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85% say the bottleneck is reviewing AI code, not writing it. @gitlab asked…

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AlphaSignal@AlphaSignalAI

85% say the bottleneck is reviewing AI code, not writing it. @gitlab asked 1,528 developers and buyers. The queue moved from generation to validation. @SonarSource's 1,100+ survey says 42% of committed code is AI-generated. 96% do not fully trust it is functionally correct. Only 48% always check before they commit. We generate faster than anyone can read. Another round of doubt will not shrink that queue. @unclebobmartin ships unread agent code. He can, because the checks fail it without him: > Unit tests he never reads > Acceptance tests he spot-checks > Mutation on the suite > Quality metrics on the output The transferable part is not his full stack. It is how much autonomy a change earns when something cheap can fail it. Reading every line just makes you the new queue. > When can a change ship unread? > What still needs a name on it if it ships wrong? > What fails if nobody reads the diff? Full Breakdown ↓↓

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Faster code generation can leave teams with more work waiting for validation. In GitLab's survey of 1,528 developers and technology buyers, 85% agreed that AI had shifted the bottleneck toward reviewing and validating code. That is a reported perception from respondents, rather than a direct measurement of review queues. The primary release supports the central statistic cited by AlphaSignal.

AlphaSignal's post and diagram propose giving changes autonomy according to how reliably automated checks can reject mistakes. The diagram still places human judgment at a review gate, particularly for authentication, billing and public interfaces. Its argument is for making verification capacity determine autonomy; the survey does not test whether shipping unread code is safe.

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