Rahul from Greptile watched Open Claw’s pull‑request traffic explode from two a week to 3,400 in two months. Merge rates fell from 48% to under 9.3% as AI‑generated slop flooded the repo. The spike mirrors early‑2000s email spam when cost dropped to zero in the open‑source ecosystem.

Open Claw’s data shows a 48% merge success before the surge, dropping to 9.3% afterward. Contributors with no prior PRs hit an 8.2% merge rate, while those with five or more hit 18.6%. The volume spike came from a single user who submitted 106 PRs in one day, averaging three seconds between pushes.

Mitchell Hashimoto of Ghostty reacted by limiting AI contributions and later released Vouch, a reputation engine that blocks unvouched users. Vouch assigns a trust score, similar to email sender reputation, and currently protects projects like Ghostty before it migrated off GitHub. The system aims to filter out slop while preserving real contributors.

The Open Claw case illustrates that mass AI‑generated PRs dilute quality and that reputation systems are the next frontier for open‑source moderation. As communities grow faster, the need for robust identity, trust, and validation primitives becomes urgent. Without them, the open‑source model risks turning into a spam‑laden codebase for developers worldwide everywhere.