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AI-powered code documentation generator
Top 53.0% on SourcePulse
This project provides an AI-powered system for automatically analyzing codebases and generating comprehensive documentation, targeting developers and teams seeking to improve code understanding and onboarding. It leverages a multi-agent architecture and supports multiple LLM providers for enhanced code comprehension and automated documentation creation.
How It Works
The system employs a multi-agent architecture where specialized AI agents perform distinct code analysis tasks, including code structure, data flow, dependency, request flow, and API analysis. This modular approach allows for focused processing and potentially more accurate, detailed documentation. The generated documentation is then assembled into comprehensive README files, with features for concurrent processing and GitLab integration for automated workflows.
Quick Start & Requirements
uv sync
or pip install -e .
..env.sample
to .env
and config_example.yaml
to .ai/config.yaml
.uv run src/main.py analyze --repo-path .
and uv run src/main.py document --repo-path .
.Highlighted Details
Maintenance & Community
The project is built with pydantic-ai
and integrates with Langfuse for observability. No specific community links or contributor details are provided in the README.
Licensing & Compatibility
Licensed under the MIT License, permitting commercial use and integration with closed-source projects.
Limitations & Caveats
The project requires Python 3.13, which is a recent version and may not be universally adopted. The README does not detail performance benchmarks or specific limitations of the AI analysis.
1 week ago
Inactive