<i>Ever stared at a new codebase written by others feeling completely lost? This tutorial shows you how to build an AI agent that analyzes GitHub repositories and creates beginner-friendly tutorials explaining exactly how the code works.</i>
This is a tutorial project of [Pocket Flow](https://github.com/The-Pocket/PocketFlow), a 100-line LLM framework. It crawls GitHub repositories and build a knowledge base from the code. It analyzes entire codebases to identify core abstractions and how they interact, and transforms complex code into beginner-friendly tutorials with clear visualizations.
- [AutoGen Core](https://the-pocket.github.io/Tutorial-Codebase-Knowledge/AutoGen%20Core) - Build AI teams that talk, think, and solve problems together like coworkers!
- [Browser Use](https://the-pocket.github.io/Tutorial-Codebase-Knowledge/Browser%20Use) - Let AI surf the web for you, clicking buttons and filling forms like a digital assistant!
- [FastAPI](https://the-pocket.github.io/Tutorial-Codebase-Knowledge/FastAPI) - Create APIs at lightning speed with automatic docs that clients will love!
- [LangGraph](https://the-pocket.github.io/Tutorial-Codebase-Knowledge/LangGraph) - Design AI agents as flowcharts where each step remembers what happened before!
- [NumPy Core](https://the-pocket.github.io/Tutorial-Codebase-Knowledge/NumPy%20Core) - Master the engine behind data science that makes Python as fast as C!
- [Pydantic Core](https://the-pocket.github.io/Tutorial-Codebase-Knowledge/Pydantic%20Core) - Validate data at rocket speed with just Python type hints!
- [Requests](https://the-pocket.github.io/Tutorial-Codebase-Knowledge/Requests) - Talk to the internet in Python with code so simple it feels like cheating!