Please implement the full app according to these specs and generate all relevant files. | 1 |
| I want to build a small end-to-end web application for online coding interviews. Requirements: - The app should allow me to create a unique session/room link and share it with candidates. - Everyone who opens the same room link should see and edit the same code in real time. - All connected users should see live updates as others type. - The code editor should support syntax highlighting for at least JavaScript and Python. - The app should allow executing code safely in the browser: - JavaScript can be executed in a sandboxed way. - Python should be executed via WebAssembly (e.g. using Pyodide or similar) in the browser, not on the server. Tech stack (please follow this unless there is a strong reason not to): - Frontend: React + Vite - Backend: Node.js + Express - Real-time collaboration: WebSockets (e.g. socket.io) - Syntax highlighting: any suitable React library - Python execution in browser: WebAssembly-based solution (e.g. pyodide) Project structure: - Create a single repository with two main folders: `client` (frontend) and `server` (backend). - The backend should expose a simple REST API and WebSocket endpoints for: - creating a new interview session (room) - joining an existing session - syncing the code content between all connected clients - The frontend should: - have a landing page with a button “Create interview session” - generate and show a shareable URL for the session - have a code editor page for a session, with: - language selector (JavaScript / Python) - code editor with syntax highlighting - “Run code” button and output panel - Implement integration between client and server so that joining the same session ID results in a shared code editor. Testing: - Set up integration tests to verify that the interaction between client and server works: - starting the server - creating a room via API - connecting via WebSocket - broadcasting code changes to all connected clients - Use Jest + Supertest (or another reasonable testing stack) for backend tests. - Also prepare a basic README.md with: - how to install dependencies - how to run the app in development mode - how to run tests Additionally: - Add npm scripts and a root-level setup that will later allow us to: - run both client and server at the same time using `concurrently` - containerize the app with a single Dockerfile (client + server in one container) Please: 1. Scaffold the folder structure. 2. Provide package.json files for root, client, and server. 3. Implement minimal but working versions of all components (frontend, backend, tests). 4. Show all relevant code files in your response. | 1 |
| Please build an end-to-end coding interview platform with both frontend and backend in this folder. Requirements: - Frontend: React + Vite in a client folder - Backend: Node + Express in a server folder - Real-time collaborative editor using WebSockets (e.g. Socket.IO) so multiple users see the same code live - Users can create a session link (e.g. /session/:id) and share it with candidates - Everyone connected to the same session sees real-time updates in the code panel - Support syntax highlighting for multiple languages (JavaScript and Python at minimum) - Execute code safely in the browser (JS directly, Python later via WASM) - Expose a simple REST or WebSocket API so the client can sync code and session state - Create minimal README.md with instructions to install, run client/server, and where to add tests later. Please: - Create client and server subfolders - Initialize package.json scripts for each Give me all terminal commands I need to run, in order. | 1 |
| You are an expert full-stack JavaScript engineer. Build a real-time collaborative coding interview platform as a single project with: Frontend: React + Vite Backend: Node.js + Express Real-time collaboration: Socket.IO Shared editor: a code panel where multiple users can edit the same file at the same time Features: Create a unique session link and share it with candidates Anyone with the link can join and edit the code All connected users see live updates in real time Syntax highlighting for at least JavaScript and Python Execute code safely in the browser (no server-side execution) using a WASM-based Python runtime for Python and eval sandboxed in the browser for JavaScript The backend should expose REST endpoints for: Creating a new interview session Joining an existing session Persisting the current code for a session in memory for now The backend should also expose WebSocket events (via Socket.IO) for: Joining a room by session ID Broadcasting code changes to all connected clients in that room Put frontend and backend in one repo: /client – React + Vite app /server – Express + Socket.IO app Add integration tests that start the server and verify the client can: Create a session Join the session Receive real-time updates when another “user” changes the code Create a README.md with all commands for: Installing dependencies Running the dev servers Running tests Building and running the production build Use npm for everything and configure scripts in the root package.json where possible. Start by scaffolding the folder structure and the initial working version (client + server + Socket.IO + simple shared editor), then we will iterate on tests, syntax highlighting, WASM Python execution and Docker. | 1 |
| Implement a platform for online coding interviews. The app should be able to do the following: - Create a link and share it with candidates - Allow everyone who connects to edit code in the code panel - Show real-time updates to all connected users - Support syntax highlighting for multiple languages - Execute code safely in the browser - You can choose any technologies you want. For example: Frontend: Vue3 Backend: FastAPI let's do it originally from docker environment Also I need to have openapi.yaml (api specification, and both frontend and backend should follow it) | 1 |
| We want to build an online coding interview platform - a web application that allows interviewers and candidates to collaborate on coding problems in real-time during technical interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser Main Functions Session Creation & Sharing: Generate unique interview session links that can be shared with candidates Real-time Collaboration: Multiple users can edit code simultaneously with live updates across all connected clients Syntax Highlighting: Support for multiple programming languages (JavaScript, Python) with proper code formatting Code Execution: Run code safely in the browser without server-side execution Multi-language Support: Handle different programming languages for coding challenges, include javascript and python Core Components Frontend: Code editor component WebSocket client for real-time synchronization Syntax highlighter integration WASM runtime for code execution UI for creating/joining sessions Backend: WebSocket server for managing connections and broadcasting updates Session management (creating unique links, tracking active sessions) API endpoints for session creation and metadata Real-time message routing to connected clients The platform essentially replicates tools like CoderPad or HackerRank's interview environment, where both interviewer and candidate can see and edit code together in real-time, similar to Google Docs but for code. It will have docker containerization and deployment and will commit the code to github. Commit your code at every step. You can create an AGENTS.md file with the instructions for AI to help you with git commands. For easiest development, compatibility, and minimal bugs, I recommend this stack: Frontend: React (with Vite for fast dev/build) CodeMirror or Monaco Editor (for code editing and syntax highlighting) Socket.io-client (for real-time updates) Pyodide (WASM Python execution in browser) JavaScript Backend: Node.js with Express.js (REST API) Socket.io (WebSocket server for real-time collaboration) JavaScript Build an end-to-end to app with the requirements above. Start a README.md which will contain the main usage instruction based on what you build and keep information files on deployment installation etc. Use clear directory structure with different folders for client and server and subfolders for each component of the app. Create new local environments starting in the current directory in terminal. Start with front end | 1 |
| We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser. front:javascript backend:express.js | 1 |
| Build an end-to-end application for online coding interviews. The platform should allow users to create a unique link for each interview session, share it with candidates, and collaborate in real time inside a shared code editor. Please implement both the frontend and backend in one response. Requirements: • Generate a sharable session link. • Allow all connected users to collaboratively edit code in a shared editor. • Display real-time updates to all participants. • Support syntax highlighting for JavaScript and Python. • Execute code safely in the browser using WebAssembly (no server-side execution). Implementation Details: • Frontend: React + Vite • Backend: Express.js • Use Socket.io (or a similar real-time solution) for live collaboration. • Use Monaco Editor or CodeMirror for syntax highlighting. • Integrate a WebAssembly-based Python runtime (e.g., Pyodide) for client-side code execution. Deliverables: • Complete frontend structure (components, pages, hooks). • Complete backend implementation (routes, WebSocket server). • Instructions for installing dependencies and running both apps. • Any additional configuration files required for a working setup. Please generate clean, complete, ready-to-run code for both the client and the server. | 1 |
| I'd like to mplement a platform for online coding interviews. Rember my tech stack, frontend: react+vite+js, backend: nodejs+express. The app should be able to do the following: 1. Create a link and share it with candidates 2. Allow everyone who connects to edit code in the code panel 3. Show real-time updates to all connected users 4. Support syntax highlighting for multiple languages 5. Execute code safely in the browser . I want to do it step by step, first, let's build the frontend. Don't do it, guide me to do it step by step. Now. I will implement backend. could you guide me step by step? Don't implement the changes. | 1 |
| The first prompt had goal to produce spec. I have a task to create an app like this: """ The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser You can choose any technologies you want. Note: you can create it in 3 steps: * Frontend * OpenAPI specs * Backend """ First, what technologies would you suggest and what is the optimal app structure? Then this file was generated and was used for development: # Collaborative Code Editor Architecture Great challenge! It's essentially a simplified CoderPad/HackerRank. Here are my recommendations: ## Tech Stack ### Frontend | Component | Technology | Why | |----|----|----| | Framework | React + TypeScript | Reliable, good ecosystem | | Code Editor | Monaco Editor | It's a VS Code editor, excellent highlighting for 50+ languages | | Real-time sync | Yjs + y-websocket | CRDT library, automatically resolves conflicts | | Styling | Tailwind CSS | Fast and beautiful | | Code Execution | Pyodide (Python), QuickJS (JS) | Browser-safe via WASM | ### Backend | Component | Technology | Why | |----|----|----| | Framework | FastAPI (Python) | Async, OpenAPI autogeneration, WebSocket out of the box | | WebSocket | y-websocket or custom | For YJS synchronization | | Storage | Redis or in-memory dict | Session storage (dict is sufficient for MVPs) | | Session IDs | nanoid or uuid | Unique URL generation | ## Project Structure ``` collaborative-editor/ ├── frontend/ │ ├── src/ │ │ ├── components/ │ │ │ ├── CodeEditor.tsx # Monaco + Yjs binding │ │ │ ├── LanguageSelector.tsx │ │ │ ├── OutputPanel.tsx # Execution Result │ │ │ └── ShareButton.tsx │ │ ├── hooks/ │ │ │ ├── useYjs.ts # Yjs connection hook │ │ │ └── useCodeExecution.ts # WASM runners │ │ ├── lib/ │ │ │ └── executors/ # Pyodide, QuickJS wrappers │ │ └── App.tsx │ └── package.json │ ├── backend/ │ ├── app/ │ │ ├── main.py # FastAPI app │ │ ├── routers/ │ │ │ ├── sessions.py # POST /sessions, GET /sessions/{id} │ │ │ └── websocket.py # WebSocket endpoint │ │ ├── models/ │ │ │ └── session.py # Pydantic models │ │ └── services/ │ │ └── yjs_sync.py # Yjs document sync logic │ └── requirements.txt │ ├── openapi/ │ └── spec.yaml # OpenAPI 3.0 specification │ └── docker-compose.yml # For Local Development ``` ## Key Architectural Decisions 1. Real-time Synchronization — Why Yjs? ``` User A types "hello" ──→ Yjs CRDT ──→ WebSocket ──→ Server │ User B sees "hello" ←── Yjs CRDT ←── WebSocket ←──────┘ Yjs is a CRDT (Conflict-Free Replicated Data Type). It automatically merges changes without conflicts, even over a poor connection. ``` 2. Safe Code Execution in the Browser ``` ┌──────────────────────────────────────────┐ │ Browser (WASM) │ │ ┌───────────┐ ┌─────────────────┐ │ │ │ Pyodide │ │ QuickJS/eval │ │ │ │ (Python)│ │ (JavaScript) │ │ │ └─────────┘ └─────────────────┘ │ └─────────────────────────────────────┘ ``` ### For MVPs - run in the browser via WebAssembly. Safe, doesn't overload the server. 3. Session Creation Flow 1. POST /api/sessions → { id: "abc123", url: ".../?session=abc123" } 2. User opens URL → Frontend connects to WebSocket 3. WebSocket syncs Yjs document between all participants ### API Endpoints (Preview) ``` yamlPOST /api/sessions # Create a new session GET /api/sessions/{id} # Get session information WS /ws/{session_id} # WebSocket for real-time sync ``` | 1 |
| # Coding Interview Platform - Build Instructions ## Project Overview Build a real-time collaborative coding interview platform with the following features: - Create shareable session links for candidates - Real-time collaborative code editing (all users see changes instantly) - Syntax highlighting for JavaScript and Python - Safe code execution in the browser using WASM - Containerized deployment ## Tech Stack - **Frontend**: React + Vite - **Backend**: Express.js with Socket.io for real-time communication - **Code Execution**: Pyodide (Python WASM) for browser-based execution - **Syntax Highlighting**: CodeMirror or Monaco Editor --- ## Step 1: Initial Implementation Create the full-stack application structure: ### Backend (Express.js + Socket.io) Create a `server/` directory with: - Express server on port 3001 - Socket.io for real-time code synchronization - REST endpoint to create new coding sessions (generates unique session IDs) - WebSocket handlers for: - Joining a session room - Broadcasting code changes to all users in the room - Syncing cursor positions (optional) ### Frontend (React + Vite) Create a `client/` directory with: - Vite + React setup - Home page to create new sessions - Session page (`/session/:id`) with: - Code editor component - Language selector (JavaScript/Python) - Run button for code execution - Output panel for execution results - Socket.io client for real-time updates ### Root package.json Create a root `package.json` with workspaces for client and server. After creating, commit with message: "feat: initial implementation of coding interview platform" --- ## Step 2: Integration Tests Create integration tests in `server/tests/` that verify: - Creating a new session returns a valid session ID - WebSocket connection to a session works - Code changes broadcast to all connected clients - Multiple clients in the same session receive updates Use Jest and supertest for HTTP tests, and socket.io-client for WebSocket tests. Create/update `README.md` with: - Project description - Installation instructions (`npm install`) - How to run tests (`npm test`) - How to start development servers Commit with message: "test: add integration tests for client-server interaction" --- ## Step 3: Concurrent Development Server Update root `package.json` to use `concurrently` for running both client and server: ```json { "scripts": { "dev": "concurrently \"npm run dev:server\" \"npm run dev:client\"", "dev:server": "npm run dev --workspace=server", "dev:client": "npm run dev --workspace=client" } } ``` Install concurrently as a dev dependency. Update README.md with the `npm run dev` command. Commit with message: "feat: add concurrent dev server script" --- ## Step 4: Syntax Highlighting Integrate a code editor with syntax highlighting: - Use **CodeMirror 6** or **Monaco Editor** (prefer CodeMirror for lighter weight) - Support JavaScript and Python syntax highlighting - Add language selector dropdown that switches the editor mode Commit with message: "feat: add syntax highlighting with CodeMirror" --- ## Step 5: Code Execution with WASM Add browser-based code execution: - For **Python**: Use **Pyodide** (Python compiled to WebAssembly) - For **JavaScript**: Use the browser's built-in `eval()` or `Function()` constructor (sandboxed) - Display output in a results panel below the editor - Handle errors gracefully and display them to the user Note: All execution happens in the browser - no server-side code execution for security. Commit with message: "feat: add WASM-based code execution with Pyodide" --- ## Step 6: Containerization Create a `Dockerfile` in the project root: - Use **node:20-alpine** (or similar) as base image - Multi-stage build: 1. Build stage: Install dependencies and build the frontend 2. Production stage: Copy built frontend and server, run Express - The Express server should serve the built frontend static files - Expose port 3001 Create `.dockerignore` to exclude node_modules, etc. Add to README.md: - Docker build command: `docker build -t coding-interview .` - Docker run command: `docker run -p 3001:3001 coding-interview` Commit with message: "feat: add Dockerfile for containerization" --- ## Step 7: Deployment Preparation Prepare for deployment to a cloud service (Railway, Render, Fly.io, or similar): - Ensure the app reads PORT from environment variables - Add a `start` script for production - Update README.md with deployment instructions Commit with message: "feat: prepare for cloud deployment" --- ## Git Workflow After each major step, commit your changes: ```bash git add . git commit -m "<commit message>" ``` At the end, push to GitHub: ```bash git push origin main ``` --- ## File Structure Expected ``` coding-interview/ ├── client/ │ ├── src/ │ │ ├── components/ │ │ │ ├── CodeEditor.jsx │ │ │ ├── OutputPanel.jsx │ │ │ └── LanguageSelector.jsx │ │ ├── pages/ │ │ │ ├── Home.jsx │ │ │ └── Session.jsx │ │ ├── App.jsx │ │ └── main.jsx │ ├── package.json │ └── vite.config.js ├── server/ │ ├── tests/ │ │ └── integration.test.js │ ├── index.js │ └── package.json ├── Dockerfile ├── .dockerignore ├── package.json ├── README.md └── AGENTS.md ``` | 1 |
| implement a platform for online coding interviews that both interviewers and interviewee can view every changes real time. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser You can choose any technologies you want. First create a Front end using React and other necessary tools | 1 |
| Build an end-to-end AI/dev-tools web app with: Frontend UI for writing and running Python code Syntax highlighting of Python code Backend API serving requests Python running in the browser via WebAssembly (Pyodide) Containerization and deployment | 1 |
| We will implement a platform for online coding interviews. The app should be able to do the following: - Create a link and share it with candidates - Allow everyone who connects to edit code in the code panel - Show real-time updates to all connected users - Support syntax highlighting for multiple languages - Execute code safely in the browser. For security reasons, we don't want to execute code directly on the server. Instead, let's use WASM to execute the code only in the browser. Let's assume we support JavaScript, Python, C#, Go and Java. AND SQL (Postgres, without execution of course) Use React plus TypeScript for FrontEnd and FAST API for BE (but if you think that there is some technology that is more appropriate for that task let me know) The code for app should include tests, both for FE, BE, and integration tests. As a first step create - implementation plan as separate md file. - OpenAPI specification | 1 |
| Create an interactive Tic-Tac-Toe web app with two modes (classic 3×3 and toroidal wraparound), full login/signup flow, visible username when logged in, a leaderboard, multiplayer support, and a spectating mode where users can watch ongoing games (simulated with mocked playing logic). Provide simple mockups for login, lobby, game, and spectator views. All backend interactions must be fully mocked and centralized in one service/module. Include comprehensive tests covering game logic, API mocks, and UI flows. | 1 |
| Por favor genera un proyecto completo "coding-interview" con frontend y backend: - Frontend: React + Vite (JS), que implemente: - Página principal que permite crear una sesión (genera un link único). - Página de sesión que incluye un editor de código (Monaco Editor) + panel de salida. - Edición colaborativa en tiempo real: cuando varios usuarios abran el mismo link, verán los cambios en tiempo real. - Resaltado de sintaxis para JavaScript y Python. - Ejecución de código Python en el navegador usando Pyodide (WASM). El código JS debe ejecutarse localmente en el navegador (eval sandboxed). - Cliente WebSocket que se conecta al backend para sincronizar el buffer de código y los cursores. - README con instrucciones para instalar y ejecutar. - Backend: Node.js + Express con WebSockets (ws) - Endpoints REST mínimos: crear sesión (POST /api/session -> id), obtener info de sesión. - WebSocket server que maneja: join(sessionId, clientId), broadcast code updates, cursors, and presence. - Integración con CORS para desarrollo. - Tests: Jest + supertest integration tests that simulate opening a session and broadcasting updates between fake ws clients. - package.json scripts: "client", "server", "dev" (usando concurrently to run both), "test". - Containerization: - Dockerfile multi-stage: build frontend, build backend. Use node:18-bullseye as build base; use nginx to serve static frontend in prod and node to run backend. - Provide project structure, key files (server/index.js, server/package.json, client/src/main.jsx, client/src/App.jsx, client/src/Editor.jsx), and example tests. Generate full code files for all the important parts and a final README that explains how to: - install deps - run locally (dev) - run tests - build docker and run container Make sure the code is production-ready and includes comments in English. Provide short explanation (ES + EN) for each file you generate. Thank you. | 1 |
| Build a collaborative coding interview platform with the following features: - Create shareable links for coding sessions - Real-time collaborative code editing using WebSockets - Syntax highlighting for JavaScript and Python - Safe code execution in the browser (using WASM for Python) - Frontend: React + Vite - Backend: Express.js with Socket.io Implement both frontend and backend in one go. | 1 |
| We will implement a platform for online coding interviews. Design should be like proffesional consulting company with the highet reputation. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser implement both frontend and backend. It should be a django project, frontend in javascript, database is postgres. analyse the content of the client and create an OpenAPI specs based on what it needs, it should be used by backend. based on the OpenAPI specs, create fastapi backend for now use a mock database, which we will later replace with a real one, create tests to make sure the implementation works. Make frontend use backend. | 1 |
| Build a React app with Monaco Editor + Firebase Firestore realtime sync that allows multiple users to edit code simultaneously, share a room link, choose a language for syntax highlighting, and run code safely client-side using WebContainers or Pyodide. Include a “Create room,” “Copy link,” code panel, and output console. Deliver working MVP. | 1 |
| Buid an application for online coding interviews - Create the frontend using React + Vite - Create the backend using Express.js This is the functionality needed in the app: - The coding interviews will be only in JS or Python - Create a link and share it with candidates - Allow everyone who connects to edit code in the code panel - Show real-time updates to all connected users - Support syntax highlighting for multiple languages - Execute code safely in the browser | 1 |
| implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser Implement both frontend and backend. For frontend use Frontend: React + Vite, for backend - Express.js. Also implement tests | 1 |
| Create in the repository folder with name "02-coding-interview", and inside this folder there will be completely new separate project which I want you also to create in a professional, most appropriate way: "implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser You can choose any technologies you want. For example: " Create appropriate readme file with task description, run server and clients, tests and all other important information. | 1 |
| We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser You can choose any technologies you want. For example: Frontend: React + Vite Backend: Express.js We recommend using JavaScript for frontend, because with other technologies, some of the homework requirements may be difficult to implement. But you can experiment with alternatives, such as Streamlit. Question 1: Initial Implementation Ask AI to implement both frontend and backend - in one prompt. Note: you can also follow the same path as in the videos and make it in 3 steps: Frontend OpenAPI specs Backend | 1 |
| Crate the frontend code using react+vite with javascript for a coding tests plataform Frontend: User authentication Dashboard - candidate dashboard - Coding enviroment - Code editor (e.g., Monaco Editor or Ace Editor) to write code in multiple languages. - Auto-save functionality (e.g., save code every 30 seconds). - Output display panel for runtime results or errors. - Timer to track the candidate’s time while solving problems. - Optional features: Syntax highlighting, error highlighting, input/output formatting. For the backend create templates django Backend: - "users" model - "codetests" models - test - testcase | 1 |
| Context & Persona: Act as a Senior Full Stack Software Architect. We are building an MVP for an "Online Coding Interview Platform". The goal is to create a collaborative environment where an interviewer can share a link with a candidate, and both can write and run code in real-time. Technical Stack: Frontend: React (Vite), TailwindCSS for styling, monaco-editor (VS Code editor) for the code panel. Backend: Node.js with Express. Real-time Communication: Socket.io (crucial for syncing code changes across users). Execution: The code must be executed safely in the browser (client-side). For this MVP, support JavaScript execution using a sandboxed approach (e.g., catching console logs from a Web Worker or new Function) to avoid backend security risks. API Documentation: OpenAPI 3.0 (Swagger). Functional Requirements: Session Management: The system must generate unique room IDs (e.g., /room/uuid). Anyone with the link joins that specific coding session. Collaborative Editing: When User A types, User B sees the changes immediately via Socket.io events. Syntax Highlighting: The editor must support syntax highlighting (configure Monaco for Javascript/Python). Code Execution: A "Run" button that captures the code from the editor, executes it safely in the browser context, and displays the output (logs/errors) in a terminal window below the editor. Deliverables (Response Format): Please provide the complete implementation in a single response following this structure: Project Structure: A file tree overview. Backend Implementation: server.js: Express setup, Socket.io logic for room joining and code broadcasting. openapi.yaml: The OpenAPI 3.0 specification document describing the HTTP endpoints (e.g., health check, room creation). Frontend Implementation: App.jsx: Main routing logic (Room creation vs. Room view). CodeEditor.jsx: The Monaco editor component integrated with Socket.io client. Terminal.jsx: Component to display code execution output. Execution Logic: Explain briefly how the client-side execution is handled safely. Setup Instructions: npm install commands to get this running locally. Important Constraint: Ensure all code provided is functional, imports are correct, and the WebSocket logic handles the "broadcast" correctly so loops are avoided (i.e., don't re-broadcast a change back to the sender). | 1 |
| Create an interactive web app (no real backend — all network interactions mocked and centralized through a single api module) that implements a platform for online coding interviews with these features: generate a shareable interview link and create/join interview sessions; a collaborative code panel where everyone who connects can edit the same document with real-time updates broadcast to all connected users (simulate other participants with mocked play/typing logic so the UI shows live activity); support syntax highlighting and language selection for multiple languages; a safe in-browser code execution environment (sandboxed iframe or WebWorker-based executor) that runs user code and displays stdout/stderr and test results without any server execution; session UI including a problem/description panel, participant list, chat, run button, and ability to follow/observe any participant’s cursor and edits (mocked spectator behavior); authentication flows with interactive sign up / log in mockups showing username when logged in; a session lobby and basic permissions (host vs. participant) simulated in the front end; a leaderboard-style view that can display aggregated performance metrics (fully mocked) and a “watching” view to spectate a live interview; all calls to the backend are routed through one centralized module so replacing mocks with a real API later is straightforward; comprehensive unit and integration tests that cover collaborative editing logic, session lifecycle (create/join/leave), link generation, authentication UI state, language selection, sandboxed execution safety, and mocked real-time updates; and polished interactive mockups/screens for login, session lobby, collaborative editor, run/output panel, and spectator views. | 1 |
| Core Features: Session Creation: Generate shareable links for coding sessions Real-time Collaborative Code Editor: Multiple users can edit simultaneously with live updates Syntax Highlighting: Support for JavaScript and Python Code Execution: Execute code safely in the browser (client-side only, using WASM for Python) Multi-user Presence: Show who's currently in the session Design Requirements: Style: Hacker-centric brutalist/neobrutalist aesthetic targeting younger developers Design System: Create a cohesive design system with: Bold, raw typography (use monospace fonts like JetBrains Mono or Fira Code) High contrast color scheme with vibrant accent colors Minimal rounded corners, stark borders Terminal/console-inspired UI elements Dark mode by default with neon/cyberpunk accents Responsive: Fully functional on mobile and desktop Micro-interactions: Smooth animations for code execution, user joins, etc. Technical Stack: Framework: React + Vite Code Editor: Monaco Editor or CodeMirror for syntax highlighting Real-time: WebSocket connection for live collaboration Code Execution: Pyodide for Python WASM, native eval for JavaScript Styling: Vanilla CSS with a brutalist design system Key Pages/Components: Landing Page: Create/join session with brutalist hero section Code Editor View: Split panels with: Code editor (main focus) Language selector Execute button Output console Connected users list Session Link Sharing: Copy-to-clipboard functionality Generate OpenAPI Specification for Backend: After implementing the frontend, create OpenAPI 3.0 specs for: POST /api/sessions - Create new coding session GET /api/sessions/:id - Get session details WebSocket /ws/sessions/:id - Real-time code updates PUT /api/sessions/:id/code - Update code GET /api/sessions/:id/code - Get current code Deliverables: Complete React + Vite frontend application Brutalist/neobrutalist CSS design system OpenAPI specification file (openapi.yaml) README with setup instructions Make it look raw, powerful, and terminal-inspired - think hacker aesthetic with modern polish! | 1 |
| I take part in I Dev Tools Zoomcamp: Write Better Code Faster Welcome to the AI Dev Tools Zoomcamp, a free course that helps you use AI tools to write better code, faster. now Module 2 — End-to-End Project Here is my homework. use best world practice as senior developer from Google. Yo need help me write app here is n this homework, we'll build an end-to-end application with AI. You can use any tool you want: ChatGPT, Claude, GitHub Copilot, Codex, Cursor, Antigravity, etc. With chat-based applications you will need to copy code back-and-forth, so we recommend that you use an AI assistant in your IDE with agent mode. We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser Use these technologies Frontend: React + Vite Backend: Express.js Use best practices for OpenAPI specs You can make it in 3 steps: Frontend OpenAPI specs Backend | 1 |
| Build an online code editor to be used in interviews using JavaScript. The editor should be able to create a new file, save a file, and perform syntax highlighting. For now, only JavaScript and Python are supported for syntax highlighting and formatting. The interviewer should be able to invite a user to the code editor via a URL. Both the interviewer and the interviewee should see the same file and be able to update it. When either moves around the file, there should be an indication of who the user is who is responsible for the move and edits. Similar to Google Docs. You are only to build the front end at this time, so everything will have to be mocked. But centralize all calls to the backend that will be built later. All files and artifacts for this project are to be placed in the homework-2 directory. The work should be committed to the branch homework-2. Prefer frequent commits. Ask me If you need clarification on any points. Backend prompt Now create the backend. Backend code should not exist with the frontend code. Add database support to store the files and any other information. The backend should use FastAPI-based specs. If necessary, update the front to use OpenAPI specs. | 1 |
| Build the frontend for an online coding-interview platform and a mock backend. ## Features - Generate a shareable session link - Allow multiple connected users to edit code collaboratively in real time - Show live updates to all connected clients - Provide syntax highlighting for multiple languages - Run code safely inside the browser (no server execution) - Implement basic session storage on frontend + mock responses from backend ## Tech Stack - **Frontend:** React + Vite + JavaScript/TypeScript - **Real-time:** Use WebSockets or a simple mock for now - **Code Editor:** Monaco Editor or CodeMirror 6 - **Mock Backend:** Python 3.13 (simple FastAPI or Flask mock endpoints) - use uv instead of the pip ## Design Requirements - Modern, clean, minimalist UI - Color palette: black + yellow - High contrast, large readable fonts - Minimal chrome, focus on editor space - Responsive design ## Project Structure ``` zmcp_online_coding_m2_hw/ ├── src/ # frontend source (no nested frontend/ folder) │ ├── components/ │ ├── hooks/ │ ├── pages/ │ ├── lib/ │ └── tests/ ├── public/ ├── backend-mock/ │ ├── app.py │ ├── requirements.txt │ └── run.sh ├── package.json └── vite.config.ts ``` ## Backend Mock Requirements - **Framework:** Python 3.13 FastAPI (preferred) or Flask - **Endpoints:** - `POST /session/create` → returns `session_id` + url - `GET /session/{id}` → returns mock session info - **Storage:** No real persistence required; use simple in-memory dicts for session storage - **CORS:** Enable CORS for frontend local development ## Deliverables - [ ] Fully working frontend (React + Vite) - [ ] Integrated mock backend - [ ] Real-time collaborative editing (can be mocked with broadcast inside frontend if needed) - [ ] Clean black-and-yellow minimalist UI | 1 |
| You are an expert full-stack engineer. Build a minimal but production-ready web app for ONLINE CODING INTERVIEWS. GOAL Create a platform where an interviewer can generate a link, share it with a candidate, and both can edit and run code together in real time in the browser. TECH STACK - Frontend: React + Vite (prefer TypeScript if supported) - Backend: Node.js + Express.js - Realtime layer: you can use WebSockets (e.g. Socket.IO) or native WebSocket - Package manager: npm or yarn (choose one and be consistent) CORE FEATURES 1. Interview session links - An interviewer can create a new interview session. - The backend generates a unique session ID and returns a shareable URL (e.g. /session/:sessionId). - Anyone with the link can join the same coding room. - No full authentication is required, but: - Ask the user for a display name when they join (e.g. “Interviewer”, “Candidate”). - Show the list of connected participants in the UI. 2. Collaborative code editor - All participants in the same session share a single code editor. - Changes from any participant are propagated in real time to everyone else. - Use a well-supported in-browser editor component (e.g. Monaco or CodeMirror). - Implement basic collaboration: - Real-time syncing of the code contents. - (Optional but nice) Remote cursor or “user is typing” indicators. 3. Realtime updates - Use WebSockets for real-time communication between clients and server. - The server should: - Manage rooms by session ID. - Broadcast code changes to all clients in the same room. - Handle basic edge cases: - New user joining an ongoing session should receive the latest code state. - Handle user disconnects gracefully. 4. Multi-language syntax highlighting - The editor should allow selecting a programming language from a dropdown (e.g. JavaScript, Python, Java, C++). - Change syntax highlighting based on the selected language. - Persist the selected language per session (so if one user changes it, everyone sees the update). 5. Safe in-browser code execution - Add a “Run” button that executes code safely in the browser. - Requirements: - DO NOT execute arbitrary code directly on the backend for this prototype. - For JavaScript: run code in a sandboxed environment (e.g. iframe or Web Worker). - For non-JS languages, you can: - Either integrate a safe in-browser runtime (e.g. WASM-based, like Pyodide), OR - Stub execution with a clear placeholder function but design the code to be easily extendable later. - Show stdout / stderr (or simulated output) in a console panel below the editor. - Code execution must not be able to access browser global objects or network directly in an unsafe way. 6. UI / UX - Clean, minimal layout: - Top bar: app title and session ID. - Left/main: collaborative code editor with language selector and “Run” button. - Right or bottom: output console. - Small side panel for the list of connected users and their display names. - Make the layout responsive and usable on typical laptop screens. NON-FUNCTIONAL REQUIREMENTS - Project structure - Separate frontend and backend folders if using a monorepo style, e.g.: - /client (React + Vite) - /server (Express) - Provide clear scripts in package.json: - server: `npm run dev` or similar - client: `npm run dev` - root: optional script to run both (e.g. with concurrently), if convenient. - Code quality - Use clear, modular structure: - Separate routes, controllers, and realtime logic on the backend. - Separate components, hooks, and services on the frontend. - Add comments to explain key parts: - How sessions are created. - How realtime collaboration works. - How code execution is sandboxed. - Use environment variables for configuration (e.g. server port, WebSocket URL). - Error handling and robustness - Handle typical errors: - Invalid / unknown session ID. - WebSocket connection errors. - Display user-friendly error messages in the UI (not raw stack traces). DELIVERABLES - Complete source code for: - React + Vite frontend. - Express backend with realtime collaboration. - Instructions (in a README) explaining: - How to install dependencies. - How to run the backend. - How to run the frontend. - How to start a new interview session and share the link. Focus on a working, well-structured MVP that demonstrates: - Creating sessions, - Joining them via link, - Collaborative editing, - Real-time updates, - Safe in-browser execution for at least JavaScript, with clean and readable code. | 1 |
| **Role:** Act as a Software Architect and Senior Full Stack Developer. **Goal:** Build an "End-to-End" online coding interview platform. **Tech Stack:** - **Frontend:** React + Vite (TypeScript). - **Backend:** FastAPI (Python). - **Communication:** WebSockets (for real-time collaboration). **Implementation Instructions (Step-by-Step):** **Step 1: Initial Frontend** Initialize the React project with Vite. Create a basic interface with a text editor (you can use a simple `textarea` for now) and a side panel. **Step 2: OpenAPI Specification (API First)** Before writing the backend code, generate the API contract. Create an `openapi.yaml` (or json) file that defines: - Basic REST endpoints (health check, create session). - **Crucial:** Document the WebSocket endpoint `/ws/{room_id}` (even though OpenAPI has limited support for sockets, describe it). **Step 3: Backend with FastAPI** Implement the FastAPI server strictly based on the OpenAPI specification generated in the previous step. - Initialize the project using `uv init` and add dependencies with `uv add fastapi uvicorn`. - Implement the WebSocket to allow message echoing (broadcast to all users in the room). Please execute Step 1, wait for my confirmation, then Step 2, and finally Step 3. Start with Step 1. | 1 |
| I want to build an online technical interview platform with real-time collaborative code editing. Please design the complete architecture, backend API, frontend components, and provide working code examples. ### Project Requirements - **Frontend:** React + Vite - **Backend:** Express.js - **Features:** - Generate a unique link for each interview session and share it with candidates. - Real-time collaborative code editing for all connected users. - Instant code updates for everyone in the session. - Syntax highlighting for multiple programming languages. - Secure client-side code execution (running code directly in the browser, not on the server). - Real-time communication using WebSockets or similar technologies. ### What You Need to Deliver 1. **Full system architecture** (frontend, backend, WebSocket layer, modules). 2. **API and WebSocket design**, including endpoints and event names. 3. **Project folder structure** for both frontend and backend. 4. **Working code examples**, including: - React collaborative code editor component. - WebSocket configuration (client + server). - Logic for generating unique session links. 5. **Recommended libraries**, such as: - Monaco Editor or CodeMirror 6 for the editor - Y.js, CRDTs, or Socket.io for synchronization 6. **Technical explanation for secure in-browser code execution**, using WebContainers, sandboxing, or iframes. 7. **Best practices for security, scalability, and performance.** ### Format Respond in well-structured sections, with code samples and explanations. | 1 |
| implement both frontend and backend of app Frontend OpenAPI specs Backend The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser You can choose any technologies you want. For example: Frontend: React + Vite Backend: Express.js | 1 |
| Build a platform for online coding interviews using React + Vite. The app should be able to do the following: 1. Create a link and share it with candidates 2. Allow everyone who connects to edit code in the code panel 3. Show real-time updates to all connected users 4. Support syntax highlighting for multiple languages 5. Execute code safely in the browser Make sure that all the logic is covered with tests. Don't implement backend, so everything is mocked. But centralize all the calls to the backend in one place | 1 |
| implement a platform for online coding interviews using Frontend: React + Vite and Backend: Express.js | 1 |
| Act as a professional full-stack software architect focused on Node.js Create a plan of building platform for online collaborative coding. The app should be able to do the following: - Create a link and share it with candidates - Allow everyone who connects to edit code in the code panel - Show real-time updates to all connected users Use this tech stack: - Frontend: React + Vite - Backend: Express.js | 1 |
| Create a React + Vite + TypeScript frontend for an online coding interview platform. ## Core Features: 1. **Session Management** - Landing page to create a new coding session (generates unique session ID/link) - Join existing session via URL (e.g., /session/:sessionId) - Copy shareable link to clipboard 2. **Collaborative Code Editor** - Code editor panel with syntax highlighting (use CodeMirror or Monaco) - Support JavaScript and Python languages with language selector - Real-time updates simulation (prepare for WebSocket integration later) 3. **Code Execution** - "Run" button to execute code - Output panel showing execution results - Error handling and display ## Architecture Requirements: ### API Layer (Centralized) Create a single `src/api/` folder with: - `client.ts` - base HTTP/WebSocket client configuration - `sessions.ts` - session CRUD operations - `types.ts` - TypeScript interfaces for all API responses/requests All backend calls MUST go through this API layer. Use mock implementations that return realistic data. Make sure that all the logic is covered with tests. Frontend must be in folder /frontend | 1 |
| I need to build an online coding interview platform with the following features: - Create a link and share it with candidates - Allow everyone who connects to edit code in the code panel - Show real-time updates to all connected users - Support syntax highlighting for multiple languages - Execute code safely in the browser Please implement both frontend and backend: - Frontend: React + Vite - Backend: Express.js with Socket.IO for real-time updates The application should have: 1. A landing page where users can create a new interview session 2. A session page with a code editor that supports real-time collaboration 3. Syntax highlighting for at least JavaScript and Python 4. Code execution in the browser using WebAssembly 5. A way to share the session link with others Please provide the complete code structure including: - Project setup instructions - Frontend components and logic - Backend API and WebSocket implementation - Integration between frontend and backend - Configuration for code execution in the browser | 1 |
| You are a senior full-stack JavaScript engineer. Please create a minimal but working full-stack web application for online coding interviews. Functional requirements: - Frontend built with React + Vite, backend with Node.js + Express. - Real-time collaborative code editor using Socket.IO so multiple users can edit the same document. - REST API to create and join interview sessions (returning a shareable session id or link). - Use Monaco Editor with syntax highlighting for JavaScript and Python, and optionally Java. - Execute JavaScript code safely in the browser (no server-side execution). - Execute Python code in the browser using Pyodide (Python compiled to WebAssembly). - Never execute user code on the server. - Add basic integration tests to check the interaction between client and server. - Add npm scripts so I can run both frontend and backend with a single `npm run dev`, and run all tests with a single `npm test`. - Structure the code so that later I can put frontend and backend into a single Docker image for deployment. | 1 |
| I need to create a live coding interview platform with backend and frontend. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser You can choose any technologies you want. For example: Frontend: React + Vite or Streamlit Backend: Express.js or Django Your goal is to create frontend and a backend, and also generate the openapi specs so backend and frontend can integrate. I would like you to follow the test driver development to make sure unit tests and integration tests work. For coding interviews SQL, python and javascript can be used. Make sure coding app is in another folder | 1 |
| Initial Prompt: Build a real-time coding interview platform with the following features: 1. Create shareable links for interview sessions 2. Allow multiple users to edit code simultaneously with real-time synchronization 3. Support syntax highlighting for multiple programming languages 4. Execute code safely in the browser 5. Show real-time updates to all connected users Technical Requirements: - Frontend: ReactJS application in a 'frontend' directory - Use Monaco Editor for code editing with syntax highlighting - Implement WebSocket connection for real-time collaboration - Create an admin panel to generate and manage interview sessions - Add routing to handle different sessions via unique links - Include code execution capability in the browser - Use mock backend APIs initially - Backend: ExpressJS application in a 'backend' directory - Implement WebSocket support for real-time code synchronization - Use in-memory storage for sessions and code state - Create REST APIs for session management - Handle multiple concurrent interview sessions - Documentation: Create OpenAPI 3.0.0 specs in a 'docs' directory - Define all REST API endpoints - Include WebSocket event specifications Please implement the complete solution with all three components: frontend, OpenAPI specs, and backend. | 1 |
| please help to create an end to end solution which is a platform for online coding interviews. it should have the functionalities below: 1. Create a link and share it with candidates, 2. Allow everyone who connects to edit code in the code panel, 3. Show real-time updates to all connected users, 4. Support syntax highlighting for multiple languages, 5. Execute code safely in the browser. implement both frontend and backend, JavaScript for frontend, python for backend | 1 |
| I want to build real-time collaborative coding interview platform. It must have the following features: - Create a link and share it with candidates - Allow everyone who connects to edit code in the code panel - Show real-time updates to all connected users - Support syntax highlighting for multiple languages - Execute code safely in the browser And if possible, implement also the following two "bonuses" bonus 1: Built-in Chat Panel; a small text chat box on the side or bottom of the editor. bonus 2: Language Switching with Template Starter Code; A dropdown that lets users switch languages, and loads a minimal starter code snippet (e.g., def main(): for Python, or public class Main {} for Java). Create both frontend and backend. Use react and vite for frontend and express.js for backend | 1 |
| Based on the specifications in the CLAUDE.md file in this repository, I need you to develop a complete collaborative real-time code interview platform. Instructions: 1. Carefully read CLAUDE.md - It contains all technical specifications and requirements. 2. Implement the complete application following the recommended structure and technology stack. 3. Document each step and answer the homework questions about the initial prompt, commands, libraries, Docker, and deployment. | 1 |
| We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser You can choose any technologies you want. For example: Frontend: React + Vite Backend: Express.js We recommend using JavaScript for frontend, because with other technologies, some of the requirements may be difficult to implement. | 1 |
| We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser Frontend: React + Vite add mockups for that and also for log in. everything should be interactive - I can log in, sign up, see my username when I'm logged in, see the code editor, and see the code execution output, also see who is connected to the session. don't implement backend, so everything is mocked. But centralize all the calls to the backend in one place | 1 |
| Build a complete end-to-end online coding interview application. > 1. Frontend: React + Vite. Use @monaco-editor/react for the code editor. > 2. Backend: Express.js + Socket.io for real-time collaboration. > 3. Features: > - Real-time code syncing between users. > - Syntax highlighting for JavaScript and Python. > - Client-side code execution: Use Pyodide for Python and a WebWorker for JavaScript. > 4. Structure: Create /client and /server directories. > 5. Create a Dockerfile for the production build. > 6. Create a README.md with run instructions. | 1 |
| frontend Build a full React + Vite frontend for an online coding interview platform. Requirements: - Pages: 1. Home page with “Create Interview Room” button. 2. Room page: collaborative code editor + user list + run code button. - When “Create Room” is clicked, call backend POST /rooms to generate a roomId and navigate to /room/:roomId. - Use React Router. - Use Zustand for state management. - Use Socket.IO client for real-time collaboration. - Use Monaco Editor for code writing. - Support syntax highlighting for multiple languages. - On any code change: - Emit "code_change" to backend via socket. - Listen for updates and sync all connected users. - Room page layout: - Left: Monaco Editor - Right: Users list + language selector + "Run Code" button - Code execution: - POST /execute with {code, language} - Display output below the editor - UI: - TailwindCSS - Minimal dark-themed interface Deliver: - Full src/ folder - All components, pages, hooks, store files - Complete working implementation Backend Create a full Express.js backend for an online coding interview platform. Requirements: - Tech: Express.js, Socket.IO, VM2 or isolated sandbox, child_process for language runtimes. - Folder structure: src/ server.js socket.js routes/ controllers/ services/ utils/ sandbox/ Features: 1. API Endpoints: - POST /rooms → returns {roomId} - GET /rooms/:roomId → returns room state (current code, language, users) - POST /execute → safely execute code in sandbox 2. Real-time Collaboration (Socket.IO): Events: - join_room - code_change - language_change - user_joined - user_left Logic: - Maintain in-memory store: roomId → { code, language, users } - Sync newly joined user with latest code & language - Broadcast all changes to all except sender 3. Code Execution: - Sandbox JavaScript using vm2 (no fs/network/process) - Python/C++/Java via child_process with timeout (2 seconds) - Return {output, error} - Kill long-running processes to prevent locking Deliver: - Full backend code ready to run - All routes, controllers, services, socket logic - package.json scripts and dependencies -tests OpenApi Specs Generate an OpenAPI 3.1 YAML specification for the online coding interview platform backend. Title: "Online Coding Interview API" Version: 1.0.0 Server: http://localhost:4000 Paths: POST /rooms Summary: Create an interview room Responses: 200: description: Room created content: application/json: schema: type: object properties: roomId: type: string GET /rooms/{roomId} Summary: Get room info Parameters: - in: path name: roomId required: true schema: type: string Responses: 200: description: Room data content: application/json: schema: type: object properties: roomId: { type: string } code: { type: string } language: { type: string } users: type: array items: type: string POST /execute Summary: Execute code safely in sandbox RequestBody: required: true content: application/json: schema: type: object properties: code: { type: string } language: type: string enum: [javascript, python, cpp, java] Responses: 200: description: Execution result content: application/json: schema: type: object properties: output: { type: string } error: { type: string } WebSocket: Socket.IO (/ws) Events: join_room: roomId: string userId: string code_change: code: string language_change: language: string user_joined: userId: string user_left: userId: string | 1 |
| You are a senior frontend engineer. Build a frontend-only web application for an online coding interview platform using: React + Vite JavaScript (not TypeScript) Functional requirements: A landing page with a button to: Create a new interview session Generate a unique session link (UUID or random string) A collaborative code editor page that: Allows multiple users to edit code at the same time Shows real-time updates when any user types Displays a list of connected users The editor must: Support syntax highlighting for multiple languages (at least JavaScript, Python, Go) Allow switching programming languages Use a professional editor component (e.g. Monaco Editor) Include a Run Code button that: Sends the code to a mock execution function (browser-side only for now) Displays stdout / error output in a console panel UI layout: Code editor on the left Output / console panel on the right or bottom Clean and interview-friendly design Technical constraints: Use WebSocket client logic (assume backend exists) Do not implement backend logic Use mock WebSocket events for now Keep the code modular and readable Deliverables: Project structure Key React components WebSocket client abstraction Example mock data flow Clear instructions on how real-time sync will work once the backend is connected --------- END of Front-end prompt ---------------------- --------- Start of Backend prompt ----------------------- You are a senior backend engineer. Take a look at frontend directory to undearstand more and generate openapi specs for the backend. This backend code must be compatible with frontend. Build the backend for an online coding interview platform using: - Go - net/http - WebSockets (gorilla/websocket or nhooyr.io/websocket) - WebAssembly (WASM) for secure code execution Core Responsibilities 1. Session Management - API to create interview sessions - Generate unique session IDs - Maintain in-memory session state: - Current code - Selected language - Connected users 2. Real-Time Collaboration (WebSockets) - WebSocket server that: - Allows users to join a session - Broadcasts code changes to all clients - Syncs language selection - Tracks joins / leaves - WebSocket Events - join_session - code_update - language_change - user_joined - user_left 3. Secure Code Execution with WebAssembly Implement sandboxed execution using WASM: Supported Languages - JavaScript → QuickJS (WASM) - Python → Pyodide - Go → Go compiled to WASM Execution Rules - No filesystem access - No network access - CPU time limit - Memory limit - Execution timeout Execution Flow - Backend receives code + language - Backend invokes the corresponding WASM runtime - Capture stdout / stderr - Return execution result to frontend Explain: - Why WASM is safe - How resource limits are enforced - How infinite loops are prevented 4. API Endpoints - POST /sessions → create session - GET /sessions/{id} → session metadata - POST /execute → run code via WASM 5. Architecture & Design - Clean separation of: 1. HTTP APIs 2. WebSocket handlers 3. Session store 4. WASM execution engine - Thread-safe session storage - Graceful connection handling Deliverables - keep the code in the backend directory - Go project structure - WebSocket server implementation - In-memory session store - WASM execution engine - Security considerations - Frontend integration instructions | 1 |
| Implement a platform for online coding interviews. The app should be able to do the following: * Create a link and share it with candidates; * Allow everyone who connects to edit code in the code panel; * Show real-time updates to all connected users; * Support syntax highlighting for multiple languages; * Execute code safely in the browser. First create folder named `02-end-to-end` and continue work iside of it. Implement frontend in the `02-end-to-end/frontend` folder and backend in the `02-end-to-end/backend` folder. The frontend uses React + Vite. To use node use Node 22 avalaible from `$HOME/.nvm/nvm.sh After implementing the frontend, extract OpenAPI specs from the frontend and create the backend in Express.js based on the OpenAPI specs. | 1 |
| Create a Snake game FrontEnd with React. Snake head should be a slightly different color then the rest of the body. Snake should be pass trough the walls and appear from another side of the board. Prepare to make it multiplayers - we will have this functionality: leaderboard and watching (me following other players that currently play). add mockups for that and also for log in. everything should be interactive - I can log in, sign up, see my username when I'm logged in, see leaderboard, see other people play (in this case just implement some playing logic yourself as if somebody is playing) make sure that all the logic is covered with testsdon't implement backend, so everything is mocked. But centralize all the calls to the backend in one place. BackEnd will be implemented later with Python FastAPI | 1 |
| I want to create a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser Use the following technologies Frontend: React + Vite Backend: Express.js start with a mockup | 1 |
| A modern, feature-rich Snake Game built with Vanilla JavaScript and Vite. Features include two game modes, authentication system, leaderboard, and watching mode for observing other players. | 1 |
| create platform for online coding interviews. the app should be able to do the following: create a link and share it with candidates, allow everyone who connects to edit code in the code panel, show real-time updates to all connected users, support syntax highlighting for multiple languages, execute code safely in the browser. you have to do next steps: implement frontend, analyse the content of the client and create an OpenAPI specs based on what it needs, implement backend based on these specs. use this technologies: frontend - react + vite, backend - express.js. put the whole project in existing folder '02-online-coding-interviews', use separate folder for frontend, backend. follow the guidelines in AGENTS.md | 1 |
| "Build a full-stack online coding interview platform where two users can edit code in real-time. Stack: Frontend: React + Vite (JavaScript) Backend: Python (FastAPI or Flask) with WebSockets Requirements: The app should have a landing page to create a new "interview room" with a unique ID. The main interface is a code editor. Changes made by one user should be reflected instantly for the other user in the same room. Use a library like react-codemirror for the frontend editor. The backend must handle WebSocket connections to broadcast code changes to all users in the room. Please provide the full folder structure, the requirements.txt for the backend, package.json for the frontend, and the code for the main files." | 1 |
| i want to build a web app that helps in coding interviews when someone connects to a url could modify de editor and everyone connected could check changes in real time. What would be a good prompt for doing this, take in count front-end would use react and backend fast-api. Of course is necessary to take care of security. With that idea I make it in 3 steps: make it in 3 steps: Frontend OpenAPI specs Backend | 1 |
| End-to-End Application Development We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser You can choose any technologies you want. For example: Frontend: React + Vite Backend: Express.js We recommend using JavaScript for frontend, because with other technologies, some of the homework requirements may be difficult to implement. | 1 |
| We need to implement a platform for online coding interviews. The app should be able to do the following: * Create a link and share it with candidates * Allow everyone who connects to edit code in the code panel * Show real-time updates to all connected users * Support syntax highlighting for multiple languages * Execute code safely in the browser Can you provide code to implement both frontend and backend? Thanks! | 1 |
| I’m building an end-to-end web application for online coding interviews. Please implement both the frontend and backend for the application. The app should support the following features: - Create a shareable interview room link - Allow multiple users who join the same room to collaboratively edit code - Show real-time code updates to all connected users - Support syntax highlighting for multiple programming languages (at least JavaScript and Python) - Execute code safely in the browser using WebAssembly (do not execute code directly on the server) Technology preferences: - Frontend: React + Vite (JavaScript) - Backend: Node.js + Express - Real-time updates: WebSockets - Code editor: browser-based editor with syntax highlighting - Python execution: use a WASM-based solution (e.g., Pyodide) Additional requirements: - Add basic integration tests to verify client–server interaction - Provide npm scripts to run the frontend, backend, and tests - Include an OpenAPI specification for the backend API - Include a Dockerfile to run both frontend and backend in a single container - Generate a README with instructions for running, testing, and building the application Please generate the full project structure and all necessary code. | 1 |
| You are an expert full-stack system architect and senior developer. Your task is to design and generate a complete online coding-interview platform with the following capabilities: Functional Requirements The system must generate a unique link for each interview session and allow the interviewer to share it. All connected users must be able to collaboratively edit code in real-time. The code editor must support: Real-time synchronization (multi-cursor, multi-user editing) Syntax highlighting for multiple languages (JS, Python, Java, C++, etc.) The platform must execute code safely in the browser using sand-boxed execution. All users connected to the same session must see updates instantly. Tech Stack Frontend: React + Vite Backend: Java Spring Boot Real-time communication: WebSockets (or suggest a better approach) Code editor: Monaco Editor or CodeMirror 6 In-browser execution: WebAssembly sandbox or a secure execution worker model Your Output Should Include High-level architecture diagram explanation API design (Spring Boot) — endpoints, request/response schemas Database schema — tables + fields + relationships Frontend file structure (React + Vite) Implementation notes for real-time collaboration Sample code: Spring Boot WebSocket setup React code editor component with collaboration logic Browser-safe code execution worker Security considerations — CORS, code sandboxing, WebSocket auth, session validation Deployment plan — how to run the system locally and how to deploy it at scale Style Requirements Produce clean, optimized, well-commented code. Follow modern architecture best practices. If something is ambiguous, propose the best industry-standard solution. | 1 |
| implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser add mockups for that and also for log in. everything should be interactive - I can log in, sign up, see my username when I'm logged in make sure that all the logic is covered with tests don't implement backend, so everything is mocked. But centralize all the calls to the backend in one place 1. there should be distinct roles (interviewer vs candidate) with different permissions 2. interview sessions should persist and be viewable later for review 3. code execution - javascript, python, typescript and support for others # Design Aesthetics, Use Rich Aesthetics: The USER should be wowed at first glance by the design. Use best practices in modern web design (e.g. vibrant colors, dark modes, glassmorphism, and dynamic animations) to create a stunning first impression. Failure to do this is UNACCEPTABLE. Prioritize Visual Excellence: Implement designs that will WOW the user and feel extremely premium: - Avoid generic colors (plain red, blue, green). Use curated, harmonious color palettes (e.g., HSL tailored colors, sleek dark modes). Using modern typography (e.g., from Google Fonts like Inter, Roboto, or Outfit) instead of browser defaults. Use smooth gradients, Add subtle micro-animations for enhanced user experience, Use a Dynamic Design: An interface that feels responsive and alive encourages interaction. Achieve this with hover effects and interactive elements. Micro-animations, in particular, are highly effective for improving user engagement. Premium Designs. Make a design that feels premium and state of the art. Avoid creating simple minimum viable products. Don't use placeholders. If you need an image, use your generate_image tool to create a working demonstration., For security reasons, we don't want to execute code directly on the server. Instead, let's use WASM to execute the code only in the browser. Use React router v7 ssr framework, typescript, tailwindcss Mock the underlying socket/connection logic but handle state updates as if they were coming from a server (simulating collaboration. implement real cross-tab synchronization. If you open the app in two different tabs (one as Interviewer, one as Candidate), edits in one could reflect in the other using storage events. For features like "logging in" and "creating links", store this data in the browser's localStorage so the session and created interviews persist across page reloads. | 1 |
| Implement an end-to-end online coding interview platform with real-time collaborative editing, shareable room links, syntax highlighting, and safe in-browser code execution**. ### Tech constraints (use exactly these) * Monorepo with: * `frontend/`: React + Vite + TypeScript * `backend/`: Node.js + Express + TypeScript * Real-time: use Socket.IO (server + client) * Code editor: use Monaco Editor (syntax highlighting) * Safe execution in the browser: * Implement JavaScript execution via a Web Worker sandbox * Time-limit execution (e.g., 2s), capture `console.log`, and prevent access to DOM APIs * Return stdout + errors back to UI * (Do not execute code on the server) ### Functional requirements 1. A user can click “Create interview” and get a shareable link like `/r/<roomId>`. 2. Anyone opening the link joins the same room and can: * edit code in the editor collaboratively * see live updates in real-time 3. Provide a language selector (at least `javascript`, `python`, `typescript`) that changes editor highlighting. * Execution is required only for JavaScript (others can show “coming soon”). 4. Add a “Run” button: * Runs code in the Web Worker * Shows output panel with captured logs and error messages 5. Keep it simple but working. ### Architecture details * Backend: * `POST /api/rooms` creates a room id and returns it * Socket.IO handles: * `join-room` (roomId) * `code-update` (roomId, code) * `language-update` (roomId, language) * Maintain room state in memory (no DB). * CORS configured for Vite dev server. * Frontend: * Landing page: “Create interview” button. * Room page: * Monaco editor + language selector * output panel + Run button * Connect to Socket.IO and synchronize state * Debounce edits to avoid flooding. ### Dev experience (must work in Codespaces) * Provide `package.json` scripts in root and each app. * Add a "root README" with exact commands to run locally: * `npm install` * `npm run dev` (runs both frontend+backend concurrently) * Include a root `docker-compose.yml` (optional, but preferred) to run both services. ### Deliverables * Create all files and folders. * Write the code, configs, and minimal styling. * Make sure it runs without manual patching. * At the end, summarize: * how to start it * what URLs to open * how to test collaboration (two tabs) * how safe execution works Proceed to generate the full implementation now inside the folder 02-end-to-end/homework/ | 1 |
| Create a full-stack online coding interview platform with the following features: - Generate a shareable interview link (unique session id) so interviewer can invite candidate(s). - Real-time collaborative code editing in a code panel: everyone who connects to the same link can edit and see updates in real time. - Syntax highlighting for at least JavaScript and Python. - Execute code safely in the browser (no server-side code execution). Python must run in-browser via WebAssembly; JS execution must be sandboxed. - A simple UI with three panels: code editor, problem description, and console/output. - Authentication is not required; sessions are ephemeral (session id encoded in URL). - Provide a REST health endpoint and a WebSocket endpoint to coordinate real-time state. - Tests: add integration tests that validate session creation, WebSocket connection, broadcast behavior, and a basic code-exec flow. - Package scripts: add `dev` that runs both client and server concurrently. - Dockerfile: produce a single Dockerfile that builds the frontend, serves static assets, and runs the backend in one Node container. - README.md with commands to run, test, and build. - Use the following libraries/approaches: - Frontend: React + Vite - Editor: Monaco Editor (`@monaco-editor/react`) - CRDT sync: Yjs with WebSocket provider (`y-websocket` server) OR an Express WebSocket server using `ws` and Yjs awareness - In-browser Python: Pyodide (WASM) - JS sandboxing: run JavaScript code in a sandboxed iframe or in a Web Worker with limited APIs - Tests: Jest + Supertest for backend, Playwright for end-to-end - Please produce file and folder structure, package.json scripts, and the minimum working code for client and server. Include comments where manual configuration is required. Keep security considerations in mind (do not execute user code on the server). | 1 |
| Build a collaborative coding interview platform with the following features: Frontend (React + Vite): - Create shareable links for coding sessions - Real-time collaborative code editor - Support for multiple users editing simultaneously - Clean, modern UI with session management Backend (Express.js + WebSocket): - WebSocket server for real-time synchronization - Session management with unique room IDs - Broadcast code changes to all connected clients - Support CORS for local development Technical Requirements: - Use Socket.io for WebSocket communication - Generate unique session IDs (use nanoid or similar) - Synchronize cursor position and code changes - Handle user connections/disconnections gracefully Project Structure: - /client - React frontend - /server - Express backend - Use proper ES6+ syntax - Include package.json for both client and server | 1 |
| You are an expert frontend engineer. Based on the AGENTS.md specification of a real-time collaborative code editor, generate ONLY the frontend application using React + Vite. REQUIREMENTS: - Implement the UI for a collaborative code editor. - Use React functional components + hooks. - Integrate Monaco Editor (or CodeMirror) with syntax highlighting for JS, Python, Java, C++, HTML, CSS. - Include UI for: - joining/creating collaborative sessions - live code editor (Monaco/CodeMirror) - list of connected users - cursor position indicators - execute-code button and an output panel - Implement WebSocket client using socket.io-client. - Implement the following WebSocket events in the frontend: // Client → Server 'join-session': { sessionId, userId } 'code-change': { sessionId, code, cursorPosition } 'execute-code': { sessionId, code, language } // Server → Client 'user-joined': { userId, userCount } 'user-left': { userId, userCount } 'code-updated': { code, userId, cursorPosition } 'execution-result': { output, error } - Implement debounce on editor updates (300ms). - Provide clean, production-ready code using ESLint + Prettier conventions. DELIVERABLE: - Complete frontend folder structure. - All React source code files. - Vite config. - package.json (frontend only). - Do NOT include backend or openapi.yaml. | 1 |
| Build an initial baseline version of a collaborative coding interview web app. **Baseline Scope** * This is a v0 prototype, build the simplest version satisfying the requirements. * No authentication is required. * No testing is required. **Frontend Requirements** * A single-page application deployable to a webpage. * Users can start a new session via a button. * When a session starts, generate a session link. * Any user with the session link can join the same session. * The UI should include: - A shared code editor panel. - A language selection dropdown. - A “Run Code” button. - A second panel showing execution output (stdout and errors). - An "End Session" button. * Multiple users can edit the code editor simultaneously. - A simple shared text buffer with last-write-wins behavior is acceptable for this baseline. * All edits should be visible to all connected users in real time. * Syntax highlighting should update based on the selected language. **Backend Requirements** * Provide an API to: - Create a new session. - Join an existing session by session ID. * Each session should maintain: - A shared text buffer. - A selected programming language. * Sessions are temporary and stored in memory. * Sessions expire after inactivity (no connected users or edits), set the timeout for 15 minutes. * Session end or expiry disconnects all users and invalidates session link. * Real-time synchronization should be implemented using WebSockets. * Code execution: - Support exactly two languages: Python and JavaScript. - Execution is triggered by the Run button. - Capture stdout and stderr. - Return execution results to all connected users. - Code execution does not need to be fully sandboxed for this prototype; basic safeguards are sufficient. **Technical Stack** * Frontend: React with CodeMirror code editor. - use concurrently to provide a command that starts both frontend and backend services. - concurrently is intended for development, partition it from the main code. * Backend: Python with FastAPI - Dependency and environment management should be handled using uv. - Dependencies should be declared in pyproject.toml. - A lockfile should be included to ensure reproducible installs. - Instructions should assume developers use uv to run the backend locally. **Deliverables** * Basic project structure. * Clear separation of frontend and backend. * Instructions for running the app locally. | 1 |
| i want to implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser You can choose any technologies you want. For example: Frontend: React + Vite Backend: Express.js I want to use JavaScript for frontend implement both frontend and backend | 1 |
| We will implement a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser Use Tanstack Start: https://tanstack.com/start/latest framework. Use Convex for the database and backend: https://docs.convex.dev/home Use OpenAI specs for communiticating between the frontend and backend, but only if needed i.e. tanstack or convex cannot do it natively. | 1 |
| create a platform for online coding interviews. It will have the following functionalities: create a link and share it with candidates,allow everyone who connects to edit code in the code panel, show real-time updates to all connected users, support syntax highlighting for multiple languages, execute code safely in the browser. Add mockups for those functionalities and also for log in. everything should be interactive. Make sure that all the logic is covered with unit tests. Create the frontend with React and Javascript. Don't implement backend, so everything is mocked. But centralize all the calls to the backend in one place | 1 |
| Build a real-time collaborative coding interview platform: FRONTEND (React + Vite): - Create shareable session links with unique IDs - Real-time code editor with Monaco Editor - Syntax highlighting for Python and JavaScript - Language selector dropdown - Execute Python (with NumPy/Pandas via Pyodide WASM) and JavaScript (Web Workers) in browser - Shared output console synchronized across users - Dark/Light theme toggle - Presence tracking (connected users count) - Purple/violet color scheme BACKEND (Node.js + Express): - REST API: POST /api/sessions, GET /api/sessions/:id, GET /health - Socket.IO for real-time sync: code changes, language selection, output, presence - In-memory session storage (no database) - CORS, rate limiting, security headers REQUIREMENTS: - Client-side code execution only (Pyodide for Python, Web Workers for JS) - NumPy and Pandas auto-install on first Python run - Real-time synchronization via WebSockets - Session isolation (changes in one session don't affect others) - Integration tests for REST API and Socket.IO - Docker containerization - Run both client and server with concurrently | 1 |
| You are a senior full-stack software engineer. Your task is to design and implement an online coding interview platform with real-time collaborative code editing and safe in-browser code execution. The system MUST be implemented in THREE STRICT PHASES, in the following order: 1. Frontend 2. OpenAPI specification 3. Backend DO NOT SKIP OR MERGE PHASES. DO NOT IMPLEMENT BACKEND BEFORE OPENAPI IS FINALIZED. -------------------------------------------------- CORE REQUIREMENTS -------------------------------------------------- The platform must support: 1. Creating a unique interview link that can be shared with candidates 2. Multiple users joining the same session via the link 3. Real-time collaborative code editing (all users can edit) 4. Live updates reflected instantly to all connected users 5. Syntax highlighting for multiple programming languages 6. Safe execution of code in the browser (no server-side execution of user code) 7. Clean architecture, scalability, and security considerations -------------------------------------------------- TECH STACK CONSTRAINTS -------------------------------------------------- You may choose the stack, but DEFAULT to: - Frontend: React + Vite + TypeScript - Backend: NestJS + TypeScript - Realtime: WebSockets (Socket.IO or native WS) - Editor: Monaco Editor or CodeMirror - State Sync: CRDT or Operational Transform (Yjs preferred) - Code Execution: Web Workers + sandboxed execution - API Style: REST + WebSocket events - Auth: Anonymous session-based (no login required) -------------------------------------------------- PHASE 1 — FRONTEND -------------------------------------------------- Design and implement the frontend FIRST. You must: - Explain the frontend architecture - Define main pages and components - Implement: - Session creation page - Interview room page - Collaborative code editor - Language selector - Run code button - Output console - Implement real-time syncing using WebSockets - Implement code execution using Web Workers (NO eval on main thread) - Support at least JavaScript, Python (simulated), and TypeScript - Handle disconnects and reconnections gracefully Deliverables: - Folder structure - Key components with code - WebSocket client logic - State management approach - Security considerations on frontend DO NOT IMPLEMENT BACKEND YET. -------------------------------------------------- PHASE 2 — OPENAPI SPECIFICATION -------------------------------------------------- Before writing backend code, define a COMPLETE OpenAPI 3.0 specification. You must: - Define all REST endpoints - Define request/response schemas - Define WebSocket events separately - Cover: - Session creation - Session join - Session metadata - Presence updates - Error handling - Include examples - Clearly mark which endpoints are public vs internal Deliverables: - OpenAPI YAML (or JSON) - WebSocket event contract documentation DO NOT WRITE BACKEND CODE IN THIS PHASE. -------------------------------------------------- PHASE 3 — BACKEND -------------------------------------------------- Now implement the backend strictly according to the OpenAPI spec. You must: - Use NestJS - Implement REST controllers - Implement WebSocket gateway - Manage sessions in memory (with note on Redis scaling) - Broadcast code updates efficiently - Handle concurrency correctly - Validate all inputs - Implement rate limiting - Handle cleanup of inactive sessions Deliverables: - NestJS folder structure - Controllers, services, gateways - WebSocket implementation - Validation and error handling - Scalability notes -------------------------------------------------- QUALITY BAR -------------------------------------------------- - Code must be production-quality - Use TypeScript everywhere - Follow SOLID principles - Avoid overengineering - Add comments only where necessary - Assume this could be used in real interviews -------------------------------------------------- OUTPUT FORMAT -------------------------------------------------- Respond in the following structure ONLY: 1. Frontend 2. OpenAPI Specification 3. Backend Start with **Frontend** now. | 1 |
| Build a collaborative coding interview platform (React, Tailwind, shadcn/ui). ### 1. Architecture & Principles - **Dependency Inversion:** Define interfaces in `src/lib/types` for `IInterviewService` (syncing code/users) and `IExecutionService` (running code). All components must consume these via Context, not direct imports. - **TDD Requirement:** Write Vitest tests for all service logic *before* UI implementation. Ensure 100% coverage for code execution and sync logic. - **Mocked Backend:** Centralize all "API" calls in a service layer. Use `BroadcastChannel API` + `localStorage` to simulate real-time multi-user collaboration across browser tabs without a real backend. ### 2. Core Features - **Collaborative Editor:** Integrate `@monaco-editor/react`. Support JS, Python, and C++. - **Safe Execution:** Execute JS in a **Web Worker** to prevent UI blocking. Mock outputs for other languages. - **Session Sync:** Generate shareable URLs (e.g., `/interview/[id]`). Sync code changes and "connected" users across tabs in real-time. - **Professional UI:** Dark-mode IDE layout. Left: Instructions/Participants; Center: Monaco Editor; Bottom: Output Console. Use `sonner` for event notifications. ### 3. Service Interfaces to Implement First: - `IInterviewService`: connect(id), updateCode(code), onCodeChange(cb), onUserJoin(cb). - `IExecutionService`: execute(code, lang) -> Promise<{output, error, time}>. Start by setting up the folder structure, interfaces, and Vitest suite. | 1 |
| frontend prompt: ```Create a platform for online coding interviews. The app should be able to do the following: Create a link and share it with candidates Allow everyone who connects to edit code in the code panel Show real-time updates to all connected users Support syntax highlighting for multiple languages Execute code safely in the browser Write the frontend using: React + Vite don't implement backend, so everything is mocked. But centralize all the calls to the backend in one place``` OpenAI spec prompt: ```Please create an OpenAI Spec for this frontend. Later I will create backend using this spec.``` Backend implementation prompt: ```Pls implement backend as per the openapi spec.``` | 1 |
| For an Web-Dev/SWE homework, we'll build an end-to-end application. We will implement a platform for online coding interviews, real-time collaborative coding interview platform. The app should be able to do the following: - Create a link and share it with candidates - Create session for a interviewer and the person being inetrviewed, who can access it using the link. - Allow everyone who connects to edit code in the code panel which is supported by various list of languages eg: C, C++, Java, Python, Go, JS, etc. - Show real-time updates to all connected users - Support syntax highlighting for multiple languages - Execute & compile code safely in the browser - Signup & signin for interviewer with admin accesses - Admin can terminate the session with for users. - Ask interviewer if he wants list of 10 top questions based on language and experience level. Otherwise ignore and leave what the iinterviwer wants. - After logging in interviewer must be able to see older session logs and notes and marks as well based upon date of the sessions of interviews. - Should be able to compile, and show the errors on the interviewer (who generated the session) with the suggested code improvements and errors which he can ask to the interviwee - Multiple Theme options - Show mnumber of active users with active green icon - Add a whiteboard as well which can be shared across screen - The UI/UX should be aesthetically pleasing with smooth flow and visually beautiful. You can choose any technologies you want, give suggestions if needed. For example: Frontend: React Backend: Express.js We recommend using JavaScript for frontend, because with other technologies, some of the homework requirements may be difficult to implement. Database: PostgreSQL | 1 |
| Build a real-time collaborative coding interview platform with the following requirements: FEATURES: 1. Create shareable session links for coding interviews 2. Allow multiple users to connect and edit code simultaneously in real-time 3. Show live updates to all connected users 4. Support syntax highlighting for JavaScript and Python 5. Execute code safely in the browser (not on server) TECHNICAL STACK: - Frontend: React with Vite - Backend: Express.js with WebSocket support - Real-time communication: Socket.IO - Code editor: Monaco Editor (VS Code's editor) - Styling: Tailwind CSS REQUIREMENTS: - Generate unique session IDs for each coding interview - Use WebSocket for real-time code synchronization - Implement a collaborative code editor with live cursor positions - Support multiple programming languages (JavaScript, Python) - Allow code execution in the browser using WASM - Clean, modern UI with dark/light mode support PROJECT STRUCTURE: - /client - React frontend - /server - Express backend - Separate package.json for both client and server Please implement: 1. Complete frontend with React + Vite + Monaco Editor 2. Complete backend with Express + Socket.IO 3. Real-time synchronization between multiple clients 4. Session management with unique shareable links 5. Basic error handling and validation Make sure the code is production-ready, well-structured, and includes proper error handling. | 1 |
| implement both frontend and backend - in one prompt. Note: you can also follow the same path as in the videos and make it in 3 steps: Frontend OpenAPI specs Backend | 1 |
| Use react and vite to build a platform for online coding interviews. The application should be able to do the following: - Create a link and share it with candidates - Allow everyone who connects to edit code in the code panel - Show real-time updates to all connected users - Support syntax highlighting for multiple languages - Execute code safely in the browser Use a minimal and modern design. Just implement the front-end, so everything is mocked. But centralize all the calls to the backend in one place | 1 |
| I want to implement a platform for online coding interviews. The app should be able to do the following: - Create a link and share it with candidates - Allow everyone who connects to edit code in the code panel - Show real-time updates to all connected users - Support syntax highlighting for multiple languages - Execute code safely in the browser. everything should be interactive - I can log in, sign up, see my username when I'm logged in I want you to create separatly frontend and backend services. Frontend sources should be put in ai-dev-tools-zoomcamp-2025/02-coding-interview/frontend/ and backend in ai-dev-tools-zoomcamp-2025/02-coding-interview/backend/. Frontend should be developed with NodeJS and backend - with FastAPI. Create an OpenAPI specs based on what it needs and put it in swagger. based on the OpenAPI specs, create fastapi backend for now use a mock database, which we will later replace with a real one. Frontend and backend should be covered with tests (for backend use pytest) and **размещены** in separate folders. implement a verify_api.py script that tests the running server to ensure all endpoints work correctly. Make frontend use backend. use OpenAPI specs for guidance for init work directory of project use ai-dev-tools-zoomcamp-2025/02-coding-interview follow the guidelines in AGENTS.md | 1 |
2. Integration tests
234 / 234 correct (100.0%)
| Answer | Count |
|---|---|
| npm test | 80 |
| npm run test | 17 |
| uv run pytest | 13 |
| npm run test:integration | 4 |
| npx jest | 3 |
| make test | 3 |
| cd backend && npm test | 3 |
| PYTHONPATH=. uv run pytest | 3 |
| npm run test:e2e | 3 |
| bun test | 2 |
| pytest | 2 |
| python manage.py test | 2 |
| uv run pytest tests_integration/ -v | 2 |
| npx vitest run | 2 |
| cd server && npm test | 2 |
| uv run pytest tests | 1 |
| npm test --prefix backend | 1 |
| "test": "concurrently \"cd backend && npm run test:e2e\" \"cd frontend && npm test\"" | 1 |
| uv run pytest tests/integration/ -v -m integration | 1 |
| uv run pytest tests/ -v --cov=app --cov-report=term-missing | 1 |
| "test:integration": "npm run test:integration --prefix backend" | 1 |
| npm test --silent | 1 |
| frontend: $ npm test and backend $ make test | 1 |
| uv run pytest tests_integration/ | 1 |
| cd backend && npm install && npm test | 1 |
| uv run --extra test pytest & npm test | 1 |
| cd tests npm test | 1 |
| Integration test command: `npm run test:integration` | 1 |
| Done. Link to the action's step https://github.com/anton-goran/snake-game-cosmic/actions/runs/20076636903/job/57592641468 | 1 |
| Frontend: npx vitest run; Backend: uv pytest run | 1 |
| mvn test / npm test | 1 |
| nmp test | 1 |
| (npm test) or (npm run test) | 1 |
| npm test -- src/__tests__/integration.test.js --run | 1 |
| npm run dev & sleep 3 && node test_integration.js && kill %1 | 1 |
| python -m pytest -v | 1 |
| cd /Users/(path.hidden)/02-end-to-end/backend && npm test | 1 |
| I used the following command to execute the tests: `python -m unittest test_app.py` | 1 |
| pytest tests/ -v. | 1 |
| cd client && npm test | 1 |
| go test -v . | 1 |
| cd frontend && npx playwright test | 1 |
| cd server && uv run pytest tests/ -v | 1 |
| uv run pytest (backend) npm test (frontend) uv run pytest tests/test_database.py (integration tests) | 1 |
| jest (junto con socket.io-client para probar la conexión). | 1 |
| 2.9 Add some integration tests (using sqlite) to make sure things work, put it into the integration test in a separate folder tests_integration | 1 |
| uv run pytest tests_integration | 1 |
| cd backend && pytest tests_integration/ | 1 |
| lets also add some integration test (using sqlite) to make sure things work put the ingration test in a separate folder test_integration and be sure all tests are executing successfully | 1 |
| npm run test:integration or make test-int | 1 |
| cd backend && source venv/bin/activate && pytest -q | 1 |
| See tests/test_app.py (health, /run echo via ASGI transport, websocket welcome+echo). | 1 |
| npm run test:ci | 1 |
| Integration tests using pytest and httpx should test API endpoints end-to-end with a test database (SQLite) to verify session creation, joining sessions, code updates over WebSockets, and execution results. | 1 |
| Both the frontend and backend package.json files have a "test" script defined. Terminal command for executing test is: npm run test | 1 |
| npx vitest run -c vitest.integration.config.ts | 1 |
| Add integration tests that check that the interaction between client and server works. Begin with README.md file with all the commands for running and testing your application. | 1 |
| read claude.md and roadmap.md implement part with tests | 1 |
| npm run test && npm run test:e2e | 1 |
| python -m pytest tests | 1 |
| npx vitest | 1 |
| pnpm test or npm test | 1 |
| npm test (inside server directory) | 1 |
| pnpm test:integration | 1 |
| make fullstack-test | 1 |
| npm test (Note: This is run inside the server directory) | 1 |
| docker-compose -f docker-compose.dev.yml exec dev python3 -m pytest backend/ -v | 1 |
| Command is npm run test (root) or npm test in subfolders. | 1 |
| npm test # or npm run test:integration | 1 |
| npx mocha server/test/integration.test.js | 1 |
| npm install # Already done npm test # Run once npm run test:watch # Watch mode | 1 |
| npm test (I use Express.js as beckend server) | 1 |
| cd server npm test | 1 |
| Write integration tests to check all aspects of integration between client and server, plus any other tests needed. Additionally, create a README.md file with all the commands for running and testing your application. | 1 |
| npm test integration.test.js | 1 |
| python -m pytest -q backend | 1 |
| make tests, make backend_tests, make frontend_tests, docker-compose exec backend pytest | 1 |
| python -m pytest -q | 1 |
| uv run pytest -v | 1 |
| npm test --workspace=server | 1 |
| npx playwright test | 1 |
| from fastapi.testclient import TestClient from main import app client = TestClient(app) def test_read_root(): response = client.get("/") assert response.status_code == 200 assert response.json() == {"message": "Hello from backend"} def test_run_python_code(): response = client.post("/run-python/", json={"code": "print('Hello World')"}) assert response.status_code == 200 assert "Output from Python code" in response.json()["result"] | 1 |
| cd tests && npm test | 1 |
| Add integration tests to verify that the Socket.IO interaction between client and server works. Use Jest (or Vitest) on the server side. Write a test that starts the Express + Socket.IO server on an ephemeral port, connects with socket.io-client, emits a code_change event from one client, and checks that another client in the same room receives the update. Also update README.md with exact commands to install dependencies and run tests. | 1 |
| cd tests_integration && npx playwright test | 1 |
| Terminal command for executing tests: # Run all tests (backend + frontend) npm test # Run backend tests only npm run test:backend # or cd backend && npm test # Run frontend tests only npm run test:frontend # or cd frontend && npm test # Watch mode (auto-rerun on changes) npm run test:watch # Generate coverage reports npm run test:coverage | 1 |
| cd 02-coding-interview npm test | 1 |
| Create integration tests using Playwright. Test cases: - Two browser contexts open the same shared link and edits sync in real time - Syntax highlighting loads for selected language - Running code triggers the mocked execution API and shows output - Link creation page correctly generates a mock link Mock all backend/network calls. Place integration tests under tests_e2e/. | 1 |
| Command: npm test | 1 |
| uv run pytest tests/test_integration.py (npm test) | 1 |
| `npm test` from integration-tests folder of frontend and backend directories. Follow Readme.md for installation prerequisites. | 1 |
| pytest test_integration.py -v | 1 |
| Code Synchronization (should sync code changes...) Verified: When Client A types code, Client B receives the exact same code instantly. Result: ✅ Passed Real-time Chat (should chat between two clients) Verified: When Client A sends a chat message, Client B receives it with the correct text. Result: ✅ Passed Language Switching (should sync language changes...) Verified: When Client A selects a new language (e.g., Python), Client B's editor updates to that language AND loads the correct starter template. Result: ✅ Passed These tests confirm the "Shared Real-time State" is working for all core features. Code execution is handled locally by the browser (verified manually via the UI), but the coordination of that state is handled and verified by the server tests. | 1 |
| Write full integration tests for my online coding interview platform. Tech stack: - Backend: Express.js + Socket.IO + Node - Frontend: React + Socket.IO client - Test runner: Vitest or Jest (choose based on best fit) - HTTP testing: supertest - WebSocket testing: socket.io-client Write tests for: 1. API: - POST /rooms → should return a roomId - GET /rooms/:roomId → should return room info - POST /execute → should execute code and return { output, error } 2. Socket.IO: - connect two clients to the same room - when client A sends “code_change”, client B receives it - when a user joins, “user_joined” is emitted to others - language_change is broadcast correctly 3. End-to-end behavior: - create room - join via socket - sync code across users - run code and receive execution result Requirements: - Use a test server instance (no real port) - Mock sandboxed code execution where needed - Make tests independent & isolated - Use afterAll hooks to close server/socket Deliver: - Full test folder: tests/integration/*.test.js - All imports, mocks, and setup needed for running tests Create a professional README.md for my online coding interview platform. Include: # Title # Overview # Features # Tech Stack (React + Vite, Express.js, Socket.IO) # Folder structure # Installation steps - frontend setup - backend setup # Running locally - commands for starting backend - commands for starting frontend # Running tests - integration tests - socket tests - API tests # Commands - npm run dev - npm run test - npm run build # API Reference - POST /rooms - GET /rooms/:roomId - POST /execute # WebSocket Events - join_room - code_change - language_change - user_joined - user_left # Deployment section (keep general) Write the README in a clean, attractive style using Markdown headings, code blocks, and bullet points. | 1 |
| npm run | 1 |
| Integration tests are in frontend/tests/integration/ and backend/tests/. Run frontend tests with npm run test (Vitest). Run backend tests with npm test (Mocha). Example: Tests cover game mechanics and API mocking. | 1 |
| cd backend; go test -v -count=1 ./... | 1 |
| npx playwright install chromium; npm run test:integration | 1 |
| uv run python simulate_session.py | 1 |
3. Running server & client
234 / 234 correct (100.0%)
| Answer | Count |
|---|---|
| npm run dev | 40 |
| "dev": "concurrently \"npm run server\" \"npm run client\"" | 15 |
| "dev": "concurrently \"npm run dev --prefix server\" \"npm run dev --prefix client\"" | 6 |
| "dev": "concurrently \"npm run dev:backend\" \"npm run dev:frontend\"" | 5 |
| concurrently \"npm run dev:backend\" \"npm run dev:frontend\" | 4 |
| "dev": "concurrently \"npm run dev --prefix backend\" \"npm run dev --prefix frontend\"" | 4 |
| "concurrently \"npm run dev --prefix backend\" \"npm run dev --prefix frontend\"" | 3 |
| concurrently \"npm run server\" \"npm run client\" | 3 |
| "dev": "concurrently \"npm run dev:server\" \"npm run dev:client\"" | 3 |
| concurrently "npm run dev:backend" "npm run dev:frontend" | 2 |
| npm start | 2 |
| concurrently "npm run dev:server" "npm run dev:client" | 2 |
| concurrently \"npm --prefix backend run dev\" \"npm --prefix frontend run dev\" | 2 |
| npm run dev:all | 2 |
| "dev": "concurrently \"npm run dev --prefix client\" \"npm run dev --prefix server\"" | 2 |
| "dev": "concurrently \"npm run dev:client\" \"npm run dev:server\"" | 2 |
| concurrently "npm run server" "npm run client" | 2 |
| "dev": "concurrently \"cd server && npm run dev\" \"cd client && npm run dev\"" | 2 |
| "dev": "concurrently \"cd backend && npm run dev\" \"cd frontend && npm run dev\"" | 2 |
| npm dev | 2 |
| "dev": "concurrently \"cd backend && npm run start:dev\" \"cd frontend && npm run dev\"", | 1 |
| "dev": "concurrently -n \"BACKEND,FRONTEND\" -c \"blue,magenta\" \"cd backend && uv run uvicorn main:app --reload --port 8000\" \"cd frontend && npm run dev\"" | 1 |
| "dev": "concurrently \"npm --prefix frontend run dev\" \"python -m uvicorn backend.app.main:app --reload --host 0.0.0.0 --port 8000\"" | 1 |
| "concurrently \"npm run dev:frontend\" \"npm run dev:backend\" --names \"frontend,backend\" --prefix-colors \"cyan,magenta\"" | 1 |
| "dev": "concurrently -n backend,frontend -c blue,green \"npm run dev --prefix backend\" \"npm run dev --prefix frontend\"" | 1 |
| "dev": "concurrently \"npm run start:frontend\" \"npm run start:backend\"" | 1 |
| "dev:all": "concurrently \"npm run dev:client\" \"npm run dev:server\"", | 1 |
| concurrently -n \"BACKEND,FRONTEND\" -c \"blue,green\" \"npm run server:dev\" \"npm run client:dev\"" | 1 |
| "concurrently \"cd backend && uv run uvicorn app.main:app --reload --port 8000\" \"cd frontend && npm run dev\"" | 1 |
| concurrently --names \"convex,frontend\" --prefix-colors \"magenta,cyan\" \"bun run convex:dev\" \"bun run frontend:dev\" | 1 |
| "dev": "concurrently -k -r \"npm run dev -w 02-end-to-end/server\" \"npm run dev -w 02-end-to-end/client\"" | 1 |
| concurrently \"npm run dev:server\" \"npm run dev:client\" | 1 |
| `npm run dev` command: `concurrently "npm run dev:client" "npm run dev:server"` | 1 |
| Done. Running app's link https://snake-app-98gm.onrender.com | 1 |
| Server: uv run python -m uvicorn app.main:app --reload --port 3000; Client: npm run dev | 1 |
| "dev": "concurrently \"node server.js\" \"npm:client:dev\"" | 1 |
| concurrently \"npm run dev --prefix frontend\" \"cd backend && uv run uvicorn main:app --reload --port 3001\" --names \"FRONTEND,BACKEND\" --prefix-colors \"cyan,magenta\ | 1 |
| cd backend mvn spring-boot:run / cd frontend npm install npm run dev | 1 |
| concurrently \"npm run server\" \"vite\"" | 1 |
| concurrently --names "client,server" --prefix-colors "cyan,yellow" "npm run dev --prefix frontend" "npm run dev --prefix backend" | 1 |
| "dev": "concurrently \"npm run dev:backend\" \"npm run dev:frontend\"", | 1 |
| "scripts": { "install:all": "npm install --prefix server && npm install --prefix client", "dev": "concurrently \"npm run dev --prefix server\" \"npm run dev --prefix client\"", "start": "node server/index.js", "build": "npm run build --prefix client" }, | 1 |
| "dev": "concurrently \"./start-backend.sh\" \"./start-frontend.sh\"", | 1 |
| "dev": "concurrently -n \"backend,frontend\" -c \"blue,green\" \"npm run dev --prefix backend\" \"npm run dev --prefix frontend\"", | 1 |
| Since I am using Streamlit, the frontend and backend are served by the same process. I run the application using: `streamlit run app.py` There is no `package.json` or `concurrently` needed as it is a single Python application. | 1 |
| "concurrently \"npm run dev:server\" \"npm run dev:client\"" | 1 |
| concurrently -n SERVER,CLIENT -c yellow,cyan \"npm run start:server\" \"npm run start:client | 1 |
| "dev": "concurrently -n \"BACKEND,FRONTEND\" -c \"blue,green\" \"cd backend && uv run uvicorn main:app --reload\" \"cd frontend && npm run dev\"" | 1 |
| concurrently "cd backend && uv run uvicorn main:app --reload --port 8000" "cd frontend && npm run dev" | 1 |
| "dev": "concurrently \"npm run dev:frontend\" \"npm run dev:backend\"". | 1 |
| concurrently \"npm run dev:frontend\" \"npm run dev:backend\" --kill-others --prefix-colors auto | 1 |
| concurrently \"npm run dev -w backend\" \"npm run dev -w frontend\" | 1 |
| concurrently "npm run dev --prefix client" "npm run dev --prefix server" | 1 |
| go run . | 1 |
| "dev": "concurrently -n \"SERVER,CLIENT\" -c \"bgBlue.bold,bgMagenta.bold\" \"npm:server\" \"npm:client\"" | 1 |
| make dev | 1 |
| "npm run server" - Runs the Python backend server. // "npm run client" - Runs the React frontend: | 1 |
| "dev": "concurrently -n backend,frontend -c cyan,magenta \"npm --prefix backend run dev\" \"npm --prefix frontend run dev\"" | 1 |
| docker compose up (I used docker compose to bring up backend and frontend) | 1 |
| "scripts": { "start": "concurrently \"npm run start:backend\" \"npm run start:frontend\"", "start:backend": "cd backend && uv run uvicorn app.main:app --reload --port 8000", "start:frontend": "cd frontend && npm run dev", "test": "echo \"Error: no test specified\" && exit 1" }, | 1 |
| concurrently (Usamos este paquete para correr ambos con npm run dev). | 1 |
| Being allergic to React I decided to use simplified architecture (single server, static JS, no generation, no Node.js required) :))) | 1 |
| concurrently -k -n backend,frontend "npm: start:backend" "npm: start:frontend" | 1 |
| docker-compose down && docker-compose up --build | 1 |
| concurrently \"npm start --prefix server\" \"npm run dev --prefix client\" | 1 |
| "dev": "concurrently -n backend,frontend -c green,blue \"cd backend && uvicorn app.main:app --reload --port 3001\" \"cd frontend && npm run dev\"" | 1 |
| "dev": "concurrently \"cd backend && make run\" \"cd frontend && npm run dev\" --names \"BACKEND,FRONTEND\" --prefix-colors \"blue,green\"" | 1 |
| docker-compose up | 1 |
| { "name": "ai-dev-tools-zoomcamp", "version": "0.1.0", "private": true, "scripts": { "client": "serve -s frontend -l 3000", "server": "python3 backend/app.py", "start": "concurrently \"npm:server\" \"npm:client\"" }, "devDependencies": { "concurrently": "^8.2.0", "serve": "^14.1.2" } } | 1 |
| "dev:all": "concurrently \"npm run dev\" \"npm run dev:backend\" --names \"frontend,backend\" --prefix-colors \"cyan,magenta\"" | 1 |
| python run.py (this is python based app to use streamlit) | 1 |
| concurrently \"npm run backend:dev\" \"npm run frontend:dev\" | 1 |
| Backend: cd code-interview-back && .\.venv\Scripts\Activate && pip install -r requirements.txt && uvicorn app.main:app --reload --port 8000 Frontend: cd code-interview-front && $env:VITE_API_BASE="http://localhost:8000" && npm install && npm run dev (open http://localhost:5173) | 1 |
| concurrently -k -n "SERVER,CLIENT" -c "blue,magenta" "npm run dev --prefix server" "npm run dev --prefix client" | 1 |
| Run the frontend with `npm run dev` and the FastAPI server with `uvicorn backend.main:app --reload`. Use concurrently or docker-compose to run both services together. | 1 |
| In terminal going to respective folder (cd backend/cd frontend) and then doing npm run dev | 1 |
| concurrently \"npm run dev --prefix frontend\" \"npm start --prefix backend\" | 1 |
| "dev": "concurrently -k -n SERVER,CLIENT -c blue,green \"npm:server\" \"npm:client\"", | 1 |
| "concurrently": "^9.1.0". I used npm run dev to run both from the root | 1 |
| concurrently "npm run start:backend" "npm run start:frontend" | 1 |
| npm run dev && uv run main.py | 1 |
| { "scripts": { "dev": "concurrently \"npm run dev --workspace=backend\" \"npm run dev --workspace=frontend\"" } } | 1 |
| concurrently -n \"backend,frontend\" -c \"blue,green\" \"npm run dev:backend\" \"npm run dev:frontend\" | 1 |
| { "scripts": { "dev": "concurrently \"npm run dev:server\" \"npm run dev:client\"" } } | 1 |
| "dev": "concurrently \"npm run dev -w @interview/backend\" \"npm run dev -w @interview/frontend\"" | 1 |
| concurrently \"cd backend && python -m uvicorn main:app --reload --port 8000\" \"cd frontend && npm run dev\" | 1 |
| "concurrently -n \"SERVER,CLIENT\" -c \"bgBlue.bold,bgMagenta.bold\" \"cd server && pnpm dev\" \"cd client && pnpm dev\"" | 1 |
| concurrently \"npm run dev:client\" \"npm run dev:server\ | 1 |
| npm run dev (inside package.json scripts: "concurrently \"npm run start:server\" \"npm run start:client\"") | 1 |
| "dev": "concurrently \"cd frontend && npm start\" \"cd backend && node index.js\"" | 1 |
| "concurrently \"npm run dev:backend\" \"npm run dev:frontend\"" | 1 |
| pnpm dev | 1 |
| concurrently \"npm run dev --prefix server\" \"npm run dev --prefix client\" | 1 |
| "start": "concurrently \"npm run server\" \"npm run client\"" | 1 |
| make fullstack-dev | 1 |
| concurrently \"npm --prefix server run dev\" \"npm --prefix client run dev\" | 1 |
| concurrently "npm run dev --prefix backend" "npm run dev --prefix frontend" | 1 |
| npm run dev (Concurrent) | 1 |
| // package.json { "scripts": { "dev": "concurrently \"npm run dev:client\" \"npm run dev:server\"", "dev:client": "cd frontend && npm run dev", "dev:server": "cd backend && npm run dev" } } | 1 |
| concurrently "npm run dev --prefix client" "node server/index.js" | 1 |
| # 1. Install concurrently npm install --save-dev concurrently # 2. Install all dependencies npm run install:all # 3. Run both services together! npm run dev | 1 |
| "scripts": { "client": "npm run dev --prefix client", "server": "node server.js", "dev": "concurrently \"npm run client\" \"npm run server\"" } | 1 |
| "concurrently \"npm run dev:client\" \"npm run dev:server\"" | 1 |
| npm run dev And inside the root package.json, this is the full script: "dev": "concurrently \"npm run dev --prefix backend\" \"npm run dev --prefix frontend\"" | 1 |
| "concurrently": "^8.2.2" | 1 |
| { "scripts": { "dev": "concurrently \"npm run server\" \"npm run client\"", "server": "cd server && npm run dev", "client": "cd client && npm run dev", "install:all": "npm install && cd server && npm install && cd ../client && npm install", "test": "cd server && npm test" } } | 1 |
| "scripts": { "dev": "concurrently \"npm run server\" \"npm run client\"", "server": "cd server && npm run dev", "client": "cd client && npm run dev" } | 1 |
| docker compose up -d --build | 1 |
| edit 'scripts' section on package.json | 1 |
| "concurrently \"npm:dev:backend\" \"npm:dev:frontend\"" | 1 |
| "dev": "concurrently \"uvicorn backend.main:app --reload --port 8000\" \"react-scripts start\"" | 1 |
| "dev": "concurrently -n backend,frontend -c blue,green \"cd backend && uv run uvicorn app.main:app --reload --port 8000\" \"cd frontend && npm run dev\"" | 1 |
| "dev:all": "concurrently -n \"backend,frontend\" -c \"blue,green\" \"cd ../backend && uv run uvicorn app.main:app --reload\" \"vite\"", | 1 |
| En package.json central: dev script: concurrently "npm:server" "npm:client". | 1 |
| "dev": "concurrently -n \"backend,frontend\" -c \"blue,green\" \"npm run dev:backend\" \"npm run dev:frontend\"", | 1 |
| concurrently \"npm run dev\" \"cd backend && npm run dev\" | 1 |
| concurrently "npm run dev" | 1 |
| "concurrently \"npm run dev:backend\" \"npm run dev:frontend\" \"npm run dev:tests\"" | 1 |
| concurrently "npm run dev:client" "npm run dev:server" | 1 |
| concurrently "cd client && npm run dev" "cd server && npm run dev" | 1 |
| "scripts": { "dev": "concurrently \"npm run dev:backend\" \"npm run dev:frontend\"", "dev:backend": "cd backend && .venv/bin/uvicorn main:app --reload", "dev:frontend": "cd frontend && npm run dev", "test:integration": "cd tests_integration && npx playwright test" }, | 1 |
| "dev": "concurrently \"npm run dev:server\" \"npm run dev:web\"" | 1 |
| ./start-servers.sh | 1 |
| concurrently \"npm run dev --prefix frontend\" \"make run -C backend\ | 1 |
| Add scripts to package.json to run development and tests: - "dev": start Vite dev server - "test": run Jest unit tests - "test:e2e": run Playwright tests Write a README section explaining how to: - install dependencies - run dev server - run unit tests - run integration tests Since backend is mocked, ensure MSW starts automatically in dev mode. | 1 |
| concurrently \"npm:dev:backend\" \"npm:dev:frontend\" | 1 |
| Command: "dev": "concurrently \"npm run server\" \"npm run client\"" | 1 |
| concurrently -k "npm:client" "npm:server" | 1 |
| npm run kill-ports && concurrently --kill-others-on-exit --kill-signal=SIGTERM \"npm --prefix backend run dev\" \"npm --prefix frontend run dev\" | 1 |
| concurrently "npm run dev:server" "npm run dev:client | 1 |
| Backend: Navigate to backend/, run npm install, then npm run dev (port 3000). Frontend: Navigate to frontend/, run npm install, then npm run dev (port 5173). Fullstack: docker-compose up --build. | 1 |
| "concurrently \"npm run dev --prefix backend\" \"npm run dev --prefix frontend -- --host 0.0.0.0\"" | 1 |
| concurrently -n backend,frontend -c blue,green \"npm run dev:backend\" \"npm run dev:frontend\" | 1 |
| concurrently "pnpm run dev:backend" "pnpm run dev:frontend" | 1 |
| "dev": "concurrently \"npm run server\" \"npm run client\" --names \"SERVER,CLIENT\" --prefix-colors \"blue,green\" --kill-others" | 1 |
| "dev": "concurrently -n \"API,WEB\" -c \"bgBlue.bold,bgMagenta.bold\" \"uv run uvicorn backend.main:app --reload --port 8000\" \"npm run dev --prefix frontend\"" | 1 |
| concurrently \"npm run backend\" \"npm run frontend\" --names \"backend,frontend\" --prefix-colors \"blue,green\" | 1 |
| "dev": "concurrently -n backend,frontend -c blue,green \"npm --prefix backend run dev\" \"npm --prefix frontend run dev\"" | 1 |
4. Syntax highlight
234 / 234 correct (100.0%)
| Answer | Count |
|---|---|
| @monaco-editor/react | 37 |
| Monaco Editor | 34 |
| CodeMirror | 9 |
| monaco-editor | 7 |
| react-syntax-highlighter | 7 |
| Monaco Editor (@monaco-editor/react) | 6 |
| @uiw/react-codemirror | 5 |
| highlight.js | 4 |
| CodeMirror 6 | 4 |
| Prism.js | 4 |
| "@monaco-editor/react": "^4.7.0" | 3 |
| codemirror | 3 |
| Monaco | 3 |
| @monaco-editor/react (Monaco Editor) | 3 |
| @monaco-editor/react and monaco-editor | 2 |
| PrismJS | 2 |
| monaco | 2 |
| AI used the built‑in Monaco Editor, which provides syntax highlighting for multiple languages including JavaScript and Python. | 1 |
| monaco-editor/react (version 4.7.0) | 1 |
| CodeMirror https://codemirror.net | 1 |
| Monaco Editor for in-browser code editing and syntax highlighting | 1 |
| The project uses Monaco Editor | 1 |
| codemirror 6 | 1 |
| Monaco Editor via a React wrapper library, @monaco-editor/react | 1 |
| CodeMirror 6 (language packages for JavaScript and Python) | 1 |
| Syntax highlighting library: `@uiw/react-codemirror` (CodeMirror 6 language packs for JavaScript and Python) | 1 |
| Ace Editor (via react-ace v10.1.0) | 1 |
| Use Python and Typescript with React and different config files. | 1 |
| **CodeMirror 6** con las siguientes extensiones: - `@codemirror/lang-javascript` para JavaScript - `@codemirror/lang-python` para Python - `@codemirror/theme-one-dark` para el tema oscuro | 1 |
| Monaco Editor (specifically the React wrapper @monaco-editor/react) | 1 |
| Means? | 1 |
| npm install @monaco-editor/react | 1 |
| concurrently "npm --prefix client run dev" "cd server && uvicorn app.main:application --reload --host 0.0.0.0 --port 8000" | 1 |
| Judge0 | 1 |
| react-syntax-highlighter or prismjs | 1 |
| monaco-editor/react | 1 |
| "codemirror": "^6.0.1", "@codemirror/lang-javascript": "^6.2.4", "@codemirror/lang-python": "^6.2.1", "@codemirror/theme-one-dark": "^6.1.3", | 1 |
| Monaco Editor 4.6.0 | 1 |
| @guolao/vue-monaco-editor | 1 |
| @monaco-editor/react (which wraps monaco-editor) | 1 |
| I used the `streamlit-code-editor` library, which provides a Monaco-based editor with syntax highlighting for Streamlit. | 1 |
| react | 1 |
| CodeMirror (CM6) | 1 |
| Monaco Editor. | 1 |
| "@monaco-editor/react": "^4.6.0" | 1 |
| Monaco Editor (specifically the @monaco-editor/react wrapper) | 1 |
| CodeMirror JS | 1 |
| The application is using @monaco-editor/react, which provides built-in syntax highlighting. | 1 |
| @monaco-editor/react (El editor de VS Code para React). | 1 |
| Highlight.js | 1 |
| CodeMirror editor loaded with Python syntax highlighting | 1 |
| Highlight.js from CDN | 1 |
| It uses the @monaco-editor/react library | 1 |
| `PrismJS` (via `react-simple-code-editor` and `prismjs` package). | 1 |
| streamlit-ace for streamlit app to support python and javascript | 1 |
| CodeMirror v6 (with @codemirror/lang-javascript and @codemirror/lang-python) | 1 |
| JavaScript | 1 |
| Yes—CodeMirror with TypeScript/JS language support and One Dark theme in src/components/CodeEditor.tsx. | 1 |
| Use a browser code editor like Monaco Editor or CodeMirror to provide syntax highlighting for the supported languages. | 1 |
| It uses react-syntax-highlighter. | 1 |
| The library we used for syntax highlighting is Monaco Editor | 1 |
| monaco editor | 1 |
| read claude.md and roadmap.md implement part with code highlighting | 1 |
| @uiw/react-codemirror (with @codemirror/lang-javascript and @codemirror/lang-python) | 1 |
| We are using Monaco Editor (specifically the @monaco-editor/react wrapper) | 1 |
| Pygments | 1 |
| Monaco Editor (via the @monaco-editor/react library) | 1 |
| @codemirror | 1 |
| monaco-editor/react (v4.6.0) | 1 |
| **CodeMirror** (`@uiw/react-codemirror`) | 1 |
| Monaco editor library | 1 |
| Monaco Editor via `@monaco-editor/react`. | 1 |
| Monaco Editor (@monaco-editor/react) version ^4.7.0. It is a React wrapper for the Monaco Editor - the same editor that powers VS Code. | 1 |
| It uses the monaco editor which has syntax highlighting for multiple languages (and is extensible via monarch). | 1 |
| Monaco Editor (via the @monaco-editor/react package) | 1 |
| @uiw/react-codemirror (React wrapper around CodeMirror) with @codemirror/lang-javascript and @codemirror/lang-python. | 1 |
| CodeMirror 5 | 1 |
| The library used for syntax highlighting of both JavaScript and Python is Prism.js. | 1 |
| CodeMirror (version 6) | 1 |
| Monaco Editor (via @monaco-editor/react package) | 1 |
| The app uses Monaco via the @monaco-editor/react package for syntax highlighting. | 1 |
| Monaco Editor (for example via @monaco-editor/react) | 1 |
| pygments (python), react-syntax-highlighter (react - js) | 1 |
| @codemirror/lang-javascript, @codemirror/lang-python | 1 |
| import Editor from '@monaco-editor/react'; | 1 |
| project uses Monaco Editor (@monaco-editor/react version 4.6.0) for syntax highlighting | 1 |
| For the syntax highlighting and the code editor component itself, the library used is @monaco-editor/react. It is a React wrapper around the Monaco Editor, which is the same powerful code editor that powers VS Code. It supports syntax highlighting for many languages out of the box (including JavaScript and Python) without needing extra configuration. | 1 |
| Integrate Monaco Editor (or CodeMirror 6) with multi-language syntax highlighting. Requirements: - Support Python, JavaScript, TypeScript, C++, and Java - Add a language selector in the UI - Lazy-load grammar bundles to reduce bundle size - Ensure syntax highlighting works in editable shared mode Write unit tests for the language selector and initialization logic. | 1 |
| CodeMirror 6 import CodeMirror from '@uiw/react-codemirror'; import { javascript } from '@codemirror/lang-javascript'; import { python } from '@codemirror/lang-python'; import { vscodeDark } from '@uiw/codemirror-theme-vscode'; | 1 |
| Library: Monaco Editor (@monaco-editor/react) or CodeMirror | 1 |
| @codemirror/language | 1 |
| Monaco Editor. It handles all the syntax highlighting automatically based on the language specified (e.g., language="javascript" or language="python"), so no additional syntax highlighting library is used. | 1 |
| Ace Editor (Ajax.org Cloud9 Editor) | 1 |
| Monaco Editor Specifically the @monaco-editor/react package (v4.7.0). | 1 |
| Monaco Editor (@monaco-editor/react v4.7.0) - the React wrapper for the VS Code editor that includes built-in syntax highlighting for JavaScript, Python, and 100+ other languages. | 1 |
| @monaco-editor/react (or CodeMirror) | 1 |
| Monaco editor | 1 |
| standard Python extension for VSCode and Antigravity | 1 |
| Syntax highlighting is handled by the IDE (e.g., VS Code) for JavaScript, Node.js, and Python. In the project, use Markdown code blocks with language tags like ```javascript. No in-app implementation. | 1 |
| @monaco-editor/react (v4.7.0) | 1 |
| Monaco Editor via the community React wrapper @monaco-editor/react | 1 |
| Prism.js via the react-syntax-highlighter library | 1 |
| Added a language selector (JavaScript/Python) in the frontend. The Monaco Editor now updates syntax highlighting based on the selection. | 1 |
| @monaco-editor/react@^4.6.0 | 1 |
| Monaco Editor (specifically: @monaco-editor/react) | 1 |
| Claude Code already incorporated syntax highlighting in the build without my asking; it used Monico Editor (monaco-editor via @monaco-editor/react). | 1 |
5. Python WASM library
234 / 234 correct (100.0%)
| Answer | Count |
|---|---|
| Pyodide | 127 |
| pyodide | 28 |
| Pyodide v0.23.4 | 2 |
| AI ran Pyodide inside a Web Worker (pyodide-worker.js) so Python executes securely in the browser without blocking the UI. | 1 |
| pyodide (version 0.29 .0) | 1 |
| Pyodide https://pyodide.org/en/stable/ for Python | 1 |
| Pyodide (version 0.24.1) | 1 |
| Integrate Python execution using Pyodide. Instructions: - Load Pyodide inside a Web Worker so code execution doesn’t block the UI - Expose a runPython(code) API - Send output and errors back through postMessage - Mock Pyodide in tests to avoid loading WASM Write unit tests for the execution API. | 1 |
| Pyodide (CPython compiled to WebAssembly) to run Python safely in the browser. | 1 |
| In my case I did it using Docker containers, why I thought would be more secure :s my fault, but I'm answering this questions only when I finish de project (and it's working in https://viajesberumen.com). I asked for Ai for this, and mention Pyodide | 1 |
| Python-to-WASM library: `pyodide` | 1 |
| Didn't use it, because I used React for Frontend. | 1 |
| Pyodide (versión 0.24.1) | 1 |
| Allows to run python code directly on the web browser | 1 |
| Monaco Editor | 1 |
| Pyodide (v0.25.0) | 1 |
| Pyodide (client-side Python via WebAssembly) | 1 |
| I used `Pyodide` (via CDN) to execute Python code in the browser using WebAssembly (WASM). | 1 |
| fastapi.middleware.cors | 1 |
| QuickJS (WASM) for JavaScript | 1 |
| Pyodide. | 1 |
| "pyodide": "^0.26.4" | 1 |
| puodide | 1 |
| Pyodide is a port of CPython to WebAssembly/Emscripten, allowing Python code to run entirely in the browser. | 1 |
| @runno/runtime | 1 |
| Pyodide (I end up using piston to support more languages) | 1 |
| I used the following approaches: Python: I used Pyodide. How it works: Pyodide is a port of CPython to WebAssembly (WASM). It downloads a compiled WASM binary of the Python interpreter to your browser, allowing it to execute Python code locally. Why: It is the industry standard for running Python in the browser, supporting many scientific packages (NumPy, Pandas) out of the box. | 1 |
| pyodide (Para ejecutar Python en el navegador). | 1 |
| Pyodide (v0.25.0) - we execute code entirely in the browser using Pyodide, which is a port of CPython to WebAssembly (WASM) | 1 |
| py2wasm/Wasm/Pyodide | 1 |
| It uses the Pyodide library | 1 |
| `Pyodide` (loaded from CDN `https://cdn.jsdelivr.net/pyodide/v0.24.0/full/pyodide.js`). | 1 |
| Pyodide v0.29.0 | 1 |
| Pyodide 0.29.0 | 1 |
| Pyodide for full CPython compiled to WebAssembly. | 1 |
| Im using Pyodide. It’s the most complete Python-in-the-browser WASM runtime (full CPython, rich stdlib, mature packaging). | 1 |
| Leverage Pyodide to execute Python code securely in the browser via WebAssembly. | 1 |
| No additional compiling libraries were required, as I used React with TypeScript for the frontend and Express for the backend. | 1 |
| To execute Python code securely in the browser using WebAssembly, we use Pyodide - a Python distribution that runs in the browser via WebAssembly. | 1 |
| I used piston api to run the code on remote server which is even more secure than wasm when dealing with untrusted code | 1 |
| Pyodide (loaded via CDN) | 1 |
| Pyodine | 1 |
| Pyodide (v0.24.1) | 1 |
| Pyodide is a Python distribution for the browser and Node.js based on WebAssembly. It compiles Python to WebAssembly using Emscripten, allowing Python code to run safely in the browser without server-side execution. | 1 |
| Pyodide (v0.26.1) | 1 |
| Pyodide, implemented this just for python. For other languages, I had chosen Piston API | 1 |
| pyodide (specifically https://cdn.jsdelivr.net/pyodide/v0.24.1/full/pyodide.js) | 1 |
| pyodide version 0.26.4 (npm package) - Python runtime compiled to WebAssembly. | 1 |
| Pyodide (CPython compiled to WASM) | 1 |
| Pyodide 0.24.1 - Python runtime in WebAssembly | 1 |
| npm install pyodide | 1 |
| JavaScript runs in a sandboxed iframe. Python execution uses Pyodide (Python compiled to WebAssembly). | 1 |
| The library used to compile and run Python code in WebAssembly (WASM) directly in the browser is Pyodide. | 1 |
| Uses Pyodide (CPython WASM) loaded from the CDN https://cdn.jsdelivr.net/pyodide/v0.27.0/full/ | 1 |
| I used Pyodide. Pyodide is a port of CPython to WebAssembly/Emscripten. It makes it possible to install and run Python packages in the browser with micropip. | 1 |
| https://pyodide.org | 1 |
| JavaScript: Now executes inside a Web Worker ( /js.worker.js ). Why: This isolates the execution from the main thread, preventing the browser UI from freezing if the user writes an infinite loop. It effectively acts as a client-side sandbox. Features: Includes a 5-second timeout watchdog and captures console.log output safely. Python: Continues to use Pyodide, which runs Python compiled to WASM directly in the browser. Refinement: I updated the code to explicitely label this as WASM execution and added a user-friendly loading message. | 1 |
| Library: Pyodide | 1 |
| react-py | 1 |
| Pyodide (Python in WebAssembly) | 1 |
| Pyodide (v0.23.4) | 1 |
| pyodide version 0.29.0 | 1 |
| No Python WASM library is used. The Python code in 03-django/gemini-forge is server-side (e.g., agent/tools.py). No Pyodide or similar for browser execution. | 1 |
| github.com/tetratelabs/wazero (v1.10.1) | 1 |
| JavaScript: Executed in a Web Worker (safely sandboxed). Python: Executed in the browser using Pyodide (WebAssembly). Added a "Run Code" button to execute and verify output. | 1 |
| py2wasm | 1 |
| https://cdn.jsdelivr.net/pyodide/v0.25.0/full/ | 1 |
6. Base image
234 / 234 correct (100.0%)
| Answer | Count |
|---|---|
| node:20-alpine | 62 |
| node:18-alpine | 44 |
| python:3.12-slim | 10 |
| node:20-slim | 7 |
| python:3.13-slim | 4 |
| node:22-alpine | 3 |
| python:3.11-slim | 3 |
| node:25-alpine | 2 |
| node:20 | 2 |
| node:18-slim | 2 |
| Using Dockerfile is node:22-alpine for the base image | 1 |
| Alpiine | 1 |
| node:18-alpine as the base image for all stages of the build | 1 |
| 461 | 1 |
| for frontend is using: node:20-alpine AS frontend-builder and for backend: python:3.11-slim | 1 |
| For the repo root Dockerfile (multi-stage): Build stage: node:20-slim Runtime stage: python:3.11-slim For the Dockerfile I added: Build stage: node:20-slim Serve stage: nginx:stable-alpine | 1 |
| python:3.12-slim (for fronted and backend) or node:20-alpine (for fronted) | 1 |
| node:20-bullseye | 1 |
| oven/bun:1.1-alpine | 1 |
| Docker base image: `node:20-alpine` | 1 |
| For different parts of the project I used node:22-alpine, python:3.12-slim, and nginx:alpine | 1 |
| FROM node:18-alpine | 1 |
| Done | 1 |
| python:3.11-slim (with a Node 18 alpine stage for the frontend build) | 1 |
| backend: python:3.12-slim, frontend: node:20-alpine, db: postgres:16-alpine | 1 |
| For the Backend: python:3.12-slim. For the Frontend, Build stage: node:20-slim, Production stage: nginx:alpine | 1 |
| Frontend: node:20-alpine ; Backend: python:3.11-slim | 1 |
| node:18-alpine. | 1 |
| used a multi-stage build with two base images: Frontend build stage: node:20-alpine - A lightweight Alpine Linux image with Node.js 20 for building the React frontend Final backend stage: python:3.12-slim - A minimal Debian-based Python 3.12 image for running the FastAPI backend | 1 |
| node:22-slim | 1 |
| FROM node:20-alpine | 1 |
| I used `python:3.9-slim` as the base image for the Dockerfile to keep the image size small. | 1 |
| https://github.com/himanshujohn/ai-dev-tools-zoomcamp/commit/0f8af360ffd9808b5a96597edf790dd9a2b568c4 | 1 |
| node:20-slim and python:3.11-slim. | 1 |
| The base image used in the Dockerfile is node:18-alpine | 1 |
| golang:1.25 | 1 |
| The base image used for the final runtime is python:3.11-slim. The build stage uses node:20-slim. | 1 |
| ghcr.io/astral-sh/uv:python3.12-bookworm-slim, node:20-alpine | 1 |
| Client Build: FROM node:18-alpine AS client-builder. /// Stage 2: Final Image - Base Image: python:3.12-slim ( line 12 ) | 1 |
| node:22-bookworm for the build stage and node:22-bookworm-slim for the runtime stage | 1 |
| python:3.10-slim | 1 |
| node:18-alpine (Usada en el Dockerfile tanto para build como para producción). | 1 |
| python:3.12-slim as the base image | 1 |
| I used a multi-stage build with two base images: Stage 1 (Frontend Build): node:20-slim Used to install dependencies and build the React application. slim variant keeps the build environment lightweight. Stage 2 (Final Runtime): python:3.11-slim This is the final image that runs the application. It contains the Python runtime for FastAPI and the built static files from Stage 1. It also copies the uv binary from ghcr.io/astral-sh/uv:latest for fast package management. | 1 |
| The base image used was node:18-alpine for build stage and nginx:alpine for production | 1 |
| `python:3.11-slim` (used in the multi-stage Dockerfile for the final runtime image). | 1 |
| node:20-alpine for frontend and python:3.12-slim-bookworm for backend | 1 |
| node:20-bullseye-slim | 1 |
| node:18-alpine for building React frontend & python:3.10-slim for running FastAPI backend | 1 |
| FROM python:3.10-slim | 1 |
| Use python:3.12-slim as the backend base image; for the frontend, build with node (line 20) and serve from nginx:alpine. | 1 |
| Use a Python base image such as python:3.11-slim (or tiangolo/uvicorn-gunicorn-fastapi:python3.11-slim) as the foundation for your Dockerfile. | 1 |
| node:25-alpine for frontend and backend whereas postgres:16 is for database | 1 |
| The Dockerfile uses node:18-alpine as the base image | 1 |
| python:3.11-slim (for the final stage, node:20-slim for the build stage) | 1 |
| node:18-alpine & python:3.12-slim-bookworm | 1 |
| node:22-alpine AS frontend-build and python:3.12-slim | 1 |
| read claude.md and roadmap.md implement part with containeresation | 1 |
| frontend: node:18-alpine , backend : python:3.9-slim | 1 |
| # Multi-stage Dockerfile for Online Coding Interview App # Stage 1: Build frontend FROM node:18-alpine AS frontend-builder WORKDIR /app/client # Copy frontend package files COPY client/package*.json ./ # Install frontend dependencies (including dev deps for build) RUN npm ci --legacy-peer-deps # Copy frontend source COPY client/ ./ # Build frontend for production RUN npm run build # Stage 2: Build backend FROM node:18-alpine AS backend-builder WORKDIR /app/server # Copy backend package files COPY server/package*.json ./ # Install backend dependencies (including dev deps for build) RUN npm ci --legacy-peer-deps # Copy backend source COPY server/ ./ # Build backend TypeScript RUN npm run build # Stage 3: Production image FROM node:18-alpine AS production WORKDIR /app # Copy backend package files and install production dependencies only COPY server/package*.json ./ RUN npm ci --only=production --legacy-peer-deps # Copy built backend from builder stage COPY --from=backend-builder /app/server/dist ./dist # Copy built frontend from builder stage COPY --from=frontend-builder /app/client/dist ./public # Expose the port EXPOSE 3000 # Set NODE_ENV to production ENV NODE_ENV=production # Start the application CMD ["node", "dist/index.js"] | 1 |
| node:lts-alpine | 1 |
| Base image: node:18-alpine | 1 |
| sha256:8c88953466eecc75cc096f6ea5370f32063605c2abf8dbc12252066e2bda5de3 | 1 |
| I used a multi-stage build with 2 different base images. (1) node:18-alpine (lightweight Node.js 18 on Alpine Linux) to build the frontend. (2) python:3.11-slim (Debian-based Python 3.11) to run the backend and serve the compiled frontend static files. | 1 |
| node:18 | 1 |
| node:18-alpine or node:20-alpine | 1 |
| node:16-alpine | 1 |
| For the Dockerfile, I used multi-stage builds with these base images: Backend: python:3.11-slim Frontend build: node:18-alpine The final image is based on python:3.11-slim which contains both backend and frontend artifacts. | 1 |
| python:3.12-slim , node:20-alpine - nginx:alpine | 1 |
| node:20-alpine and python:3.11-slim | 1 |
| FROM python:3.12-slim | 1 |
| node:18-bullseye | 1 |
| I used node:20-alpine as the base image for my Dockerfile | 1 |
| multi-stage build with the following base images: Runtime Stage (Final Image): python:3.13-slim This keeps the final image size small by avoiding the heavy Node.js runtime in production. Build Stage: node:20-slim Used only temporarily to compile the React frontend into static assets. | 1 |
| oven/bun:1 | 1 |
| I used node:18-alpine as the base image for both the build and production stages in the Dockerfile . | 1 |
| Create a Dockerfile for the frontend using node:18-alpine as the base image. Requirements: - Install dependencies - Build the Vite project - Serve the built files using a lightweight server (e.g., serve or nginx) - Keep image small and production-ready Write instructions in README for building and running the Docker image. | 1 |
| FROM python:3.13-slim AS production | 1 |
| Base image: node:18-alpine (or similar Node.js image) | 1 |
| python:3.9-slim | 1 |
| node:20-alpine - a lightweight Node.js 20 image based on Alpine Linux. | 1 |
| docker build -t coding-platform . | 1 |
| nginx:alpine, alpine:latest | 1 |
| frontend- node:20-alpine backend- python:3.12-slim | 1 |
| Frontend Dockerfile: node:18-alpine. Backend Dockerfile: node:18-alpine. Used in docker-compose.yml for fullstack deployment. | 1 |
| node:18-bullseye-slim | 1 |
| Build: docker build -t interview-platform . Run: docker run -p 3001:3001 interview-platform | 1 |
| ubuntu:24.04 | 1 |
| node:20-slim & python:3.12-slim | 1 |
7. Deployment
234 / 234 correct (100.0%)
| Answer | Count |
|---|---|
| Render | 98 |
| render | 18 |
| render.com | 8 |
| Render.com | 6 |
| Railway | 6 |
| Google Cloud Run | 3 |
| fly.io | 2 |
| https://render.com/ | 2 |
| coolify & self hosted vps | 1 |
| https://codeinterview-282676864546.us-central1.run.app | 1 |
| https://interview-platform-f5n3.onrender.com/ | 1 |
| Ready for deployment on Render (or Railway). Select "Docker" as the runtime environment in your deployment provider. | 1 |
| Deployment service: Render (container web service) | 1 |
| Done via hook https://github.com/anton-goran/snake-game-cosmic/actions/runs/20076636903/job/57592688033 | 1 |
| In progress | 1 |
| Render, https://vncode.onrender.com | 1 |
| Render, https://onlinecodinginterviews.onrender.com/ | 1 |
| cannot deploy on render because it ask for payments / try do deploy in YAndexCloud | 1 |
| AWS | 1 |
| Render (Docker-based deployment of the full app – backend + built frontend in one container). | 1 |
| I chose **Streamlit Community Cloud** for deployment because it offers a seamless integration with GitHub and is optimized for Streamlit applications. Alternatively, **Render** or **Heroku** can be used with the Dockerfile provided. | 1 |
| Railway until I hit the free limit, and then I tried Render | 1 |
| Fly.io. | 1 |
| Render. It worked great and was very easy to set up. | 1 |
| https://coding-interview-platform-byuo.onrender.com/ | 1 |
| Render (render.com) | 1 |
| I've used render. This is the link: https://coding-interview-app-rnv5.onrender.com | 1 |
| Render (Desplegado como Web Service usando Docker). | 1 |
| AWS CDK | 1 |
| I used Render to deploy the app | 1 |
| `Render` (configured via `render.yaml`). | 1 |
| https://coding-interview-platform-08jm.onrender.com/ | 1 |
| AWS Lambda | 1 |
| Render - I created a private repository with the same contents but with render.yaml in root | 1 |
| Deploy the combined app to Render using the Dockerfile; provide the Render service URL after deployment. | 1 |
| I used render for backend and Netlify for frontend deployment | 1 |
| Render (using the provided render.yaml configuration) | 1 |
| Google cloud | 1 |
| read claude.md and roadmap.md implement part with deployment | 1 |
| Render (using Docker runtime) | 1 |
| Render (or Railway) | 1 |
| railway | 1 |
| render https://coding-interview-platform-4fbx.onrender.com/ | 1 |
| https://live-code-interview-app.onrender.com | 1 |
| Render service, deployed at: https://online-coding-interviews-exp.onrender.com | 1 |
| Render: https://dtc-ai-dev-tools.onrender.com/ | 1 |
| node:18-alpine | 1 |
| Koyeb hosting service: https://embarrassing-ketti-kaiquanmah-50a82a1c.koyeb.app/ | 1 |
| https://codeview.ama24.my/. | 1 |
| Azure Container Apps (ACA) | 1 |
| Had an unused oci free-tier vm running, so used that (added as a subdomain to the domain I have from one.com). | 1 |
| Docker | 1 |
| I did not deploy to a service, but Copilot recommended me either Railway or Render for both being "free". | 1 |
| git push heroku master | 1 |
| Render Blueprint | 1 |
| I chose to deploy the application to Fly.io, using the Dockerfile created in the project. Fly.io supports Docker-based deployments and allows running both the frontend build and the backend server inside a single container. | 1 |
| node:18-alpine python:3.12-slim | 1 |
| https://railway.app/ | 1 |
| I deployed the application using Docker on Heroku. | 1 |
| Render (o Fly.io como alternativa) | 1 |
| Can be deployed to Render, Heroku, AWS, GCP, Azure, or any Node.js hosting service | 1 |
| web service | 1 |
| I deployed the application using Render, creating a single Docker-based Web Service that runs both the frontend and backend in one container. | 1 |
| Render: https://coding-interview-platform-sq8n.onrender.com | 1 |
| https://ai-dev-tools-zoomcamp-2025-ne9c.onrender.com/ | 1 |
| Render for this project due to its seamless Docker support. | 1 |
| Create deployment instructions for Vercel. Steps: - Detect Vite frontend automatically - Configure environment variables (even if mocked) - Set build command: npm run build - Set output directory: dist/ - Add notes for continuous deployment from GitHub Create a DEPLOYMENT.md file with full instructions. | 1 |
| Render with fastAPI | 1 |
| Popular options: Render, Railway, Fly.io (all have free tiers with WebSocket support) | 1 |
| https://homework2.fly.dev/ | 1 |
| Fly.io | 1 |
| render (Deployed app : https://coding-interview-platform-zd1g.onrender.com/) | 1 |
| Render (https://render.com) | 1 |
| Github -> github action -> cloud run | 1 |
| hostinger | 1 |
| Use Docker Compose: docker-compose up --build. Frontend served via Nginx, backend via Express. Adapt for cloud platforms with built images and .env variables. | 1 |
| I deployed using digitalocean.com, i had an account for that so i used a droplet. In my case I used Docke for answering each language | 1 |
| https://online-coding-interview-4ir9.onrender.com | 1 |
| Render (as documented in your README) | 1 |
| Vercel | 1 |
Calculated: 9 February 2026, 08:37