Rohan Paul@rohanpaul_ai · XMIT 论文分析 10 万+ GitHub 开发者使用三代 AI 编码工具的效果：自动补全使提交量增 40%，交互式智能体增 140%，自主智能体增 180%，但项目数仅增 50%，实际发布仅增 30%。应用市场同样出现新应用激增但总使用量未升。核心原因：软件开发存在弱环节——人类仍需决定功能、审查代码、测试、集成与发布。替代弹性估算仅 0.25，即 AI 能力大幅提升时，只有少量人类工作可被替代。
MIT study. Code volume surges by 300%， but output increases by only 30%： The AI dividend meets an awkward reality.
They studied 100，000+ GitHub developers and find that AI coding agents massively increase code production， but much less of that work becomes shipped software.
Autonomous AI coding agents raised commits by 180%， but releases rose only 30%.
The paper's main idea is that software production has weak links， so faster code writing does not help as much when humans still need to review， connect， test， package， and ship the work.
The authors also check app marketplaces and find more new apps， but no increase in total usage， which means more software appeared without clear evidence that users adopted more software.