Tweax - Real-Time Code Performance Optimizer

Tweax is a VS Code extension that optimizes Python code in real time, providing performance improvements, complexity analysis, and suggestions. It integrates with a Flask server powered by the Gemini API to enhance code efficiency dynamically.

🚀 Features

✅ Real-time Code Optimization – Improves code performance dynamically.
✅ Performance Analysis – Displays CPU and memory usage.
✅ Time & Space Complexity – Provides Big-O analysis for the optimized code.
✅ Explanations – Understand the optimizations with detailed insights.
✅ Seamless VS Code Integration – Optimize code directly within the editor.

📌 Installation

1️⃣ Install Tweax Locally

Clone the Repository:

git clone https://github.com/D-Vika-shan/Tweax.git
cd Tweax

Install Dependencies:

npm install

Package the Extension:

vsce package

Install the Extension in VS Code:

code --install-extension tweax-0.0.1.vsix

⚙️ Usage

1️⃣ Start the Flask Server

Ensure Python and Flask are installed, then run:

python code_optimizer.py

2️⃣ Optimize Code in VS Code

• Select a piece of Python code.
• Right-click and choose "Optimize Selection".
• View the optimized version, complexity analysis, and performance scores.

🛠 Configuration

Environment Variables (.env)

Create a .env file in the project root and add your Gemini API Key:

GENAI_API_KEY=your_api_key_here

🔧 Development

Running the Extension in Debug Mode

1. Open the project in VS Code.
2. Press F5 and select Run Extension.
3. A new VS Code instance will launch with Tweax enabled.

Linting & Testing

npm run lint   # Linting
npm run test   # Run tests

📜 License

This project is licensed under the MIT License.