docify-ai 0.1.0

An AI-powered README.md generator for local projects.

Docify AI 🚀

Instantly generate beautiful, comprehensive README.md files for your local projects using the power of AI.

What is Docify?

Every great project needs great documentation, but writing it is often a tedious, manual process. Docify is a command-line tool that automates this entire workflow. It intelligently scans your project's file structure and source code, understands what your project does, and uses a powerful language model to generate a high-quality README.md file in seconds.

Stop writing docs and start shipping code.

Key Features ✨

• 🤖 AI-Powered Content Generation: Leverages large language models to write human-like, technical documentation.

• 📂 Intelligent Code Analysis: Scans your entire project directory to understand its purpose, technologies, and structure.

• ⚙️ Simple Command-Line Interface: Generate a complete README with a single command: docify.

• 🚀 Fast and Efficient: Go from a messy project folder to a polished README in under a minute.

• 🔧 Customizable: Easily specify the project path and output file name.

Installation

Docify is published on PyPI and can be installed on any machine with Python 3.8+ using pip.

pip install docify-ai

Usage

Using Docify is incredibly simple.

1. Set Your API Key

First, you need to make your Google Gemini API key available as an environment variable. This is a one-time setup per machine. You can get a key from the Google AI Studio for free.

macOS / Linux:

export GEMINI_API_KEY='your-secret-api-key' (To make this permanent, add the line to your ~/.zshrc or ~/.bashrc file.)

Windows:

$Env:GEMINI_API_KEY="your-secret-api-key"

2. Run Docify

Navigate to any project directory you want to document and run the command:

docify That's it! The tool will scan the current directory and create a README.md file with the AI-generated content.

Command-Line Options

You can also specify the path to your project and the desired output file.

• --path: The root directory of the project to document. Defaults to the current directory (.).

• --output: The name of the output file. Defaults to README.md.

Example:

docify --path /path/to/my-other-project --output DOCS.md

How It Works

Docify is built with a clean, modular architecture:

1. Scanner (scanner.py): Traverses the specified project directory, ignoring unnecessary files (like .git, venv), and aggregates all source code into a single context string.

2. Generator (generator.py): Takes the context string and feeds it to the Google Gemini API via LangChain, using a carefully crafted prompt to generate the Markdown content.

3. CLI (cli.py): Provides the user-friendly command-line interface using argparse, orchestrating the scanner and generator to deliver the final README.md file.

Contributing

Contributions are welcome! If you have ideas for new features, bug fixes, or improvements, please open an issue or submit a pull request on our GitHub repository.

License

This project is licensed under the MIT License. See the LICENSE file for details.