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MLOps LLM Regression Testing vs Traditional Unit Tests
Learn how MLOps regression testing and CI/CD compare to traditional unit tests through real interview case studies and evaluation rubrics.
FAQ
Is CI/CD regression worth the extra two weeks of pipeline setup?
Yes. In the Snap case the extra 14‑day setup saved 15 days of onboarding and added $10 k equity, proving the trade‑off is a net win.
Can I rely on unit tests if my LLM only touches one internal API?
No. The Stripe interview showed that a single‑API focus ignores cross‑service contracts; the committee rejected the candidate 3‑2.
Do hiring committees care about test‑coverage percentages?
No. They care about consistency scores in the SCALE rubric or layer 2 validation in the ML Test Pyramid; coverage numbers are irrelevant.amazon.com/dp/B0GWWJQ2S3?tag=sirjohnnymai-20).
The playbook
The 0→1 AI Engineer Interview Playbook
The interview loop that didn't exist two years ago, in one book: what AI engineer interviewers evaluate, the skill stack they probe, and LLM system design end to end.
- The AI engineer interview taxonomy and how it differs from SWE and MLE
- RAG, agents, fine-tuning and evals: what you must be able to defend
- LLM system design walkthroughs for AI-native products