Leveraging AI for sustainable agile practices: strategies for green software development

Pooja R. Nair and Krishnan Ramanathan

Chapter 22 in Handbook on Artificial Intelligence and the Circular Economy, 2026, pp 364-378 from Edward Elgar Publishing

Abstract: As the digital world keeps growing, its influence on the planet keeps growing too. Software development, particularly Agile methodologies, prioritizes speed and adaptability, often at the expense of energy efficiency. Green Software Development (GSD) is about closing that gap by actually mixing greener practices into software engineering, with really clean code crafting that also considers the environment. Artificial intelligence really ups the ante on making Agile work more sustainable. It does this by fine-tuning resource use and helping bring down energy consumption bills, and also by making predictions more accurate. This chapter explores how AI-driven strategies can support sustainability in Agile software development, focusing on key areas such as energy-efficient coding, cloud resource management, and predictive maintenance. Through a synthesis of literature reviews, case study research—especially in hubs like Mumbai, Pune, and Gurugram—and qualitative insights, we dig into the challenges and opportunities for AI adoption into green software practices. The findings highlight how AI can help balance the need for rapid software development with environmental responsibility, leading to more sustainable digital solutions.

Keywords: Agile methods; Green software development; Artificial Intelligence; AI; Sustainable Agile practices; AI-powered sustainability; Environmental effect (search for similar items in EconPapers)
Date: 2026
ISBN: 9781035343379
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