That’s a great explanation! It actually reminds me of how AI automation tools are transforming QA and data validation. For example, tools like Keploy
or TestRigor automatically generate and execute test cases based on real input and output data — almost like distinguishing between “discrete” and “continuous” patterns in software behavior.
AI testing tools help ensure that data-driven tests adapt dynamically, which makes validation more accurate and scalable compared to traditional manual methods.
Has anyone else here tried using AI for automating test data generation or API validation?
