The Role of AI Tools Across the Software Development Lifecycle
Abstract: This paper examines the growing influence of Artificial Intelligence (AI) tools across the Software Development Lifecycle (SDLC), exploring their measurable contributions in coding, testing, documentation, code review, and design. Through a case study involving Cline, an AI-powered development assistant, the paper highlights up to 80% efficiency gains across various engineering tasks. It further outlines quantitative and qualitative outcomes, including developer productivity, cognitive load reduction, and improved code quality. The study also presents a governance framework to manage security, ethical use, and over-reliance. In doing so, the paper aims to guide organizations in effectively embedding AI into their development ecosystems for sustainable, insight-driven transformation.
Keywords: AI in Software Engineering, Software Development Lifecycle, Code Automation, AI Copilot, Developer Productivity
How to Cite?: Kunal Kumar, "The Role of AI Tools Across the Software Development Lifecycle", Volume 14 Issue 11, November 2025, International Journal of Science and Research (IJSR), Pages: 646-648, https://www.ijsr.net/getabstract.php?paperid=SR251108130321, DOI: https://dx.doi.org/10.21275/SR251108130321