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AI test automation training

We take part of your team’s application and cover it with tests using an AI agent. Along the way, participants learn to spot a test that passes but checks nothing.

What I can help with

  1. From requirements to test cases

    We practise turning a feature description, a ticket or the code into a list of cases, including edge and negative ones, and dropping those that add nothing.

  2. Unit, API and UI tests

    Participants give the agent context, run the tests it writes and fix what fails. I show UI tests in Playwright, which I use myself. If your team has a different framework, we practise in that.

  3. Reviewing generated tests

    We check assertions, test data and dependencies between tests. We look for tests that always pass and tests that are flaky.

  4. Maintenance and CI

    We cover repairing tests after the application changes, running them in CI, and which permissions and data the agent should get.