QUALITY ASSURANCE SERVICES

Automated coverage for your code and evals for your AI, wired straight into CI.

Quality Assurance

Confidence to change code you did not write

Testing earns its keep the day someone needs to make a risky change quickly. That matters more than ever now that a meaningful share of code is AI-generated: a good suite is what lets you accept that speed without quietly accumulating breakage.

  • Automation firstManual effort reserved for what genuinely needs human judgement
  • Wired into CITests run on every push, not the night before release
  • Reproducible bugsReports with steps, evidence and severity, not screenshots in chat

Where the coverage sits

Weight the pyramid correctly and the suite stays fast and trustworthy. Invert it and you get a slow, flaky suite that people learn to ignore — which is worse than having none.

Unit

Fast checks on business logic, run in seconds. The bulk of the suite, and the layer that makes refactoring safe.

Integration & API

Contracts between services, database behaviour, auth rules and third-party failure handling — where most real bugs actually live.

End to end

A small, deliberately chosen set of critical journeys: sign-up, checkout, the one flow that must never break. Kept small so it stays reliable.

Exploratory

A human using the product with intent, looking for the things a script would never think to try.

Testing tools we use

Whatever fits your stack. If your team already has a framework, we extend it rather than starting a second one alongside.

Browser & end to end

Default: Playwright for new suites — parallel runs, real cross-browser coverage and traces that make a failed CI job diagnosable without re-running it locally.

  • Playwright
  • Cypress
  • Selenium

Unit & integration

We write tests in the idiom of your stack: RSpec for Rails, Pytest for Python, Jest for JavaScript and TypeScript.

  • Jest
  • RSpec
  • Pytest

API & performance

Load testing before launch tells you where the ceiling is. Finding it during a marketing push is considerably more expensive.

  • Postman
  • k6
  • CTContract tests

Quality gates

Tests, linting and static analysis run on every pull request. A red build blocks the merge — that is the whole point of having one.

  • GitHub Actions
  • SonarQube
  • CRCoverage reporting
  • Jira

Manual & specialist

Real devices for mobile, screen readers for accessibility, and a documented regression pass before major releases.

  • ETExploratory testing
  • CBCross-browser & device
  • AWAccessibility (WCAG)
  • RSRegression suites
  • USUAT support

AI feature testing

AI features cannot be tested with assertions alone. We build eval sets that score output quality and run them in CI, so a prompt change that degrades answers fails before release.

  • ESEval suites
  • LLangfuse
  • PRPrompt regression tests

Our bias. A small suite that always passes is worth more than a large one people re-run until it goes green. We would rather delete a flaky test than teach a team to ignore red.

How we engage

  1. Audit

    What is covered today, where the risk actually sits, and which bugs keep coming back.

  2. Build the safety net

    Automate the critical journeys first, wire them into CI, then widen coverage outwards.

  3. Keep it honest

    Maintain the suite as the product changes, kill flaky tests, and report on what is genuinely covered.

What we test for

Coverage is shaped by what breaking would actually cost you, not by chasing a percentage.

  • Functional correctness across critical user journeys
  • Regressions on every merge, before they reach staging
  • API contracts and third-party failure handling
  • Performance under realistic load, not ideal conditions
  • Accessibility: contrast, keyboard paths, screen readers
  • Real devices and browsers, including the older ones