GENERATIVE ARTIFICIAL INTELLIGENCE IN THE TRANSFORMATION OF SOFTWARE DEVELOPMENT PROCESSES: OPPORTUNITIES, CHALLENGES, AND IMPACTS ON PRODUCTIVITY
DOI:
https://doi.org/10.63330/armv1n5-016Keywords:
Generative Artificial Intelligence, Software Development, Productivity, Code Automation, Digital TransformationAbstract
Generative artificial intelligence has emerged as a disruptive technology in the field of software development, revolutionizing traditional programming practices and offering new possibilities to increase developer productivity. This article investigates the impact of generative AI tools, such as GitHub Copilot, ChatGPT, and CodeT5, on software development processes, analyzing their contributions to automating code generation, documentation, and testing. Through a systematic literature review and analysis of practical cases, the study examines opportunities for workflow optimization, technical and ethical challenges associated with adopting these technologies, and their effects on the quality of software produced. Results indicate that while generative AI demonstrates significant potential to increase developer productivity by up to 55% in specific tasks, its implementation presents challenges related to technological dependence, intellectual property issues, and the need to maintain fundamental technical competencies. The study concludes that effective integration of generative AI in software development requires a balanced approach that maximizes technological benefits while preserving essential professional skills and ensuring the quality and security of produced code.
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