Generative AI and the Transformation of Software Development Practices
October 12, 2025 Β· Declared Dead Β· π arXiv.org
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Authors
Vivek Acharya
arXiv ID
2510.10819
Category
cs.SE: Software Engineering
Cross-listed
cs.AI
Citations
2
Venue
arXiv.org
Last Checked
4 months ago
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.
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