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Builds a proportionate test plan from blast radius, failure probability, detectability, and reversibility.
Explains how unit, integration, contract, component, and end-to-end tests cover different failure boundaries.
Designs realistic load, stress, spike, and soak tests from workload assumptions and SLOs while correlating client results with server bottlenecks.
Combines schema diffing, real provider tests, consumer expectations, generated clients, semantic scenarios, and rollout evidence to prevent accidental API breaks.
Distinguishes observable contracts from incidental calls while preserving important interaction assertions.
Focuses unit tests on stable behavior, meaningful boundaries, deterministic outcomes, and useful failure messages.