AI Code Review Should Advise, Not Approve: Keep CI Pipeline as Merge Gate

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A developer shared a real incident where an AI-generated code review approved a pull request containing an unguarded array index in a payment reconciliation job, which later caused two production failures. The core argument is that AI code review tools, while useful for catching common errors quickly, are non-deterministic and lack versioned behavior, making them unsuitable as merge gates. Unlike test suites, linters, or coverage thresholds, AI reviewers have no trackable pass/fail history, meaning regressions go unnoticed until an incident occurs. The recommended fix is to separate AI review from merge-blocking checks in CI pipelines, running AI feedback as a parallel advisory job while keeping only deterministic checks in branch protection rules. A sample CircleCI configuration was provided to illustrate how teams can implement this split in roughly 15 minutes.

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