Automated Testing Services

Got a suite nobody trusts? We start by finding the flaky tests: the timing waits, shared test data and brittle selectors that make a green run meaningless. We stabilise them or quarantine them, then rebuild the critical paths on stable locators and API-level setup.

The suite then runs in your pipeline on GitHub Actions, GitLab CI, Jenkins or Azure DevOps. Tests run in parallel, failures come with screenshots, videos and logs, and the slow end-to-end layer is kept small with API and component tests underneath.

We work in the framework you already use, or recommend one if you are starting fresh.
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Automation covers regression so your manual testers can focus on exploratory testing of new features. Each week you get one report: what ran, what failed, which flaky tests were fixed, and how much of the regression suite is now automated. The code lives in your repository, so you own it if we part ways.

Week one starts with a scoping call and an audit of your current suite and pipeline. From there we focus on three things:

1. A stable suite: flaky tests fixed or quarantined, with a clear owner for each.
2. Fast feedback: parallel runs in CI on every pull request.
3. Coverage that grows: critical user journeys automated first, then the long tail.