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LLM Evals and AI Test-Suite Quality
9.1Two Evaluation Problems, One Skill SetBy mid-2026, QA job postings routinely list LLM eval design as a core competency, alongside RAG metrics and frameworks like Ragas, TruLens…9.2Part 1: Measuring AI Test-Suite QualityThe review checklist and quality gates from the previous chapters are per-test judgments. At the suite level, three metrics tell you…9.3Part 2: Prompts Are Code -- Test Them Like CodeYour prompt templates determine the quality of every suite the team generates. A silent regression in a template (or a model upgrade that…9.4Part 3: LLM Evals -- Testing the AI Inside Your ProductWhen the product embeds an LLM, assert response == expected is dead on arrival: the same input can produce different valid outputs. The…9.5Part 4: RAG-Specific MetricsRetrieval-augmented features fail in two distinct places, so you measure two distinct stages:9.6Interview Talking Point"I treat evaluation as one skill applied to two targets. For AI-generated test suites, I track mutation score, coverage delta per…9.7Key TakeawayEvaluation is the through-line of AI-era QA. Measure AI-generated suites with mutation score, coverage deltas, and flake rate so "the AI…