为何人类指导在协作式节奏编码中至关重要
Why Human Guidance Matters in Collaborative Vibe Coding
- Cornell University（康奈尔大学）
- Princeton University（普林斯顿大学）
- Massachusetts Institute of Technology（麻省理工学院）
- University of Cambridge（剑桥大学）
- New York University（纽约大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本研究通过实验表明，人类在协作式节奏编码中提供有效高层指令，而AI指令常导致性能下降，混合系统在人类主导指令时表现最佳，强调人类指导的重要性。
AI中文摘要：
编写代码曾是人类社会将抽象思想转化为具体技术的主要方式之一。现代AI正在改变这一过程，使专家和非专家都能在不实际编写代码的情况下生成代码，而是通过自然语言指令或
英文摘要：
Writing code has been one of the most transformative ways for human societies to translate abstract ideas into tangible technologies. Modern AI is changing this process by enabling experts and non-experts alike to generate code without actually writing it, instead using natural language instructions or "vibe coding". While increasingly popular, the impact of vibe coding on productivity and collaboration, and the role of humans in this process, remains unclear. Here, we introduce a controlled experimental framework for studying collaborative vibe coding and use it to compare human-led, AI-led, and hybrid groups. Across 20 experiments involving 737 human participants, we show that people provide uniquely effective high-level instructions for vibe coding, whereas AI-provided instructions often result in performance collapse. We further demonstrate that hybrid systems perform best when humans lead by providing instructions while evaluation is delegated to AI. Although AI systems can rapidly optimize performance for specific tasks, our work highlights the importance of human guidance in shaping future hybrid societies.
