一句话：通过27个团队54名开发者的配对访谈，揭示GenAI工具使用频率差异的个人与团队驱动因素及“生产力压力悖论”。
尽管生成式 AI 工具在软件工程中已广泛可用，开发者采用程度仍不均衡，这影响生产力、管理预期与开发者角色认知。作者对 27 个团队的 54 名开发者进行配对访谈，每个团队各选一名高频和一名低频使用者。结果显示，使用差异主要源于开发者对工具的感知（协作者还是功能）、投入方式（实验性还是保守）以及遇到困难时的反应（适应性坚持还是迅速放弃）。研究还指出，组织若在缺乏学习支持的情况下期望快速提升生产力，会形成“生产力压力悖论”，反而削弱采用工具所追求的生产力收益。
Despite the widespread availability of generative AI tools in software engineering, developer adoption remains uneven. This unevenness is problematic because it hampers productivity efforts, frustrates management’s expectations, and creates uncertainty around the future roles of developers. Through paired interviews with 54 developers across 27 teams – one frequent and one infrequent user per team – we demonstrate that differences in usage result primarily from how developers perceive the tool (as a collaborator vs. feature), their engagement approach (experimental vs. conservative), and how they respond when encountering challenges (with adaptive persistence vs. quick abandonment). Our findings suggest that widespread organizational expectations for rapid productivity gains without sufficient investment in learning support can create a “Productivity Pressure Paradox,” undermining the very productivity benefits that motivate adoption.
@inproceedings{abs-2507-21280,
title = {"Maybe We Need Some More Examples:" Individual and Team Drivers of Developer GenAI Tool Use},
author = {Courtney Miller and Rudrajit Choudhuri and Mara Ulloa and Sankeerti Haniyur and Robert DeLine and Margaret-Anne Storey and Emerson Murphy-Hill and Christian Bird and Jenna L. Butler},
booktitle = {ICSE},
year = {2026},
doi = {10.1145/3744916.3773155}
}