CodeOptimizer

CodeOptimizer is an innovative, AI-powered tool that automates task planning, progress tracking, and code optimization for software development projects. By leveraging a multi-agent system, CodeOptimizer provides intelligent insights, reviews, and suggestions to streamline your development workflow, ensuring optimal performance, efficiency, and quality.

🚀 Features

• Task Planning: Automatically generates detailed project plans from user-provided task documentation.
• Progress Tracking: Monitors GitHub commits and tracks the completion of tasks in real-time.
• Code Review & Optimization: Analyzes committed code, detects issues, and suggests improvements for efficiency and performance.
• Continuous Feedback: Provides actionable feedback after each commit, helping you improve your code incrementally.
• AI-Powered Workflow: Utilizes a multi-agent system to manage various project tasks, making the entire development cycle smarter and more efficient.

🔥 Tech Stack

• Frontend: Electron.js, React.js, Webpack
• Backend: FastAPI (or Flask), LangGraph (Multi-Agent System), GitHub API
• AI/ML: Custom agents built with LangGraph, leveraging modern AI techniques
• Deployment: Docker, CI/CD with GitHub Actions (Optional)

🛠️ Usage

1. Upload a task document to CodeOptimizer.
2. The system will generate a task plan based on the document.
3. Link your GitHub repository with the system.
4. As you work on the project and commit changes, CodeOptimizer will track progress and suggest improvements.
5. Review the feedback and iteratively improve your project as the task progresses.

🎯 Roadmap

• Task 1 2025: Complete core multi-agent system integration
• Task 2 2025: Develop UI/UX for frontend interface
• Task 3 2025: Expand AI task optimization capabilities
• Task 4 2025: Open source release with community contributions

📈 Contributing

We welcome contributions to CodeOptimizer. Whether you're interested in bug fixes, adding new features, or improving documentation, feel free to fork the repository, create a branch, and submit a pull request.

Steps to contribute:

1. Fork the repo
2. Create a new branch (git checkout -b feature-name)
3. Make your changes
4. Commit your changes (git commit -m 'Add new feature')
5. Push to your branch (git push origin feature-name)
6. Create a pull request