MIT Go daemon + git hook reviews every commit with the CLIs you already pay for—Codex, Claude Code, Cursor, OpenCode, and first-class Grok Build (grok / grok-build). Findings stay in a ledger until closed; agent hooks push open review IDs back into the session for /roborev-fix before context goes cold. Reviews stay on your machine.
Anthropic’s PR Code Review left research preview: auto-reviews on new GitHub PRs in ~6–10 minutes, with Quick/Standard/Deep intensity per repo for Team and Enterprise.
AI Scan is GA: it complements CodeQL by auto-scanning PR diffs for languages/frameworks CodeQL does not cover (PHP, Shell, Terraform HCL, Dockerfiles, JSP, Blazor, etc.), surfaces advisory findings with explanations and suggested autofix, and consumes Code Security AI Credits without blocking merges.
Anthropic’s Claude Code team documents a layered review stack—pre-PR verify, AI review + security block, risk-tiered human approvals, merge queue/flags, and fast rollback—so most agent PRs merge with ≤1 human while revert rate fell >40% as volume doubled.
Bitbucket Cloud pattern for large monorepos: a matcher agent maps changed paths to the right review docs via Bitbucket MCP, then a fresh reviewer comments only against that short list—humans still approve.