一句话：通过415人调查发现，GenAI提升的任务速度与产出被评审负担、验证认知负荷等隐藏成本抵消。
生成式AI工具被广泛用作开发生产力辅助，但生产力是多维的，加速某一方面可能只是把工作量转移到别处。论文基于SPACE框架（满意度与幸福感、绩效、活动、沟通与协作、效率与心流），调查了415名软件从业者对GenAI采用后生产力变化的感知。结果显示，频繁使用GenAI的开发者报告任务完成更快、产出量更高，但这些收益被评审负担增加、验证输出带来的持续认知负荷以及未改变的协作模式所抵消。论文还给出开发者感知挑战与潜在缓解策略之间的经验映射，并指出当前阶段的感知生产力提升可能是虚假的：表层加速伴随工作量再分配和隐藏成本。
Generative AI (GenAI) tools are increasingly being adopted in software development as productivity aids, since there is evidence that GenAI tools can improve individual aspects of productivity. However, productivity is multidimensional; accelerating one aspect of work may simply shift effort to another. In this paper, we investigate how GenAI adoption affects different dimensions of developer productivity. We surveyed 415 software practitioners to understand how they perceive productivity changes associated with AI adoption, using the SPACE framework (Satisfaction and well-being, Performance, Activity, Communication and collaboration, and Efficiency and flow). Our results reveal systematic redistribution of effort across SPACE dimensions. While frequent GenAI users reported faster task completion and higher output volume, these gains were offset by increased code review burden, persistent cognitive load from output verification, and unchanged collaboration patterns. We further provide an empirical mapping between the challenges perceived by developers and potential strategies to mitigate them. Overall, our findings suggest that, at the current stage of GenAI adoption, perceived productivity gains may be spurious—surface-level acceleration, often accompanied by redistributed effort and hidden costs.
DOI 原文 · arXiv · PDF（开放获取） · DBLP
@inproceedings{AfrozFMKTSS26,
title = {The Fast and Spurious: Developer Productivity with GenAI},
author = {Sadia Afroz and Zixuan Feng and Tyler Menezes and Katie Kimura and Bianca Trinkenreich and Igor Steinmacher and Anita Sarma},
booktitle = {FSE},
year = {2026},
doi = {10.1145/3803437.3806710}
}