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.
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Check out the YouTube Development Tutorial for more!
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Check out the Substack Post Tutorial for more!
🤯 All these tutorials are generated entirely by AI by crawling the GitHub repo!
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SmolaAgents - Build tiny AI agents that punch way above their weight class!
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Clone this repository
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Install dependencies:
pip install -r requirements.txt
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Generate a complete codebase tutorial by running the main script:
python main.py https://github.com/username/repo --include "*.py" "*.js" --exclude "tests/*" --max-size 50000repo_url- URL of the GitHub repository (required)-n, --name- Project name (optional, derived from URL if omitted)-t, --token- GitHub token (or set GITHUB_TOKEN environment variable)-o, --output- Output directory (default: ./output)-i, --include- Files to include (e.g., ".py" ".js")-e, --exclude- Files to exclude (e.g., "tests/" "docs/")-s, --max-size- Maximum file size in bytes (default: 100KB)
The application will crawl the repository, analyze the codebase structure, generate tutorial content, and save the output in the specified directory (default: ./output).
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I built using Agentic Coding, the fastest development paradigm, where humans simply design and agents code.
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The secret weapon is Pocket Flow, a 100-line LLM framework that lets Agents (e.g., Cursor AI) build for you
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Check out the Step-by-step YouTube development tutorial:
