产品团队中的Vibe编码：重新配置AI辅助的工作流、原型设计与协作
Vibe Coding in Product Teams: Reconfiguring AI-Assisted Workflows, Prototyping, and Collaboration
- Netherlands and MIT Media Lab（荷兰和MIT媒体实验室）
- Notion Labs（Notion实验室）
- Collov AI
- Cornell University（康奈尔大学）
- Goizueta Business School, Emory University（埃默里大学戈伊兹埃塔商学院）
- Centrum Wiskunde & Informatica, The Netherlands and Utrecht University, The Netherlands（荷兰代尔夫特理工大学和乌得勒支大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文研究Vibe编码如何重塑产品开发流程与协作，揭示其四阶段工作流及带来的效率与创造力提升，同时指出代码不可靠、集成困难等挑战。
AI中文摘要：
生成式AI通过
英文摘要：
Generative AI is reshaping product design practices through "vibe coding," where product team members express intent in natural language and AI translates it into functional prototypes and code. Despite rapid adoption, little research has examined how vibe coding reconfigures product development workflows and collaboration. Drawing on interviews with 22 product team members across enterprises, startups, and academia, we show how vibe coding follows a four-stage workflow of ideation, generation, debugging, and review. This accelerates iteration, supports creativity, and lowers participation barriers. However, participants reported challenges of code unreliability, integration, and AI over-reliance. We find tensions between efficiency-driven prototyping ("intending the right design") and reflection ("designing the right intention"), introducing new asymmetries in trust, responsibility, and social stigma within teams. Through a responsible human-AI collaboration lens for AI-assisted product design and development, we contribute a deeper understanding of deskilling, ownership and disclosure, and creativity safeguarding in the age of vibe coding.
