https://github.com/likhithsai2580/ai-github-maintainer
Fixing Issues & Making PRs
https://github.com/likhithsai2580/ai-github-maintainer
ai github github-issues machine-learning pull-requests python
Last synced: 4 months ago
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Fixing Issues & Making PRs
- Host: GitHub
- URL: https://github.com/likhithsai2580/ai-github-maintainer
- Owner: Likhithsai2580
- License: mit
- Created: 2024-09-09T10:44:59.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-11T18:46:50.000Z (9 months ago)
- Last Synced: 2025-04-20T14:48:30.554Z (6 months ago)
- Topics: ai, github, github-issues, machine-learning, pull-requests, python
- Language: Python
- Homepage:
- Size: 61.5 KB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Security: security_scanner.py
Awesome Lists containing this project
README
# 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](#features)
2. [Setup](#setup)
3. [Configuration](#configuration)
4. [Usage](#usage)
5. [Web Interface](#web-interface)
6. [Customizing the LLM Provider](#customizing-the-llm-provider)
7. [Plugin System](#plugin-system)
8. [Contributing](#contributing)
9. [License](#license)
10. [Advanced Usage](#advanced-usage)
11. [Troubleshooting](#troubleshooting)
12. [FAQ](#faq)
13. [Roadmap](#roadmap)
14. [Changelog](#changelog)
15. [Security](#security)
16. [Performance Optimization](#performance-optimization)
17. [Integrations](#integrations)
18. [Community and Support](#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
```
6. To enable the app to run automatically every week and update all repositories present on the user account, ensure the `schedule` library is installed and 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=
```
## 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](plugins_dev.md).
## Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Advanced Usage
For advanced usage options, including custom workflows, API integration, and automated reporting, refer to the [Advanced Usage Guide](advanced_usage.md).
## Troubleshooting
For common issues and their solutions, check the [Troubleshooting Guide](troubleshooting.md).
## FAQ
For frequently asked questions, see the [FAQ document](faq.md).
## Roadmap
For upcoming features and improvements, check our [Roadmap](roadmap.md).
## Changelog
For a detailed list of changes between versions, see the [Changelog](CHANGELOG.md).
## 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](performance_optimization.md).
## Integrations
AI GitHub Maintainer integrates with various tools and services. For more information, see the [Integrations Guide](integrations.md).
## Community and Support
- Join our [Discord server](https://discord.gg/aigithubmaintainer) for community discussions and support
- Follow us on [Twitter](https://twitter.com/aigithubmaintainer) for the latest updates and tips
- Contribute to the project on [GitHub](https://github.com/Likhithsai2580/aigithubmaintainer)
---
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.