2 notes on api checks and ai
When more automation hides a broken user journey
Pipelines get greener while users still struggle. Why automated tests pass over a broken journey, and how I keep functional truth ahead of technical coverage.
AI in QA without fake confidence
I use AI to speed up API and performance work. I do not let a model decide that a release is safe. Where it helps in QA, and where a fluent answer gets mistaken for evidence.