ChatGPT as a Tool for Programming Assistance and Code Development

Abstract

Abstract The integration of generative artificial intelligence, specifically large language models like ChatGPT, is instigating a foundational shift in software engineering practices and pedagogy. This nano review critically examines its emergent role as a collaborative coding assistant, evaluating its transformative potential in augmenting developer productivity, debugging, and code documentation. It synthesizes empirical findings on how these tools enhance efficiency and lower barriers to entry for novices, while simultaneously dissecting their critical limitations—including the generation of erroneous or insecure code ("hallucinations"), a lack of deep contextual reasoning, and significant risks related to software security and intellectual property. The analysis posits that the future of programming lies in a synergistic "co-pilot" paradigm, where the strategic augmentation of human expertise with AI-generated suggestions necessitates robust verification protocols, enhanced security practices, and a renewed focus on cultivating fundamental computational thinking skills. Keywords: ChatGPT, generative AI, software development, programming assistance, code generation, AI pair programming, developer productivity, software security, computational thinking

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