AI辅助编程带来隐性负担：需持续人工审查，易引发认知过载。
Human Oversight and Overload: Two Hidden and Costly Burdens of AI-Assisted Software Engineering
- 开发者必须持续检查和修正AI生成的代码，无法省略人工审核。
- 大量AI建议导致开发者注意力分散，产生心理压力与效率下降。
- 适合关注AI落地实践痛点、团队协作效率的工程师阅读。
人工智能正在改变软件工程的工作方式，但常伴随隐藏的负担与成本。本文揭示两种常被忽视的问题：一是必须持续进行人工监督与审查AI生成的代码成果；二是频繁接收大量AI建议、提示和解决方案，造成开发者认知负荷增加。人工审查并非可选，而是必须完成的任务，需重新评估代码质量并可能重写。与此同时，海量建议使开发人员精神紧张、注意力分散。结合近期从业者反馈，本文揭示这些隐性挑战，呼吁在日常开发中正视并应对这些问题。
原文摘要 · Abstract (English)
AI is changing how software engineers work, but it often comes with hidden burdens and costs. In this paper, we characterize two such often-overlooked burdens: (1) the constant need for human oversight and inspection of AI-generated artifacts; and (2) the growing cognitive overload on software engineers from receiving large amounts of suggestions from AI tools. The need for human oversight is not optional-engineers must review, validate, and sometimes rework what AI produces. At the same time, the flood of AI suggestions, prompts, and possible solutions can leave developers mentally stretched. By blending evidence from recent opinions from practitioners, we highlight these often-overlooked challenges and open a conversation about how teams can handle them in day-to-day AI-assisted software engineering.
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