Best Practices

This research presents a comprehensive framework for developing environmentally sustainable software, with a particular focus on AI systems and applications. The study identifies key principles and practices for green software engineering, including energy-aware design patterns, efficient coding practices, and sustainability metrics. The authors provide concrete guidelines and case studies demonstrating how to implement sustainable software development practices throughout the entire software lifecycle.

This practical guide provides concrete recommendations for implementing sustainable computing practices in AI research and development. The research outlines specific strategies for reducing energy consumption and carbon emissions throughout the AI development lifecycle, from experiment design to deployment. The authors present case studies and empirical evidence demonstrating the effectiveness of various sustainability practices in real-world AI projects.