- Who it helps
- Engineering teams deciding how to review increasingly large agent-written changes.
- Availability
- The October 15 engineering account is public. It describes an internal operating practice; adopting it requires a team’s own tests, permissions, review tools and release policy.
Review the evidence for the exact change
The account describes checks before and during pull-request review, with security and integration gates. For a team trying a similar process, the useful artifact is a record of the change, the checks that ran and the unresolved risks.
Adapt the boundaries to your team
A small interface fix and an authentication change deserve different review paths. Write the risk rule down before delegating the work, and preserve a person’s responsibility for accepting the result. Internal productivity figures cannot predict another team’s outcome.
Solving code review at Anthropic ↗Code review at Anthropic: commentary ↗
What you can do
- Read the original account, then map one existing pull request to your own acceptance checks and review responsibilities. Open reference ↗
Where the evidence stops
The internal process and reported outcomes were not audited. This brief supplies context rather than a tested installation procedure.
Sources read. Sources checked October 17, 2026 UTC. No external product workflow, model inference or third-party project was executed.
Sources & further reading
Web · analysis
Solving code review at Anthropic ↗
Read the team’s layered review account. Internal results are the authors’ report; review services and agent runs were not tested.
Anthropic · page checked 2026-10-17 · Published 2026-10-15
More sources reviewed (2)
Hacker News · discussion
Hacker News: ranked discussions ↗
First thirty ranked rows inspected, including benchmark coverage, research, models and code-review practices.
Hacker News · page checked 2026-10-17
Web · analysis
Code review at Anthropic: commentary ↗
Read the attributed quotation and link to the team’s original engineering account.
Simon Willison · page checked 2026-10-17 · Published 2026-10-16
Coverage note: Coverage is limited to the cited sources. Original X access, independent replication and a comprehensive platform comparison were unavailable.
The record over time (1)
Dated source checks and published explanations. An observation date can differ from the original release date.
Anthropic describes a layered review process for AI-assisted software work, with checks during development, automated review and human judgment concentrated around risk.