Green Coder: Code Sustainability Optimizer

An AI-powered VS Code extension that helps you write more sustainable and energy-efficient code by analyzing your code for performance and environmental impact.

A VS Code extension that helps developers write more sustainable and energy-efficient code by analyzing their code for performance and environmental impact.

🌱 Why Green Coder?

As developers, we write code that runs on millions of devices worldwide, consuming significant amounts of energy. Green Coder helps you understand and reduce your code's environmental impact by identifying inefficient patterns and suggesting optimizations.

✨ Features

• Real-time Analysis: Get instant feedback on your code's sustainability as you type
• Multi-language Support: Currently supports JavaScript, TypeScript, and Python (with more languages coming soon)
• Smart Suggestions: Get actionable suggestions to improve your code's efficiency
• Green Score: See an overall sustainability score for your code
• Performance Metrics: Understand your code's CPU and memory usage impact
• Carbon Footprint Estimation: Get an estimate of your code's carbon footprint

Installation

1. Open VS Code
2. Go to Extensions view (Ctrl+Shift+X or Cmd+Shift+X)
3. Search for "Code Sustainability Optimizer"
4. Click Install
5. Reload VS Code when prompted

Usage

The extension runs automatically when you open a supported file. You'll see a status bar item showing your current file's "Green Score".

Commands

• Analyze Current File for Sustainability: Manually analyze the current file
• Analyze Workspace for Sustainability: Analyze all supported files in the workspace

Supported Languages

• JavaScript
• TypeScript
• Python

Configuration

The following settings are available:

• codeSustainabilityOptimizer.enableRealTimeAnalysis: Enable/disable real-time analysis (default: true)
• codeSustainabilityOptimizer.analysisLevel: Set the analysis level ("basic", "standard", or "advanced") (default: "standard")

How It Works

The extension analyzes your code for common performance and efficiency issues that can impact energy consumption. It provides:

1. Code Analysis: Identifies inefficient patterns and potential optimizations
2. Performance Metrics: Estimates CPU and memory usage
3. Carbon Footprint: Provides an estimate of the environmental impact
4. Actionable Suggestions: Offers specific recommendations to improve your code

Contributing

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

License

MIT

Acknowledgements

This extension was inspired by the growing need for sustainable software development practices and the environmental impact of computing.