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Claude Code team says AI review now precedes human checks

Addy Osmani, Morgan Westlee Lunt, and Qing Wang from the Claude Code team described a shift in their code review process in a recent post. They argue that asking "did a human read the code?" is an imprecise way to measure safety. Instead, they focus on identifying potential risks and determining whether automated or human checks are best suited to catch them.

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Key points

  • Claude Code team shifted code review from a final gate to a continuous, spellcheck-like process.
  • Most code changes are reviewed and fixed by Claude before human review begins.
  • The team argues risk-based checks are more precise than asking if a human read the code.

This change has moved code review from a final gate to a continuous process, similar to spellcheck while writing. According to the team, most changes are now reviewed and fixed by Claude at least once before a human is asked to look at them. This approach catches routine mistakes early and reserves human attention for higher-level scrutiny and complex questions.

The post highlights a practical application of AI agents in software development workflows, emphasizing efficiency and risk-based review rather than mandatory human oversight for every line of code.

Full story from Simon Willison · by Simon WillisonOpen source ↗

Quoting Addy Osmani, Morgan Westlee Lunt, and Qing Wang

Simon Willison · 16 October 2026

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This text was published by Simon Willison and written by Simon Willison. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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AnthropicClaudeAddy OsmaniMorgan Westlee LuntQing Wang

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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