调查：AI 生成代码增加调试与失败率并造成理解鸿沟
原标题：Survey Finds AI-Generated Code Increases Debugging and Failure Rates and Creates a Comprehension Gap
AI 摘要
独立研究机构 Coleman Parkes 受 Undo 委托对 300 名负责关键任务软件的高级工程负责人进行调查，发现 AI 编码代理虽加速了代码生成，却把瓶颈转移到调试、代码理解与维护上。团队平均每周花 9.8 小时写代码、16.9 小时调试，占工作周 42%；35% 的生成代码在团队完全理解前就进入生产，80% 受访者称代理难以处理复杂代码库中的难题。79% 的工程负责人表示整体发布周期并未因 AI 而加快。
正文节选
A survey conducted by independent research firm Coleman Parkes on behalf of Undo, a company focused on scaling AI-powered root-cause analysis, found that while AI coding agents have accelerated code generation, they have shifted the primary bottleneck to debugging, code comprehension, and maintenance. The report surveyed 300 senior engineer leaders responsible for delivering mission-critical software, most of whom working with C/C++. The survey focuses specifically on mission-critical codebases