The GREEN-CODE framework enables energy-aware code generation in large language models, creating more sustainable AI-powered development tools.

• Reduces energy consumption of LLM-based code generation tools
• Optimizes performance-energy tradeoffs for software development tasks
• Addresses growing concerns about AI's environmental impact
• Provides practical solutions for sustainable AI development

This research matters for engineering teams building AI tools, offering concrete methods to reduce carbon footprint without sacrificing code quality in increasingly popular AI coding assistants like GitHub Copilot.

GREEN-CODE: Learning to Optimize Energy Efficiency in LLM-based Code Generation