How much cross-checking do you do between AI models when vibecoding?
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My current setup is basically:
Claude checks Codex -> Codex checks Claude -> ChatGPT checks both
I’m not a developer, have someone who can help to verify and triple check security issues, but still… so at some point I have to trust the AI which is exactly why I make them check each other about 500 times.
Different models often catch different bugs, assumptions, or weird solutions, so I’ve somehow ended up with a tiny AI code review committee.
Curious how others do it: one model only, one main + one reviewer, or full cross-checking between several?
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At Unstoppable, we’ve had the best results splitting the jobs: one agent implements, another reviews in a fresh context, and tests still have to pass. That’s been more useful than having every model review every other model.