Software · Developer and integration
Test automation
Automated tests that run on every change, so releases are checked by machines before customers see them.
Manual regression testing gets slower as a product grows, until releases wait days for a test cycle. We build test automation suites for web, mobile and APIs that run on every pull request, in parallel, with traces, screenshots and videos for each failure. Flaky tests are tracked and fixed rather than ignored, so a red build always means something.
What we build
- End-to-end browser tests with Playwright across Chromium, Firefox and WebKit
- Mobile UI tests with Appium or Maestro on real devices and emulators
- API and consumer-driven contract tests for every endpoint and partner integration
- Load and performance tests with k6, modelled on realistic traffic patterns
- Visual regression checks that flag unintended layout changes on key pages
- Test data factories and isolated environments created fresh for each run
DemoInteractive · sample data
Try it live.
A working sample with made-up data. It runs in your browser; nothing is sent anywhere.
ci@runner:~$ npx playwright test --shard=1/4 Running 86 tests using 4 workers 84 passed (2.9m) 1 flaky: checkout > apply coupon 1 failed: account > change email ci@runner:~$ npx playwright show-trace trace.zip
What it does well
Fast feedback
Tests run in parallel shards, so the suite finishes in minutes rather than hours.
Failure evidence
Every failure comes with a trace, screenshot, video and network log.
Flake tracking
Unstable tests are detected, quarantined and fixed, with a record of each.
Stable selectors
Tests find elements by role and test ID, so a styling change does not break them.
Real devices
Mobile suites run on a device cloud or on your own device lab.
Readable reports
Product and QA staff see what was tested and what failed in plain language.
Questions
Which tests should we automate first?
Start with the journeys that cost money when they break: sign-up, login, checkout, payments and your core workflow. Add API tests next, as they are fast and stable. Broad end-to-end coverage of every screen comes last, because those tests are the slowest and most expensive to maintain.
Will automation replace our manual testers?
It changes their work rather than removing it. Automation takes over repetitive regression checks. Testers spend more time on exploratory testing, edge cases and usability, which machines do poorly, and many go on to write and review the automated tests themselves.
How do you deal with flaky tests?
Every run is recorded, so a test that passes and fails on the same code is flagged automatically. It is quarantined so it cannot block releases, fixed within an agreed time, then returned. Common causes such as fixed waits and shared test data are removed at the framework level.