Five services. One firm. Fewer bugs in production.

Manual regression is slow, inconsistent, and doesn't scale. We build automated E2E regression suites using Playwright or Cypress that cover your critical user journeys, run on every PR, and catch regressions before they reach production.

Every suite includes CI/CD integration, test documentation, a maintenance guide, and 30 days of post-launch support. Built with robust selectors and intelligent waits — not brittle scripts that break on every UI change.

• User journey mapping and critical path identification
• Full E2E test suite to agreed coverage scope
• CI/CD integration with parallel execution configuration
• Test reporting with failure screenshots and traces
• Test maintenance guide and pattern documentation
• Engineer training session (2 hours minimum)
• 30-day post-launch support

API failures cascade silently through downstream systems before anyone notices. We build automated API test suites covering correctness, contract compliance, auth, error handling, and schema validation — integrated into CI so breaking changes surface on PRs, not in production.

For teams with third-party integrations, we implement consumer-driven contract tests with Pact. For internal APIs, we provide OpenAPI validation and schema regression coverage.

• Endpoint functional testing: happy path and error scenarios
• Schema validation against OpenAPI specification
• Authentication and authorization testing
• Consumer-driven contract testing with Pact (where applicable)
• Rate limiting and error handling coverage
• Security header and OWASP coverage for public APIs

Most teams discover their performance limits when traffic spikes unexpectedly. By then, it's too late. We design and execute load test scenarios that simulate real-world traffic at scale — finding the breaking point, the bottleneck components, and the remediation path before you're in production crisis mode.

We design profiles from your actual traffic data, run tests on your target infrastructure, and deliver a report identifying exactly what degrades first — with prioritized remediation recommendations.

• Baseline load: normal traffic volume with response time SLA validation
• Stress test: ramp-up to 5–20x normal load to find breaking point
• Spike test: sudden traffic surge simulation (campaigns, PR events)
• Soak test: sustained load over 2–4 hours to detect memory leaks
• Bottleneck analysis: queries, cache hit rates, API response times
• Remediation recommendations with priority ranking

Test suites degrade as products change. Without active investment, even well-built coverage becomes flaky and abandoned. We embed a senior QA engineering team in your product org on a monthly retainer — maintaining coverage, validating releases, writing new tests for new features, and reporting quality metrics weekly.

Most managed QA clients get the effective depth of a 2–3 person internal QA team at roughly 40–60% of the cost — no benefits, no onboarding overhead, no turnover risk.

• Continuous suite maintenance as your product changes
• Release validation with sign-off report before each deploy
• Monthly capacity hours for new coverage as features ship
• Weekly quality report: coverage, flake rate, defect escape rate, suite health
• Defect triage support with reproduction steps
• Quarterly QA roadmap review with expansion plan