Ask HN: 我们如何衡量人工智能对全球开发者生产力的影响？
1 分•作者: obilgic•7 个月前
我很好奇，是否有有意义的方法来量化AI工具（ChatGPT、Claude、Copilot等）对全球软件开发生产力的影响程度。<p>显然，像“创建的仓库数量”、“提交数量”或“更改的代码行数”这样的指标并不能反映质量——但它们是否可以揭示方向性趋势？例如：<p>新仓库的创建速度是否比往年更快？<p>每个开发者的提交数量是否在增加？<p>在GitHub或GitLab等平台上，代码更改的总量是否显著增长？<p>是否有人见过关于这种全球性转变的研究、数据集或衡量尝试？是否有更好的指标来衡量AI驱动的软件工程生产力提升（或损失）？
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I’m curious whether there’s a meaningful way to quantify how much AI tools (ChatGPT, Claude, Copilot, etc.) are affecting software development productivity worldwide.<p>Obviously, metrics like “number of repos created,” “number of commits,” or “lines of code changed” are not quality indicators — but could they still reveal directional trends? For example:<p>Are new repos being created at a faster rate than previous years?<p>Are commits per developer increasing?<p>Is the total volume of code changes growing noticeably on platforms like GitHub or GitLab?<p>Has anyone seen research, datasets, or attempts to measure this kind of global shift? Are there better proxies for AI-driven productivity gains (or losses) in software engineering?