AI GitHub Maintainer

AI GitHub Maintainer is an advanced tool that leverages artificial intelligence to automate and enhance GitHub repository maintenance. It supports multiple LLM providers and offers a wide range of features to streamline your development workflow.

Table of Contents

1. Features
2. Setup
3. Configuration
4. Usage
5. Web Interface
6. Customizing the LLM Provider
7. Plugin System
8. Contributing
9. License
10. Advanced Usage
11. Troubleshooting
12. FAQ
13. Roadmap
14. Changelog
15. Security
16. Performance Optimization
17. Integrations
18. Community and Support

Features

• Enhanced Code Analysis

  • AI-powered feature generation and implementation
  • Code optimization and complexity analysis
  • Style suggestions and code explanations
  • Code duplication detection
  • Automated refactoring suggestions
  • Dead code elimination
  • Performance hotspot identification

• Automated Documentation Generation

  • Inline code documentation
  • README updates
  • API documentation
  • Changelog management

• Security Vulnerability Scanning

  • Dependency vulnerability checks
  • Static code analysis for security issues
  • Secret detection in code
  • License compliance checks

• Performance Profiling

  • Code execution time analysis
  • Memory usage profiling
  • Database query optimization suggestions
  • Caching recommendations

• Automated Dependency Updates

  • Version compatibility checks
  • Automated pull requests for updates
  • Changelog summaries for updated dependencies

• Advanced Issue Triaging

  • AI-powered label suggestions
  • Priority assignment
  • Duplicate issue detection
  • Automated assignee suggestions

• AI-Powered Code Review

  • Style and best practice suggestions
  • Potential bug detection
  • Performance improvement recommendations
  • Security vulnerability identification

• Release Management

  • Semantic versioning suggestions
  • Automated changelog generation
  • Release note drafting
  • GitHub release creation

• Customizable Reporting

  • Repository health metrics
  • Code quality trends
  • Contributor statistics
  • Performance benchmarks

• Integration with External Services

  • Slack notifications
  • Jira issue creation
  • CI/CD pipeline integration
  • Custom webhook support

Setup

1. Clone the repository:

   git clone https://github.com/Likhithsai2580/ai-github-maintainer.git
   cd ai-github-maintainer
   

2. Set up a virtual environment and install dependencies:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   pip install -r requirements.txt
   

3. Copy env.example to .env and fill in your API keys and configuration:

   cp env.example .env
   

4. Customize the config.yaml file to suit your needs.

5. Run the application:

   python main.py
   

Configuration

The config.yaml file allows you to customize various aspects of the AI GitHub Maintainer. Refer to the comments in the file for detailed explanations of each setting.

Usage

The AI GitHub Maintainer runs on a schedule defined in config.yaml. By default, it performs weekly maintenance tasks on all accessible repositories.

You can also trigger maintenance manually using the web interface or by running:

python main.py --repo=<repository_name>

Web Interface

Access the web interface at http://localhost:5000. Features include:

• Manual maintenance triggering
• Real-time logs and updates
• Repository activity reports
• Plugin management interface

Customizing the LLM Provider

To change the LLM provider, update the LLM_PROVIDER and LLM_MODEL variables in your .env file. Supported options include OpenAI, Anthropic, Groq, and Gemini.

Plugin System

AI GitHub Maintainer supports custom plugins to extend its functionality. For detailed information on creating and using plugins, refer to the Plugin Development Guide.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

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

Advanced Usage

For advanced usage options, including custom workflows, API integration, and automated reporting, refer to the Advanced Usage Guide.

Troubleshooting

For common issues and their solutions, check the Troubleshooting Guide.

FAQ

For frequently asked questions, see the FAQ document.

Roadmap

For upcoming features and improvements, check our Roadmap.

Changelog

For a detailed list of changes between versions, see the Changelog.

Security

We take security seriously. If you discover any security-related issues, please email security@aigithubmaintainer.com instead of using the issue tracker.

Performance Optimization

For tips on optimizing AI GitHub Maintainer performance, see the Performance Optimization Guide.

Integrations

AI GitHub Maintainer integrates with various tools and services. For more information, see the Integrations Guide.

Community and Support

• Join our Discord server for community discussions and support
• Follow us on Twitter for the latest updates and tips
• Contribute to the project on GitHub

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By leveraging the power of AI and automation, AI GitHub Maintainer helps development teams maintain high-quality, secure, and efficient code repositories with minimal manual intervention.