Generative AI in Streamlining Software Development Life Cycles Within Programming Environments

Abstract

The advent of Generative Artificial Intelligence (AI) has revolutionized various domains, including software development. This paper explores the integration of Generative AI within software development life cycles (SDLC), emphasizing its role in enhancing efficiency, reducing errors, and facilitating innovation. By analyzing current methodologies, tools, and case studies, the research elucidates how Generative AI can automate code generation, optimize testing processes, and improve project management. The findings indicate significant improvements in development speed and code quality, highlighting the transformative potential of Generative AI in programming environments. The study also addresses challenges such as ethical considerations, dependency risks, and the need for human oversight, providing a comprehensive overview of the implications of adopting Generative AI in SDLC.