Vibe Coding作为软件开发中意图调解的重新配置：定义、影响与研究议程
Vibe Coding as a Reconfiguration of Intent Mediation in Software Development: Definition, Implications, and Research Agenda
- Ruhr University Bochum（波鸿鲁尔大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文定义了vibe coding作为一种软件开发范式，探讨其意图调解机制、影响及未来研究方向。
AI中文摘要：
软件开发正经历根本性的转变，随着vibe coding的普及，大量当代代码库现在由人工智能（AI）生成。快速采用与有限概念理解之间的脱节突显了对这一新兴范式的探究需求。基于意图视角和历史分析，我们将vibe coding定义为一种软件开发范式，其中人类和生成式人工智能（GenAI）通过自然语言对话进行协作流，共同创建软件制品，将开发者意图的调解从确定性指令转向概率性推理。通过意图调解，我们指的是开发者将概念目标转化为计算系统可执行表示的基本过程。我们的结果表明，vibe coding在人与机器之间重新分配认知劳动，将专业知识从技术实现转向协作协调。我们识别了关键机会，包括民主化、加速和系统杠杆，同时存在诸如黑箱代码库、责任缺口和生态系统偏见等风险。我们最后提出涵盖人类、技术及组织方向的研究议程，以指导对这一范式的未来研究。
英文摘要：
Software development is undergoing a fundamental transformation as vibe coding becomes widespread, with large portions of contemporary codebases now being generated by Artificial Intelligence (AI). The disconnect between rapid adoption and limited conceptual understanding highlights the need for an inquiry into this emerging paradigm. Drawing on an intent perspective and historical analysis, we define vibe coding as a software development paradigm where humans and Generative AI (GenAI) engage in collaborative flow to co-create software artifacts through natural language dialogue, shifting the mediation of developer intent from deterministic instruction to probabilistic inference. By intent mediation, we refer to the fundamental process through which developers translate their conceptual goals into representations that computational systems can execute. Our results show that vibe coding redistributes epistemic labor between humans and machines, shifting expertise from technical implementation toward collaborative orchestration. We identify key opportunities, including democratization, acceleration, and systemic leverage, alongside risks such as black-box codebases, responsibility gaps, and ecosystem bias. We conclude with a research agenda spanning human-, technology-, and organization-centered directions to guide future investigations of this paradigm.
