AI testing agents versus traditional test automation

A test script is a recording of a decision: someone worked out what mattered, wrote it down in code, and the runner replays it. The decision does not update itself when the product does.

What an agent adds

AI testing agents work across the lifecycle rather than at one point in it. They read the application and its context, identify scenarios worth covering, generate or improve the tests that cover them, and interpret failures instead of simply reporting them.

Where scripts still win

Determinism. A contract test that must assert one exact payload should stay a script, and an autonomous platform worth using will reuse it rather than replace it.