Ship with Confidence — Zero Bugs in Production

We automate anything that runs frequently, is regression-prone, or requires data-intensive coverage (API testing, critical user paths, cross-browser checks). Manual testing is reserved for exploratory work, usability validation, and edge cases that are too costly to automate. We give you a coverage matrix that explains every decision.

GitHub Actions, GitLab CI, CircleCI, Bitbucket Pipelines, Jenkins, and AWS CodePipeline. We also integrate test results into Slack, Linear, and Jira so failures surface immediately where your team already works.

Coverage percentage alone is a misleading metric — 80% coverage over the wrong tests means nothing. We focus on covering all critical user paths, all API contracts, and all known failure modes first. We recommend a minimum of 70% line coverage for new code, but we always prioritise coverage quality over raw percentage.

We establish a baseline in the first week, agree on SLOs (p95 response time, max concurrent users, error rate threshold), and run load tests against those targets before every major release. We also set up continuous performance monitoring so regressions are caught before they become incidents.

Yes — and we always do. Tests run on every pull request, reports are posted in GitHub, and the QA dashboard integrates with whatever project management tool you use. We make quality visible without adding process overhead.

Yes. We use BrowserStack's real device cloud, which gives access to hundreds of iPhone and Android device/OS combinations. We prioritise the top 5 devices by your analytics, then cover a representative sample of older and edge-case devices.

Security scans run automatically on every CI build using OWASP ZAP and Snyk. Dependency vulnerability alerts are sent to your team daily. Full penetration testing (manual) is recommended quarterly or before major releases — we coordinate with our network of certified pentesters.

Building an automation suite for a mid-size product typically takes 4–8 weeks and starts around $15k. Ongoing QA-as-a-service (embedded QA engineer per sprint) starts at $4k/month. We give a precise quote after reviewing your codebase and test requirements.