Build AI Agents to Explain Code: Pocket Flow Empowers Beginner-Friendly Tutorials

Pocket Flow, a 100-line LLM framework, empowers users to create AI agents that analyze GitHub repositories and generate beginner-friendly tutorials explaining how the code works, fostering an accessible learning environment for coding novices.

• The repository provides a tutorial on how to build an AI agent that analyzes GitHub repositories and creates beginner-friendly tutorials explaining how the code works.
• It utilizes the Pocket Flow framework, a 100-line LLM framework that allows agents to build other agents.
• The project includes instructions for cloning the repository, installing dependencies, setting up the LLM, and generating codebase tutorials from either a GitHub repository or a local directory.