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Three-Tier Decision Gate Cuts Unnecessary AI Model Calls in CI Pipelines

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Developers running CI pipelines often waste free-tier model credits by triggering AI code reviews on every merge request, including trivial documentation or config changes. A proposed three-tier escalation system classifies diffs by size and sensitivity before deciding whether a model call is warranted at all. Tier 0 skips the model entirely for small doc or config changes, Tier 1 allows a single bounded prompt for moderate code changes, and Tier 2 routes large or sensitive diffs to human review first. A lightweight Python script reads diff stats and changed file paths to make this routing decision automatically. The approach is designed to reduce CI latency and preserve free-tier quotas by reserving model calls for changes where they provide genuine value.

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