Turns Codebase into Easy Tutorial

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.

This is a tutorial project of Pocket Flow, 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.

Example Tutorials for Popular GitHub Repositories!

AutoGen Core - Build AI teams that talk, think, and solve problems together like coworkers!
Browser Use - Let AI surf the web for you, clicking buttons and filling forms like a digital assistant!
Celery - Supercharge your app with background tasks that run while you sleep!
Click - Turn Python functions into slick command-line tools with just a decorator!
Crawl4AI - Train your AI to extract exactly what matters from any website!
CrewAI - Assemble a dream team of AI specialists to tackle impossible problems!
DSPy - Build LLM apps like Lego blocks that optimize themselves!
FastAPI - Create APIs at lightning speed with automatic docs that clients will love!
Flask - Craft web apps with minimal code that scales from prototype to production!
LangGraph - Design AI agents as flowcharts where each step remembers what happened before!
LevelDB - Store data at warp speed with Google's engine that powers blockchains!
MCP Python SDK - Command cloud infrastructure with Python instead of clicking buttons!
NumPy Core - Master the engine behind data science that makes Python as fast as C!
OpenManus - Program robot hands that move with human-like precision and grace!
Pydantic Core - Validate data at rocket speed with just Python type hints!
Requests - Talk to the internet in Python with code so simple it feels like cheating!
SmolaAgents - Build tiny AI agents that punch way above their weight class!