AI Copilot for the Modern Developer : Leveraging GenAI in Software Development

Anuja Nagpal

doi:10.32628/CSEIT241051056

Authors

Anuja Nagpal University of South Florida, USA Author

DOI:

https://doi.org/10.32628/CSEIT241051056

Keywords:

AI Copilots, Generative AI, Software Development, Large Language Models, Reinforcement Learning

Abstract

This paper explores the transformative impact of AI copilots on software development, powered by Generative AI and Large Language Models. It examines how these tools enhance developer productivity, improve code quality, and democratize software development. The study delves into the core technologies behind AI copilots, including code synthesis and contextual learning, and discusses their integration with development environments. The paper also investigates the role of reinforcement learning in continuously improving AI copilots and analyzes their impact on software development practices. Additionally, it explores future prospects, including more sophisticated natural language understanding and improved cross-language support. Throughout, the paper emphasizes how AI copilots are reshaping the landscape of software engineering, potentially leading to more efficient, higher-quality, and innovative software solutions.

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