生成式AI时代的认知债务：实践者谈理解力的丧失
原标题：Cognitive Debt in the GenAI Era - Listening to Practitioners' Voices on the Loss of Understanding
AI 摘要
该论文通过灰文献综述方法分析了76个来源，探讨生成式AI辅助软件开发中出现的“认知债务”现象，即开发者对所构建系统的理解与系统实际行为之间不断扩大的差距。研究发现，当开发者不加理解地接受AI生成的代码时，认知债务会在可运行的代码和通过的测试背后悄然积累，导致维护和调试困难、团队知识碎片化以及生产力下降。实践者提出了记录设计理由、控制变更规模、设置理解门槛和知识共享仪式等应对实践。
正文节选
Cognitive Debt in the GenAI Era - Listening to Practitioners’ Voices on the Loss of Understanding Abstract Fast-paced AI-assisted software development risks reducing developers’ understanding of the systems they build. This growing gap between what the system does and what developers understand about it, described as “cognitive debt”, is not new, but AI has exacerbated it. This has led to a recent surge in blog posts and online discussions, in which practitioners recognize and write about cognit