生成式AI正在改变编程方式，提升效率并降低门槛。
Generative AI and the Transformation of Software Development Practices
- 通过对话式编程和智能体协作，实现高效代码生成
- 实测显示开发周期缩短，非专业人员也能参与编码
- 适合关注AI辅助开发的工程师与团队管理者
生成式AI正重塑软件设计、编写与维护方式。大语言模型（LLMs）推动新型开发模式兴起，包括以对话为中心的编程、' vibe coding' 及智能体编程，显著提升生产力并拓宽参与门槛。本文分析AI辅助技术对软件工程实践的影响，探讨信任、责任与技能转型等议题。研究涵盖迭代式对话开发、多智能体系统、动态提示编排及通过模型上下文协议（MCP）集成的应用。基于案例研究与行业数据，揭示其优势（更快开发周期、编码民主化）与挑战（模型可靠性与成本）。文章还提出使用AI所需的新角色、技能与最佳实践，强调负责任且高效的AI应用路径。
原文摘要 · Abstract (English)
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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