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Exploring the intersection of Generative AI and Software Development

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arxiv 2312.14262 v1 pith:KHWY2GBJ submitted 2023-12-21 cs.SE cs.AI

Filipe Calegario , Vanilson Burégio , Francisco Erivaldo , Daniel Moraes Costa Andrade , Kailane Felix , Nathalia Barbosa , Pedro Lucas da Silva Lucena , César França This is my paper
classification cs.SEcs.AI
keywords generativesoftwaredevelopmentcapabilitiescodeengineeringintersectiontechniques
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In the ever-evolving landscape of Artificial Intelligence (AI), the synergy between generative AI and Software Engineering emerges as a transformative frontier. This whitepaper delves into the unexplored realm, elucidating how generative AI techniques can revolutionize software development. Spanning from project management to support and updates, we meticulously map the demands of each development stage and unveil the potential of generative AI in addressing them. Techniques such as zero-shot prompting, self-consistency, and multimodal chain-of-thought are explored, showcasing their unique capabilities in enhancing generative AI models. The significance of vector embeddings, context, plugins, tools, and code assistants is underscored, emphasizing their role in capturing semantic information and amplifying generative AI capabilities. Looking ahead, this intersection promises to elevate productivity, improve code quality, and streamline the software development process. This whitepaper serves as a guide for stakeholders, urging discussions and experiments in the application of generative AI in Software Engineering, fostering innovation and collaboration for a qualitative leap in the efficiency and effectiveness of software development.

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