The use of Artificial Intelligence (AI) in software engineering has made changes in development paradigms, including the applications of ML. Artificial Intelligence (AI) has significantly transformed modern software engineering by automating development tasks, improving code quality, and accelerating the software development lifecycle (SDLC). AI-driven tools can generate code, detect bugs, perform automated testing, and optimize system performance. The integration of machine learning and natural language processing into development environments enables intelligent assistance for developers. Recent research highlights that AI not only enhances productivity but also introduces new challenges such as model Interpretability, security risks, and reliability of generated code. This paper explores the role of AI in software engineering, its applications across the SDLC, benefits, limitations, and future research directions.
Sarika Sambhaji Jedhe (Thu,) studied this question.