Testing & QA

Catch it before your users do.

Most bugs that reach production were catchable — there just wasn't a test for them, or the test existed and everyone had learned to ignore it because it failed at random. We build test suites your team actually trusts: fast enough to run on every commit, focused on the flows that make you money, and honest about what they don't cover.

What's included

Automated test suites

Unit, integration and API tests written around real behaviour, not implementation details — so a refactor doesn't break fifty tests that were never catching bugs in the first place.

End-to-end & regression testing

The critical user journeys — sign-up, checkout, the report your finance team runs every Monday — tested in a real browser on every release, so a fix in one place doesn't quietly break another.

Performance & load testing

Realistic traffic thrown at your system before launch day does it for you, with clear numbers on where it slows down and what breaks first.

Release QA & test strategy

Manual exploratory testing where a human eye genuinely catches more, a written test strategy for everything else, and flaky tests fixed or deleted rather than retried until they pass.

Every
Commit runs the automated suite
0
Flaky tests left to be retried and ignored
Web · Mobile · API
Surfaces we test

Frequently asked

Can you add tests to a codebase that has almost none?

Yes, and it's the most common starting point. We don't try to hit a coverage number — we start with the flows that would hurt most if they broke, get those under test first, and build outward from there so the suite pays for itself early.

Do you replace our QA team or work alongside it?

Either. Some clients have no QA function and we become it; others have manual testers and we automate the repetitive checks so their time goes into exploratory testing, where people are far better than scripts.

What do you do about flaky tests?

Find out why they're flaky — usually timing, shared state or a real race condition in the app — and fix the cause. A test that sometimes fails and gets retried until green is worse than no test, because it teaches the team to ignore failures.

Will a big test suite slow down our deploys?

It shouldn't. Fast tests run on every commit, slower end-to-end suites run in parallel before release, and we keep an eye on total pipeline time so testing never becomes the reason people skip it.