QA & Testing Services
Test automation, manual QA and accessibility verification wired into CI so defects stop reaching production.
A test suite is only worth having if the team trusts it. Suites that fail randomly get ignored, then bypassed, then deleted — and the project is back where it started having paid for the detour. Building something people rely on means being deliberate about what is covered, how stable it is, and how fast it runs.
Who this is for
Teams with no automated testing and growing release anxiety. Projects with a suite so slow or flaky it is routinely skipped. Companies needing accessibility or security verification for a customer or a regulator.
Problems we solve
- Flaky tests. Timing-dependent failures that erode trust until the suite is ignored.
- Slow pipelines. Suites so slow the team routes around them.
- Brittle assertions. Tests coupled to implementation, breaking on every refactor.
- No test data strategy. Tests depending on a shared database state that drifts.
- Untested critical paths. Coverage everywhere except where failure actually costs money.
- Accessibility assumed. Compliance claimed without ever being verified.
What we build
- Unit and feature tests over business logic, using factories rather than shared fixtures
- Playwright end-to-end coverage on desktop and mobile viewports
- Visual regression testing where layout correctness matters
- Automated axe accessibility checks on every significant route
- API contract tests protecting consumers from backend changes
- Load and performance testing ahead of launches and peaks
- Parallelised CI so the suite stays fast enough to be run
- Documented manual test plans for what automation cannot reasonably cover
How we work
We write tests that wait on application state rather than on fixed timeouts, which is the origin of most flakiness. Each test builds its own data through factories so runs are independent and parallelisable. Assertions target user-visible behaviour, so refactoring does not produce false failures. Anything that stays flaky is fixed or removed rather than retried.
Technologies we use
Pest and PHPUnit for PHP, Vitest and React Testing Library for JavaScript, Playwright for end-to-end and cross-browser runs, axe-core for accessibility, k6 for load testing, and GitHub Actions with parallel execution and coverage gating.
Business benefits
- Regressions caught before merge rather than by customers
- Refactoring becomes safe, so technical debt can actually be paid down
- Manual regression cycles compressed from days to minutes
- Accessibility and performance verified rather than assumed
Common questions
How do we fix a flaky suite?
Usually by removing fixed waits in favour of state-based waiting, and by making each test create its own data. Both are mechanical fixes; the discipline to keep them is the harder part.
How long does a suite take to build?
Critical-path coverage is typically a matter of weeks; comprehensive coverage is ongoing. Starting with the paths that carry commercial risk gets most of the value early.
Should tests run on every commit?
Fast tests on every push, the full suite on every pull request. If the full suite is too slow for that, the suite needs work — not the policy.
Have a suite nobody trusts? Flakiness is the first thing to fix.