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LLM & GenAI Fundamentals / 38
hardOpenAIAnthropicScale

Design an eval suite that catches silent quality regressions when you upgrade the underlying model.

Provider model upgrades ship faster than your release cycle and quietly shift behavior. The design that turns 'we hope it's fine' into a blocking gate: a frozen golden set, pairwise diffing, segmented scoring, and a shadow-traffic canary.

Updated Aug 2026 · Grounded in real Forward Deployed Engineer interview loops and written to a senior-engineer editorial bar.

Provider model upgrades ship faster than your release cycle and quietly shift behavior. The design that turns 'we hope it's fine' into a blocking gate: a frozen golden set, pairwise diffing, segmented scoring, and a shadow-traffic canary.

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