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“氛围编码”重塑产品设计实践，该模式下产品团队成员以自然语言表达设计意图，AI将其转化为功能原型与代码。尽管应用迅速普及，但关于氛围编码如何重构产品开发流程与协作的研究仍显不足。基于对企业、初创公司与学术机构的22名产品团队成员的访谈，本研究揭示氛围编码遵循构思、生成、调试与评审的四阶段工作流。该模式能加速迭代周期、激发创意灵感并降低参与门槛。然而，参与者同时指出代码可靠性不足、系统集成困难及AI过度依赖等挑战。研究发现效率驱动型原型设计（“实现正确设计”）与反思性实践（“确立正确意图”）之间存在张力，这在团队内部引发了信任分配、责任归属与社会评价的新不对称性。通过构建AI辅助产品设计与开发的责任型人机协作框架，本研究为理解氛围编码时代的技能退化、所有权归属、信息披露及创意保护机制提供了深层见解。