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The article is a self-reported account from Anthropic's own team, so the 90% figure and the "no increase in reverts or incidents" target are unverified. The notable shift is a trust model where debugging depends on Claude's understanding rather than any engineer's mental model of the system. For readers building or adopting AI coding tools, the useful question is what happens when that model fails on a critical bug, and whether the team's reverts and incident data will bear out the claim.
Anthropic Says Nobody Needs a Mental Model of Claude Code. Practitioners Are Testing That
Anthropic has published how the Claude Code team reviews code now that Claude writes roughly 90% of it, including a claim that nobody keeps a complete mental model of the codebase. The post documents a pull request that ran more than fifty review rounds overnight, a reviewer spending most of its effort on pre-existing code, and a control the team says it does not yet have. By Steef-Jan Wiggers
Anthropic has published how the Claude Code team runs code review now that Claude writes about 90% of Claude Code itself. The claim drawing the most scrutiny is not the percentage but what the team says it no longer needs. The post, by Addy Osmani, Morgan Westlee Lunt and Qing Wang, is the companion to Anthropic’s account of replacing git with an in-house system after its monorepo went from roughly 2,500 merged changes a day in May to more than 30,000 in September. Review was the next thing to break. The target is that most pull requests "merge with at most one human in the loop, who can be…
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