METR:Research(网页)·· 12 小时前精选AI 评分77
METR 研究:早期 2025 年 AI 工具使资深开源开发者效率下降 19%
Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity July 10, 2025 We conduct a randomized controlled trial to understand how early-2025 AI tools affect the productivity of experienced open-source developers working on their own repositories. Surprisingly, we find that when developers use AI tools, they take 19% longer than without—AI makes them slower. Read more
AI 导读
METR 开展随机对照试验,16 名资深开源开发者在自己的大型开源仓库(平均 22k+ stars、1M+ 行代码)上完成 246 个真实 issue,允许使用 AI(主要是 Cursor Pro 与 Claude 3.5/3.7 Sonnet)时完成任务反而慢 19%。
推荐理由
METR 的随机对照试验给出了 AI 使资深开源开发者变慢 19% 的实测结果,可用于校准基准分数与自我感知之间的落差。
来源:METR:Research(网页) · metr.org