THE TRANSFORMATIVE IMPACTS OF GENERATIVE AI IN SOFTWARE DEVELOPMENT PRACTICES

The rapid evolution of Generative Artifical Intelligence (GenAI) infrastructure is revolutionizing software development practices and is poised to fundamentally change the landscape of programming and project management. This paper explores the significant effects of GenAI within software engineering, particularly its ability to automate complex coding tasks, improve collaborative workflows and significantly boost innovation. Leveraging GenAI tools such as automated code generators and advanced testing systems enables software development teams to significantly speed up development cycles, enhance code quality and reduce human error. However, these technological advancements also introduce new challenges, including security concerns, ethical issues like AI-generated code, and the need for new skills among software engineers. Through in-depth analysis of real world examples, this research aims to provide an overview of GenAI's impact on software development practices, and highlights both its transformative potential and the challenges to its effective integration. This study also proposes frameworks to address its ethical implications and enhance its integration into established methodologies. The research is designed to equip practitioners and policymakers with insights to effectively shape the future of software development in an AI-driven era.