GENERATIVE ARTIFICIAL INTELLIGENCE IN THE TRANSFORMATION OF SOFTWARE DEVELOPMENT: IMPACTS, CHALLENGES, AND FUTURE PERSPECTIVES

Abstract

Generative artificial intelligence represents one of the most significant technological transformations of the 21st century, particularly in the field of software development. This work presents a comprehensive bibliographic research on the impacts, challenges, and future perspectives of generative AI in software development. Through analysis of academic and professional literature, this study examines how tools based on large language models are revolutionizing traditional programming practices, from automatic code generation to assistance in code reviews. The research addresses four main dimensions: the technical foundations of generative AI, its practical applications in development, measurable impacts on productivity and quality, and emerging ethical and technical challenges. The results indicate that while generative AI offers substantial benefits in terms of efficiency and accessibility, issues related to intellectual property, technological dependence, and quality of generated code require careful attention. This study contributes to the current understanding of the field and provides directions for future research, highlighting the need for ethical frameworks and adequate evaluation methodologies for this new era of software development.