Anthropic’s Claude Code team has shifted most code review work to automated systems as AI agents generate a growing share of its software. Claude writes about 90% of Claude Code’s code, while merged pull requests more than doubled from June to September and the share requiring reverts fell by more than 40%, according to the team. Anthropic’s monorepo rose from roughly 2,500 changes per day in May to more than 30,000 in September. Every Claude Code pull request receives automated bug and security reviews before human review. Agents verify proposed findings, discard style-only or insufficiently supported comments, and rank remaining issues by severity. Automated checks include linting, type checks, builds, cross-platform tests, and merge-queue validation against the main branch. Changes are classified as low, medium, or high risk: low-risk changes can merge without human approval once automated checks pass, medium-risk changes need one human, and high-risk changes need two. Only trusted authors can use lighter review paths, and agent approvals never substitute for required human approvals. The team uses feature flags, staged latest-channel releases, on-call rotations, reverts, and incident reviews to limit damage from missed defects. It also evaluates reviewers daily against past incident-causing pull requests and tracks false-positive noise and review rounds. One pull request underwent more than 50 automated review-and-fix rounds overnight, prompting the team to measure rounds-to-pass and limit repeated review.

Gemini Code Assist allows users to review pull requests on GitHub effectively. It integrates with Google Cloud to streamline code review processes.

TREX is a code reviewer developed by Greptile that executes code and identifies errors during the review process. It enhances traditional code inspection methods by integrating code execution with pull request reviews.

Open Code Review is an AI-powered command-line interface tool for code review, initially developed for Alibaba Group's internal use. It analyzes Git diffs, provides precise line-level comments, and is compatible with OpenAI and Anthropic models, having identified millions of code defects over two years of operation.

Sashiko is an open-source agentic AI code review system for the Linux kernel developed by Google engineers. It will continue to perform upstream Linux kernel code reviews with ongoing funding from Google.