Turn Real Usage Into Regression Tests With AI Test Suites

Writing a comprehensive test suite from scratch is slow, and it's usually the paths nobody clicks through in a demo, the retry logic, the validation errors, the edge case a support ticket surfaces six months later, that end up untested. AI Test Suites takes a different approach: instead of asking you to imagine every case up front, it watches what your app actually does while you use it, and turns that into real test cases in your existing framework.

How it works

You add a lightweight SDK to your app and run it locally. As you use the app, the SDK observes function calls, their parameters, and any error states that come up, without you writing a single assertion. DebuggAI then turns that observed behavior into test cases in your existing test framework, so the output is code that lives in your repo like anything else, not a black box you have to trust blindly.

Getting started

1. Add the DebuggAI SDK to your project.
2. Run your app locally as you normally would.
3. Use it. Walk through your critical flows, and deliberately trigger a few edge cases: bad input, a cancelled request, an expired session. The SDK is watching, not just recording clicks.
4. DebuggAI generates test cases from what it observed and hands them back in your framework's native format.

There's no separate test-writing phase bolted on afterward. The tests come out of using the product the way your users do.

From usage to test cases

The SDK captures function calls, arguments, and error states as they happen, and DebuggAI converts that into structured test cases, ready to drop into your existing suite rather than a new one you have to maintain separately.

Review before you commit

Generated tests are a starting point, not a merge-on-sight artifact. Read them the way you'd read a teammate's PR:

• Check that assertions actually verify the behavior you care about, not just that a function returned without throwing.
• Rename tests so the intent is clear to the next person who reads a failure six months from now.
• Delete anything that's testing incidental behavior rather than a real contract.

This is the same discipline you'd apply to any generated code. The SDK gets you real coverage fast; you still own what ships.

When to use this vs PR Copilot

AI Test Suites is built for logic and behavior, the parts of your app that don't show up cleanly in a UI click-through: backend validation, error handling, edge cases in business logic. PR Copilot is built for the browser layer, catching UI regressions on every push without you writing a single Playwright test.

They're not competing tools. Most teams run PR Copilot first because it requires zero setup, then add AI Test Suites once they have flows worth turning into a durable regression suite. For a closer comparison, see PR Copilot vs AI Test Suites: Where to Start.