Homework 1: Introduction

Score: 12 = 6 (questions) + 1 (FAQ) + 5 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://www.anthropic.com/engineering/claude-code-best-practices
• https://www.djangoproject.com/start/
• https://www.promptingguide.ai/
• https://www.youtube.com/watch?v=SUysp3sJHbA&list=PL4cUxeGkcC9g4YJeBqChhFJwKQ9TRiivY
• https://code.claude.com/docs/en/jetbrains

Homework 2: End-To-End Project

Score: 15 = 7 (questions) + 1 (FAQ) + 7 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://ainativedev.io/news/customizing-claude-code-what-i-learned-from-losing-everything
• https://www.siddharthbharath.com/claude-code-the-complete-guide/
• https://code.claude.com/docs/en/vs-code
• https://github.com/anthropics/claude-quickstarts
• https://github.com/anthropics/claude-cookbooks
• https://agents.md/
• https://github.com/hesreallyhim/awesome-claude-code

Homework 3: MCP

Score: 12 = 6 (questions) + 1 (FAQ) + 5 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://code.claude.com/docs/en/mcp
• https://www.anthropic.com/news/model-context-protocol
• https://vivekpandit.medium.com/how-to-build-an-mcp-server-8fe627994c73
• https://www.datacamp.com/tutorial/building-mcp-server-client-fastmcp
• https://modelcontextprotocol.io/docs/develop/build-server

Project Attempt 2

Project score: 26 Passed

Score: 39 = 26 (project) + 9 (peer review) + 3 (learning in public / project) + 0 (learning in public / peer review) + 1 (FAQ)

Project URL: View project

Learning in public links: Show

• https://github.com/steveyegge/beads
• https://www.ibm.com/think/topics/ai-agent-memory
• https://adasci.org/blog/short-term-vs-long-term-memory-in-ai-agents