"Testing AI features without burning API credits: the provider seam"
If your AI feature can only be tested against a live API with a paid key, it will be under-tested — guaranteed. The fix is a provider seam: put the model call behind an interface, run CI against a deterministic mock that includes the failure paths, add recorded fixtures for realism, and keep one small live smoke test on a schedule.
If the only way to test your AI feature is to hit a live API with a paid key, it will be under-tested. Not might be — will be. I have watched the same quiet calculation happen on every delivery team I've led: this test run costs money, takes seconds or tens of seconds per call, needs a secret that may or may not be in my environment, and might fail for reasons that have nothing to do with my code. So developers run the tests less often, or skip the AI paths entirely, or mark them "manual only". The coverage report says one thing; the truth is that the most fragile part of the system is the least exercised.
Have an AI feature stuck between demo and production?
The gap — reliability, evals, cost control, the plumbing that keeps it running unattended — is exactly the work I do. If that sounds familiar, a short conversation is usually enough to point you the right way.
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