AI生成的API设计更高效更规范，但过于完美反而让专家怀疑其真实性。
The Perfection Paradox: From Architect to Curator in AI-Assisted API Design
- 用AI根据改进提案学习生成API规范
- AI在11个可用性维度中胜出10项，编写时间减少87%
- 专家误判率高，认为过于完美缺乏真实人类的权衡感
企业API设计常面临快速交付与严格可用性标准之间的矛盾。本文通过一项工业案例研究，评估了基于API改进提案（AIPs）训练的AI辅助设计流程。在16位行业专家参与的受控实验中，对比了AI生成与人工编写的API规格。定量结果显示，AI在11个可用性维度中有10项表现更优，编写时间减少87%；定性分析揭示悖论：专家仅以19%准确率识别出AI作品，却普遍认为其设计“令人不安地完美”。我们将其称为“完美悖论”——过度一致性暴露了缺乏现实权衡的人类判断。文章讨论该现象影响，提出设计师角色应从“起草者”转变为“AI生成模式的筛选者”。
原文摘要 · Abstract (English)
Enterprise API design is often bottlenecked by the tension between rapid feature delivery and the rigorous maintenance of usability standards. We present an industrial case study evaluating an AI-assisted design workflow trained on API Improvement Proposals (AIPs). Through a controlled study with 16 industry experts, we compared AI-generated API specifications against human-authored ones. While quantitative results indicated AI superiority in 10 of 11 usability dimensions and an 87% reduction in authoring time, qualitative analysis revealed a paradox: experts frequently misidentified AI work as human (19% accuracy) yet described the designs as unsettlingly "perfect." We characterize this as a "Perfection Paradox" -- where hyper-consistency signals a lack of pragmatic human judgment. We discuss the implications of this perfection paradox, proposing a shift in the human designer's role from the "drafter" of specifications to the "curator" of AI-generated patterns.
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