What is end-to-end testing, and how do you automate it with AI?

API Regression Testing

You group API contract checks into a plan written as plain-language goals – "GET /orders returns 200 with a list, and every item has an id and a status" – and an AI agent runs them against your API environment on every deploy. The agent makes the requests, writes and executes its own validation code, and returns a verdict with the full request and command trace.

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. Many teams wire this into PR testing so the suite runs on every pull request preview. What that changes on build, scope and verdict is in our guide to regression testing in the pull request. 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. This is the workflow behind our automated web testing product.

Checkout & Payment Flow Testing

You point an AI agent at your store, describe the purchase you want verified in plain language, and it completes the journey like a real shopper – add to cart, enter an address, pay, confirm – then checks each step worked. With QA.tech that whole flow runs automatically on every deploy, in parallel, with no test code.