Generative AI and the Transformation of Software Development Practices

Generative AI is reshaping how software is designed, written, and maintained. Advances in large language models (LLMs) are enabling new development styles - from chat-oriented programming and 'vibe coding' to agentic programming - that can accelerate productivity and broaden access. This paper examines how AI-assisted techniques are changing software engineering practice, and the related issues of trust, accountability, and shifting skills. We survey iterative chat-based development, multi-agent systems, dynamic prompt orchestration, and integration via the Model Context Protocol (MCP). Using case studies and industry data, we outline both the opportunities (faster cycles, democratized coding) and the challenges (model reliability and cost) of applying generative AI to coding. We describe new roles, skills, and best practices for using AI in a responsible and effective way.

Publication Details

Journal
ArXiv.org
Published
2025-10-12
Primary Topic
Software Engineering Techniques and Practices
Type
article
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article

Generative AI and the Transformation of Software Development Practices

ArXiv.org
Software Engineering Techniques and Practices
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Generative AI and the Transformation of Software Development Practices

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Abstract

Generative AI is reshaping how software is designed, written, and maintained. Advances in large language models (LLMs) are enabling new development styles - from chat-oriented programming and 'vibe coding' to agentic programming - that can accelerate productivity and broaden access. This paper examines how AI-assisted techniques are changing software engineering practice, and the related issues of trust, accountability, and shifting skills. We survey iterative chat-based development, multi-agent systems, dynamic prompt orchestration, and integration via the Model Context Protocol (MCP). Using case studies and industry data, we outline both the opportunities (faster cycles, democratized coding) and the challenges (model reliability and cost) of applying generative AI to coding. We describe new roles, skills, and best practices for using AI in a responsible and effective way.

ArXiv.org
Openalex Percentile: Top 34%
Software Engineering Techniques and Practices
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Generative AI and the Transformation of Software Development Practices · ArXiv.org (2025) | TGRS Research Map | TGRS