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Automate software documentation using AI (Gemini & K2 Think).

Project description

doced

Automate software documentation using AI reasoning.

doced is a CLI tool that scans your codebase, interviews you with intelligent questions, and generates comprehensive documentation including README, tutorials, architecture diagrams, and PDFs.

Features

  • 🔍 Smart Codebase Scanning - Respects .gitignore and intelligently filters files
  • 🤖 Multi-AI Approach - Uses Gemini for architecture mapping and K2 Think for deep reasoning
  • 💬 Interactive Interview - AI generates targeted questions based on your code
  • 📚 Comprehensive Docs - Generates README, tutorials, architecture docs, and PDFs
  • 🎨 Customizable Styles - Choose between Corporate/Creative tones and Brief/Detailed levels
  • 📊 Mermaid Diagrams - Automatically generates architecture and flow diagrams

Installation

pip install doced

Development Setup

# Clone the repo
git clone https://github.com/qmamab/doced.git
cd doced

# Install dependencies
pip install -r requirements.txt

Usage

1. Initialize (First Time Setup)

doced init

You'll be prompted for:

  • Gemini API Key
  • K2 Think API Key
  • Documentation Style (Corporate/Creative)
  • Detail Level (Brief/Detailed)

2. Generate Documentation

# In your project directory
doced create

The tool will:

  1. Scan your codebase
  2. Analyze architecture with Gemini
  3. Generate intelligent questions with K2 Think
  4. Interview you interactively
  5. Create comprehensive documentation in docs/
    • README.md
    • TUTORIAL.md
    • ARCHITECTURE.md
    • Documentation.pdf

API Configuration

Gemini API

K2 Think API

  • Model: MBZUAI-IFM/K2-Think
  • Endpoint: https://api.k2think.ai/v2/chat/completions
  • Rate Limit: 20 RPM
  • Get your key: Contact K2 Think team

Project Structure

doced/
├── pyproject.toml        # Dependencies and metadata
└── src/
    └── doced/
        ├── main.py       # CLI and orchestration
        └── scanner.py    # Code scanning logic

Configuration

Your config is stored at ~/.doced/config.json. You can re-run doced init to update it.

Troubleshooting

Import Errors

Make sure you're in the virtual environment:

source .venv/bin/activate

API Errors

  • Verify your API keys are correct
  • Check rate limits (K2 Think: 20 RPM)
  • Ensure you're using the correct model names

License

MIT

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