13.5Interview Talking Point

"I think about API testing in layers, and AI plays a different role at each layer. At the contract layer, AI analyzes our client code and generates Pact consumer tests automatically -- it detects every HTTP call pattern and builds the contract expectations. At the schema layer, AI generates comprehensive tests from our OpenAPI spec, covering every field constraint, enum value, and auth scenario. At the fuzzing layer, AI generates semantically meaningful payloads -- not random bytes, but SQL injection strings in name fields, boundary values for prices, Unicode edge cases -- which catches real vulnerabilities that random fuzzing misses. For event-driven architectures, I focus on idempotency, ordering, and dead-letter testing because those are where async systems silently fail. The most underrated capability is schema drift detection: an AI agent compares our OpenAPI spec to the actual API behavior daily and creates a PR whenever the documentation is stale. This eliminates the entire class of 'the docs say X but the API does Y' bugs that plague every microservice team I have worked with."