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.

翻译：生成式AI正通过“氛围编程”（vibe coding）重塑产品设计实践，产品团队成员以自然语言表达意图，AI则将其转化为功能原型与代码。尽管该技术被迅速采用，但关于氛围编程如何重构产品开发工作流与协作的研究仍十分有限。通过对22位来自企业、初创公司和学术机构的产品团队成员进行访谈，我们揭示了氛围编程遵循四阶段工作流：构思、生成、调试与审查。这加速了迭代、支持了创意，并降低了参与门槛。然而，参与者报告了代码不可靠性、集成问题以及对AI过度依赖等挑战。我们发现，在效率驱动的原型设计（“旨在设计正确的方案”）与反思性设计（“旨在设计正确的意图”）之间存在张力，并在团队内部引发了信任、责任与社会污名的新不对称性。通过以负责任的人机协作视角审视AI辅助的产品设计与开发，我们深化了对氛围编程时代技能退化、所有权与披露问题以及创意保护机制的理解。