@KakaluoteW45042: The bottleneck is attention, no doubt about that, but the conclusion shouldn’t be an either/or choice (read everything …

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Summary

Discussion on the bottleneck of attention in code review, suggesting prioritizing high-risk changes over uniform scrutiny to better handle AI-generated code.

The bottleneck is attention, no doubt about that, but the conclusion shouldn’t be an either/or choice (read everything vs. skip it), but rather to price changes: hand off purely mechanical, low-risk diffs to automated checks to block them, while only shelling out full-price attention for things like architecture, concurrency, or data migrations that actually warrant it. The real danger isn’t failing to catch everything—it’s spreading your attention evenly across every PR, only to end up not truly understanding the high-risk ones.
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Cached at: 09/17/26, 04:23 AM

The bottleneck is attention, no doubt about that, but the conclusion shouldn’t be an either/or choice (read everything vs. skip it), but rather to price changes: hand off purely mechanical, low-risk diffs to automated checks to block them, while only shelling out full-price attention for things like architecture, concurrency, or data migrations that actually warrant it. The real danger isn’t failing to catch everything—it’s spreading your attention evenly across every PR, only to end up not truly understanding the high-risk ones.

LotusDecoder (@LotusDecoder): “于是新的瓶颈出现了：我根本看不过来。不是代码写不完，而是Agent生产出来的代码、PR、分析、issue、实验、Review结果越来越多，我没有足够注意力逐个理解。这也解释了为什么“不亲自Review代码”最终几乎是必然的。如果机器一天可以产生几十个值得合并的修改，而人仍然坚持逐行读完，那么Agent的生产能

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