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How AI Agents Actually Work — Inside Claude Code

An interactive course that teaches how AI coding agents work under the hood, by reverse-engineering Claude Code's architecture.

🚀 Start the Course →

What You'll Learn

Module Topic Key Concept
01 The Big Idea The model IS the agent — everything else is the harness
02 The Engine The while True loop + tool dispatch that powers every agent
03 Staying on Track Todo tracking, nag reminders, and subagent delegation
04 Knowledge & Memory Two-layer skill loading + three-layer context compression
05 Persistence File-based task system with dependency graphs
06 The Team JSONL mailboxes, autonomous task claiming, worktree isolation

Who This Is For

Vibe coders — people who build software by instructing AI coding tools in natural language. You don't need a CS degree. This course assumes zero technical background and explains every concept in plain English.

After completing this course, you'll be able to:

  • Understand what happens under the hood when you use AI coding tools
  • Make better architectural and tech stack decisions
  • Detect when AI gets something wrong
  • Debug issues and break out of AI bug loops
  • Use the precise technical vocabulary to communicate with AI agents effectively

Interactive Features

  • 🎬 Animated data flows — watch requests travel between components step by step
  • 💬 Group chat simulations — see agents "talk" to each other in iMessage-style conversations
  • 📖 Code ↔ English translations — real code on the left, plain English on the right
  • 🧪 Quizzes — scenario-based questions that test application, not memorization
  • 📚 Glossary tooltips — hover any technical term for a plain-English definition

Credits

This course was generated from two open-source projects:

  • shareAI-lab/learn-claude-code — The source codebase and documentation. 12 progressive sessions that reverse-engineer Claude Code's harness engineering patterns.
  • zarazhangrui/codebase-to-course — The skill that transforms any codebase into an interactive HTML course with scroll-based navigation, animated visualizations, and embedded quizzes.

Local Development

No build step needed. Just open index.html in your browser:

git clone https://github.com/washi4/learn-claude-code-course.git
cd learn-claude-code-course
open index.html

License

MIT

About

Interactive course teaching how AI coding agents work — reverse-engineering Claude Code's architecture. Generated from shareAI-lab/learn-claude-code + zarazhangrui/codebase-to-course.

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