Quality Engineering

When testing happens at the end, it becomes a bottleneck. Releases slip, bugs reach customers, and teams stop trusting their own test results because tests fail for no clear reason. Quality engineering moves checking into daily work: fast automated tests on every change, a few reliable checks before each release, and clear numbers showing whether quality is improving.

Bugs found in minutes, not weeks

Automated tests run on every change, so problems surface while the person who made them still remembers why.

Release without the long checklist

Quality gates in your pipeline replace manual sign-off for ordinary releases, and flag the ones that need a closer look.

Tests you can rely on

We remove flaky tests, keep suites fast, and report results in a way the whole team understands.

Test strategy and review

An honest look at how you test today, where the risk sits, and a plan for what to automate first.

Test automation

Automated checks for web, mobile, and APIs, written in code your engineers can read and maintain.

Quality gates in CI/CD

Checks that run on every change and block a release only when something important is wrong.

Performance and load testing

Tests that show how the product behaves with many users, before your customers find out.

Accessibility and security checks

Automated and manual checks built into the pipeline, with issues ranked by how much they matter.

Test data and environments

Reliable test data and stable environments, so tests fail for real reasons only.

• What should we automate first?

  How we approach it

  We list your main user journeys and the places bugs have cost you most, then automate those before anything else.

  What you get

  A ranked list of checks and a working suite for the most important journeys.

• How much testing is enough?

  How we approach it

  We balance fast unit and API tests with a small number of full journey tests, and avoid heavy suites that slow everyone down.

  What you get

  A test mix that runs in minutes and catches the problems that matter.

• What should block a release?

  How we approach it

  We agree gates with you: failing critical tests, security findings, accessibility failures, and performance limits.

  What you get

  Written release rules in your pipeline, and fewer arguments on release day.

• What do we do about flaky tests?

  How we approach it

  We find the cause, fix or delete the test, and track flakiness so it does not creep back.

  What you get

  A suite your team trusts, with a failure rate you can see.

• How do we know quality is improving?

  How we approach it

  A small set of measures: escaped defects, time to fix, test run time, and release frequency.

  What you get

  A monthly view of the numbers, with the changes that moved them.

1. Phase 1

   2 weeks

   Review

   • Look at your releases, bugs, and test process with your team
   • Find the highest-risk journeys and the slowest checks
   • Measure a baseline for defects, release time, and test run time

   You receive

   Quality review, risk map, and a ranked automation plan.

2. Phase 2

   3 to 4 weeks

   Build the framework

   • Set up the test framework, data, and environments
   • Automate the first critical journeys and API checks
   • Connect the tests to your pipeline

   You receive

   A working suite running on every change.

3. Phase 3

   4 to 8 weeks

   Widen cover

   • Add performance, accessibility, and security checks
   • Introduce quality gates, starting in warning mode
   • Coach your engineers to write and review tests

   You receive

   Release gates switched on and a team that can extend the suite.

4. Phase 4

   Ongoing

   Keep improving

   • Track the quality measures every month
   • Remove flaky and slow tests
   • Add checks for new features as they ship

   You receive

   Monthly quality report and a short list of improvements.

How we keep tests trustworthy

Tests live in your repository

All test code is in your own repositories and reviewed like any other code, so you keep it.

Honest results

We report failures and flaky tests plainly, and do not turn off checks to make a dashboard green.

Safe test data

Tests use synthetic or masked data, never real customer records.

Fast by design

We set time limits for each suite and keep to them, because a slow suite stops being used.

Shared ownership

Developers write and fix tests too. Quality is not left to a separate team at the end.

Tools we use

Web and API testing

Playwright, Cypress, Selenium, Postman, REST Assured

Mobile testing

Appium, Detox, XCUITest, Espresso, BrowserStack

Performance

k6, JMeter, Gatling, Lighthouse

Accessibility and security

Axe, Pa11y, OWASP ZAP, SonarQube, Snyk

Contract and unit testing

Pact, Jest, Vitest, JUnit, pytest

Pipelines and reporting

GitHub Actions, Azure DevOps, Jenkins, TestRail, Xray, Allure

We work with the tools you already have where they fit, and suggest changes only when there is a clear gain.