Git Code Review Agent 🤖

An intelligent code review and fix agent powered by LangGraph and OpenAI. This tool automatically analyzes your repository, identifies issues, searches for solutions, and implements fixes - all while providing detailed explanations of its actions.

Features ✨

• 🔍 Automated Code Review: Analyzes code quality, patterns, and potential issues
• 🛠️ Automatic Fix Implementation: Implements solutions for identified problems
• 🔎 Solution Search: Uses SerpAPI to find relevant documentation and best practices
• 📊 Git Integration: Full Git command support for repository analysis
• 📝 Detailed Reporting: Provides comprehensive explanations of all changes made

Requirements 📋

• Python 3.8+
• OpenAI API key
• SerpAPI key
• Git installed and configured

Installation 🚀

1. Clone the repository:

git clone https://github.com/travis-burmaster/Git-Code-Review-Agent.git
cd Git-Code-Review-Agent

2. Install required packages:

pip install -r requirements.txt

3. Set up your environment variables:

python -m venv venv
source venv/bin/activate

pip install langgraph langchain-openai langchain-community

export OPENAI_API_KEY='your-openai-api-key'
export SERPAPI_API_KEY='your-serpapi-api-key'

Usage 💻

Basic Usage

from code_review_agent import run_code_review

messages = run_code_review(
    user_input="Please review the code in src/main.py and fix any performance issues",
    repo_path="/path/to/your/repo",
    openai_api_key="your-openai-api-key",
    serpapi_api_key="your-serpapi-api-key"
)

Example Commands

1. Review specific file:

"Please review src/main.py for potential performance issues"

2. Analyze entire repository:

"Perform a full repository review focusing on security best practices"

3. Fix specific issues:

"Fix memory leaks in the data processing module"

How It Works 🔄

1. Request Analysis: The agent processes your review request
2. Repository Scan: Checks repository status and relevant files
3. Code Analysis: Reviews code for issues and improvements
4. Solution Search: If needed, searches for best practices and solutions
5. Fix Implementation: Applies necessary changes
6. Verification: Verifies changes and their impact
7. Reporting: Provides detailed explanation of actions taken

Configuration ⚙️

You can customize the agent's behavior by modifying the following parameters:

• Model selection (default: gpt-4-1106-preview)
• Temperature setting for response generation
• Custom tool configurations
• Git command preferences

Contributing 🤝

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License 📄

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

Acknowledgments 🙏

• OpenAI for their powerful language models
• LangGraph for the workflow framework
• SerpAPI for search capabilities
• All contributors who help improve this tool

Support 💬

If you have any questions or run into issues, please open an issue in the GitHub repository.