commit-genie 1.0.0

A CLI tool that writes your git commit messages.

🤖 AI Commit: The CLI That Writes Your Commits

Stop writing "wip", "fix", or "updates" today. Let AI analyze your code and write the perfect commit message while you sip your coffee.

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⚡ Why Use This?

You just spent 3 hours debugging a race condition. The last thing you want to do is summarize 15 files of changes into a string of text.

AI Commit reads your staged changes, understands the context, and generates a structured, meaningful commit message instantly.

• ✨ Intelligent: Distinguishes between a feat, fix, and chore.
• 🎭 Chameleon Mode: Switch tones from "Hardcore Developer" (technical jargon) to "Project Manager" (business value) instantly.
• 📏 Strict or Casual: Enforce Conventional Commits for your repo, or use natural language for personal projects.

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📦 Installation

Prerequisites

• Python 3.8+
• Git
• A Google Gemini API Key (It's free!)

Get Started

1. Clone the repo:

   pip install ai-commit
   

   Use pip3 if you are on Mac/Linux

   💡 Tip: To update to the latest version later, just run:

   pip install --upgrade ai-commit-cli

2. Configure your Key:

   ai-commit config --key "YOUR_GEMINI_API_KEY"
   

   💡 Tip: If you skip step 3, don't worry! The first time you run ai-commit commit, the tool will detect the missing key and ask you to paste it securely.

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🚀 Usage

The "I'm Feeling Lucky" Workflow

Stage your files and let the AI do the rest.

git add .
ai-commit commit

The tool will generate a message, show you a preview, and ask for confirmation before committing.

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🎛️ Power User Controls

Don't like the default output? Override everything on the fly.

Flag	Description	Example	Available Options
--type	Force a specific commit type	--type fix	feat, fix, docs, chore, refactor, etc.
--tone	Change the AI persona	--tone manager	developer (default), manager
--style	Change the message format	--style natural	conventional (default), natural
--model	Use a smarter/different model	--model gemini-2.5-pro	gemini-2.5-flash, gemini-2.5-pro
--auto	YOLO Mode: Commit without asking	--auto	—

🎭 The "Persona" Feature

This is where the magic happens. You can configure ai-commit to sound exactly how you need it to.

👨‍💻 Tone: Developer (Default)

Focuses on technical implementation details, function names, and logic.

Message: feat(auth): implement JWT validation in middleware

👔 Tone: Manager

Focuses on user impact, business value, and high-level summaries.

Message: feat(auth): enable secure user login to improve system safety

Try it:

```bash
ai-commit commit --tone manager
```

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⚙️ Configuration

Set it and forget it. Your preferences are saved globally in ~/.ai-commit-config.json.

Set your favorite model: ai-commit config --model gemini-2.5

Set your default style: ai-commit config --style conventional

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📂 Project Structure

If you want to hack on the source code, here is how the magic is organized:

.
├── setup.py             # The installer
└── ai_commit/           # The brains
    ├── cli.py           # Command line interface (Click)
    ├── model.py         # The "Mega Prompt" & Logic
    ├── git_reader.py    # Reads your staged diffs
    └── config.py        # Manages your API keys/settings

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🤝 Contributing

Got a better prompt? A new persona?

1. Fork the Project

2. Create your Feature Branch (git checkout -b feature/AmazingFeature)

3. Commit your Changes (ai-commit commit) — See what I did there?

4. Push to the Branch (git push origin feature/AmazingFeature)

5. Open a Pull Request

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🔮 Future Scope

We are just getting started! Here is what we are planning for v2.0:

• 🧠 Multi-LLM Support: Add support for OpenAI (GPT-4), Anthropic (Claude), and local Ollama models for privacy-focused users.
• 📜 Auto-Changelog: Automatically generate a CHANGELOG.md file based on your commit history.
• 🌍 Multi-Language: Generate commit messages in languages other than English (Spanish, French, Chinese, etc.).
• 🖥️ GUI Mode: A simple desktop app for users who prefer clicking over typing commands.
• 🔍 pre-commit Hook Integration: Official support for the pre-commit framework to run checks automatically.

Have an idea? Open an Issue and let's discuss it!

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