When AI Writes and Reviews the Code
Anthropic reports that its Claude model now generates over 80% of the code merged into production, up from single digits at launch. This shift has reduced human involvement in code reviews, challenging traditional pull‑request approval controls that rely on a second qualified reviewer. Companies are moving verification to automated tools while rethinking the role of human oversight to maintain independence and accountability.
- ▪Claude writes more than 80% of code merged into Anthropic's production codebase, a rise from low single‑digit percentages in early 2025.
- ▪Human reviewers now read far fewer lines of code as AI agents both write and review pull requests, making the traditional “second reviewer” often ceremonial.
- ▪The classic pull‑request approval control no longer guarantees defect detection, intent verification, independence, knowledge transfer, or accountability as originally intended.
- ▪Automated tools are increasingly used to scan for logic errors, security issues, and regressions, shifting human attention to higher‑level decision making rather than line‑by‑line review.
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| Original publisher | R |
| Canonical URL | https://r.rich/blog/ai-native-change-management |
| Publication time | Fri, 24 Jul 2026 15:42:22 +0000 |
| Retrieval time | 2026-07-24T15:49:14.095Z |
| Last seen | 2026-07-24T15:49:14.095Z |
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POSTED: DAYS AGO When AI Writes and Reviews the Code Anthropic now says Claude writes more than 80% of the code merged into its production codebase. That figure was in the low single digits when Claude Code launched in February 2025. Other agents increasingly handle the reviews, which means humans read far less of the output line by line than they once did. Meanwhile, nearly every SOC 2 or ISO 27001 program still contains some version of the same sentence: “changes are reviewed and approved by a second qualified individual before deployment.” The control language no longer describes the work. The control that broke For a decade, pull request approval has been the standard evidence for change management.
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