Here's an extended edit of the quote that includes a following fragment where Andrew Macdonald calle...
TL;DR · AI 摘要
文章讨论了AI工具对工程生产力的影响，但指出难以量化其对实际功能产出的具体贡献。
核心要点
- Andrew Macdonald认为难以直接将AI工具的使用与用户功能产出挂钩。
- 25%的代码提交来自Claude Code，但其对功能开发的贡献尚不明确。
- 若无法证明AI工具对用户价值的直接提升，其使用合理性将受到质疑。
结构提纲
按章节快速跳转。
- §引言
文章提到AI工具在工程中的应用及其潜在影响。
Claude Code贡献了25%的代码提交，但其实际效果尚不明确。
难以量化AI工具对功能开发的具体贡献，影响其合理性评估。
思维导图
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查看大纲文本（无障碍 / 无 JS 友好）
- Claude Code的使用情况
金句 / Highlights
值得收藏与分享的关键句。
25%的代码提交来自Claude Code，但其对功能开发的贡献尚不明确。
若无法证明AI工具对用户价值的直接提升，其使用合理性将受到质疑。
Andrew Macdonald认为难以直接将AI工具的使用与用户功能产出挂钩。
Don’t miss what’s happening
Here's an extended edit of the quote that includes a following fragment where Andrew Macdonald called the trade "harder to justify" - full, unedited transcript is here: gist.github.com/simonw/59096a3
[![Image 1: But then you sometimes go and talk to your senior engineering leaders and you’re saying, OK, how many projects that were on the cutting room floor got moved above the line because of the productivity gains because 25% of our code commits were via Claude Code last quarter? That link is not there yet, right? I think maybe implicitly there’s more that is getting shipped. But it’s very hard to draw a line between one of those stats and, OK, now we’re actually producing like 25% more useful consumer features, right? And that line is hard to draw. [...] And so if you’re not actually able to draw a direct line to how much useful features and functionality you’re shipping to your users, that trade becomes harder to justify.](https://pbs.twimg.com/media/HJfYssZbEAA1q1Y?format=png&name=small)](https://x.com/simonw/status/2060353804625977772/photo/1)
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