Why do automated tests break, and how does AI fix it?

Automated Regression Testing

Regression testing re-checks that existing features still work after a change. To automate it with AI, you group tests into a regression plan written as plain-language goals, and agents run the whole suite in parallel on every deploy. A 50-test suite that took hours by hand finishes in around ten minutes, and the tests don't need rewriting when the UI shifts.

End-to-End Testing

End-to-end testing verifies a complete user journey works from start to finish, the way a real user experiences it. With AI you describe the journey as a goal and an agent carries it out – logging in, navigating, filling forms, verifying the outcome – across your whole app. QA.tech runs these in parallel and re-navigates when the UI changes, so long flows don't collapse on a renamed button.

Feature Flag & A/B Test Testing

Different users see different versions of your app, so a flow that passes for the control can fail for a variant. With AI you run the same test plan against environments configured with different flag states, verifying critical flows work regardless of which variant is active.