Generative AI Models in Coding and Software Development

Generative AI models, such as OpenAI’s Codex and Google’s BERT, have revolutionized software development by automating code generation, bug detection, code completion, and refactoring. These models use natural language processing (NLP) techniques, deep learning, and neural networks to assist developers in enhancing productivity and improving code quality. This paper explores the applications of generative AI in software development, analyzes current advancements, and evaluates their implications for the future of coding. The study highlights how generative AI can reduce human error, increase efficiency, and enable the next generation of intelligent development tools.

Publication Details

Journal
PhilPapers (PhilPapers Foundation)
Published
2025-01-01
Primary Topic
Software Engineering Research
Type
article
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article

Generative AI Models in Coding and Software Development

PhilPapers (PhilPapers Foundation)
Software Engineering Research
article

Generative AI Models in Coding and Software Development

article en

Abstract

Generative AI models, such as OpenAI’s Codex and Google’s BERT, have revolutionized software development by automating code generation, bug detection, code completion, and refactoring. These models use natural language processing (NLP) techniques, deep learning, and neural networks to assist developers in enhancing productivity and improving code quality. This paper explores the applications of generative AI in software development, analyzes current advancements, and evaluates their implications for the future of coding. The study highlights how generative AI can reduce human error, increase efficiency, and enable the next generation of intelligent development tools.

PhilPapers (PhilPapers Foundation)
Openalex Percentile: Top 36%
Software Engineering Research
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Generative AI Models in Coding and Software Development · PhilPapers (PhilPapers Foundation) (2025) | TGRS Research Map | TGRS