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AI Documentation Agent

🤖 Intelligent, Self-Improving Documentation Generator

An autonomous AI agent that generates, critiques, and refines technical documentation for code projects

Overview

AI Documentation Agent is a powerful tool that uses iterative AI refinement to create comprehensive, high-quality documentation for your codebase automatically.

Key Features

  • Iterative Refinement

    AI critiques its own output and improves through multiple refinement cycles

    Learn more

  • AI-Powered

    Uses Ollama LLM for intelligent code analysis and documentation generation

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  • Multi-Format

    Export documentation in Markdown, HTML, or PDF formats

    Output formats

  • Smart Detection

    Automatically detects project type and prioritizes important files

    Project detection

Quick Start

# Install dependencies
pip install -r config/requirements.txt

# Configure environment
cp config/.env.example .env

# Run the agent
python run.py --directory ./your-project

That's it!

The agent will analyze your code, generate documentation, and refine it through multiple iterations.

How It Works

graph LR
    A[Analyze Codebase] --> B[Generate Draft]
    B --> C[AI Critique]
    C --> D{Quality OK?}
    D -->|No| E[Refine]
    E --> C
    D -->|Yes| F[Save Documentation]

    style A fill:#e1f5ff
    style B fill:#fff3e0
    style C fill:#f3e5f5
    style D fill:#e8f5e9
    style E fill:#fff9c4
    style F fill:#c8e6c9

Installation Methods

pip install -r config/requirements.txt
python run.py --help

cd build
build.bat  # Windows
./build.sh  # Linux/Mac

cd build
docker-compose run --rm ai-doc-agent

pip install .
ai-doc-agent --help

Example Output

The agent generates comprehensive documentation including:

  • ✅ Project Overview
  • ✅ Architecture & Design
  • ✅ Key Components
  • ✅ Development Setup
  • ✅ Deployment Guide
  • ✅ API Reference
  • ✅ Best Practices

What Makes It Different?

Feature AI Doc Agent Traditional Tools
Self-Improvement ✅ Iterative refinement ❌ Single pass
AI-Powered ✅ Intelligent analysis ❌ Template-based
Quality Control ✅ Self-critique ❌ No validation
Context-Aware ✅ Project type detection ❌ Generic output

Use Cases

Open Source Projects

Generate professional README files and documentation for GitHub repositories

Team Projects

Maintain up-to-date internal documentation automatically

Client Deliverables

Produce polished technical specifications and API docs

Learning & Portfolios

Document your learning projects comprehensively

Next Steps

Requirements

  • Python 3.8+
  • Ollama (running locally or remote)
  • wkhtmltopdf (optional, for PDF generation)

License

MIT License - See LICENSE file for details

Made with ❤️ using AI-powered development

GitHub • Installation • Documentation