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type: "raw_signal"
id: "how-the-claude-code-team-does-code-review-0b471c"
slug: "how-the-claude-code-team-does-code-review-0b471c"
title: "How the Claude Code team does code review / claude.dev Blog"
description: "Anthropic has published an account of how the Claude Code team reviews code as agent-assisted output increases."
retrieval_nugget: "Anthropic has published an account of how the Claude Code team reviews code as agent-assisted output increases."
observed_at: "2026-10-17"
record_date: "2026-10-17"
date_kind: "observed_at"
why_it_matters: "Anthropic measures human approvals per pull request, comments and time waiting for a person. Reverts and incidents are guardrails: reducing review time is not a gain if failure-response work rises. The post describes the Claude Code team’s process; it does not establish that the same results will generalize to other organizations."
novelty: "notable"
verification_level: "source-linked"
signal_type: "update"
source_platform: "claude.dev"
topics: ["claude","claude-code","anthropic"]
entities: ["Anthropic","Claude Code"]
related_patterns: ["ai-native-orgs-move-to-review-and-orchestration"]
source_url: "https://claude.dev/blog/solving-code-review-at-anthropic"
source_urls: ["https://claude.dev/blog/solving-code-review-at-anthropic"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "signal:how-the-claude-code-team-does-code-review-0b471c"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/signals/how-the-claude-code-team-does-code-review-0b471c/","markdown":"https://newruntime.com/signals/how-the-claude-code-team-does-code-review-0b471c.md","json":"https://newruntime.com/signals/how-the-claude-code-team-does-code-review-0b471c.json"}
---

# How the Claude Code team does code review / claude.dev Blog

## Retrieval answer

Anthropic has published an account of how the Claude Code team reviews code as agent-assisted output increases.

Anthropic has published an account of how the Claude Code team reviews code as agent-assisted output increases. The post reports that merged pull requests to Claude Code repositories more than doubled from June to September, while the share later reverted fell by more than 40%. The team says it moved much of review earlier and delegated routine checks to automated layers rather than removing review.

Before a pull request, Claude runs tests, a build and a linter, and a second agent reviews the diff in a fresh context. Pull requests then pass required CI, parallel Claude code-review agents, a separate security review and risk-based approval. A classifier sets the human approval tier: none, one or two, with some paths always requiring a person. After merge, feature flags, gradual rollout and rollback provide recovery controls.

Anthropic measures human approvals per pull request, comments and time waiting for a person. Reverts and incidents are guardrails: reducing review time is not a gain if failure-response work rises. The post describes the Claude Code team’s process; it does not establish that the same results will generalize to other organizations.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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