QA & Quality Engineering

Catch the bugs before your customers do.

A bug in production is a refund, a one-star review, and a fire drill all at once. We build complete QA — automated pipelines, manual regression, load and performance validation, security auditing — so defects die in CI, not in front of users.

  • Quality gates in CI
  • Playwright · Cypress · k6
  • Deploy on a Friday

Bugs die in CI, not in front of users

commit
unitintegratione2eload

Caught at the gate

3 defects ✕

blocked from merge

Reached production

0 defects ✓

deploy on a Friday

−93%

Defects escaping to production

88%

Automated test coverage

40 min

Automated regression (was days)

2 wks

To a working test pipeline

Quality, engineered in

Defects die in CI, not in production

Real quality isn't a testing phase at the end — it's gates and coverage built into the pipeline so bad code can't ship in the first place.

Automation that gates every merge

Unit, integration, and end-to-end suites in your CI mean broken code can't reach main — defects die at the gate, not in front of users.

Manual testing where it counts

Exploratory and regression testing for the UI and the weird edge cases automation never thinks of — humans on the parts that need judgment.

Proven under load

Load and performance testing with k6, JMeter, and Locust finds the bottleneck before launch day does.

Security in the pipeline

Vulnerability and dependency scanning built into CI, so security issues surface in review, not in an incident.

From flaky to bulletproof

How we build a quality pipeline

Four steps turn 'we hope it works' into a gated pipeline that proves it does — on every commit.

  1. 1

    Audit & plan

    We assess your current quality posture and design a test plan and case library targeting your real risk areas.

  2. 2

    Build the automation

    Automated test suites in Playwright/Cypress wired into your CI, with the right coverage on the journeys that matter.

  3. 3

    Gate the pipeline

    Quality gates block failing builds from merging, so quality is enforced automatically on every commit.

  4. 4

    Run regression & load

    Scheduled regression plus load, performance, and security runs keep releases stable as the product grows.

Quality engineering, in production

Plotpoint: from a release everyone feared to deploying on Fridays

A streaming-media product shipped with manual testing and a defect making it to production almost every release. We built the automated quality pipeline they were missing.

Plotpoint Media

Growth-stage streaming platform · USA

MediaTech · Streaming
Defects escaping to production93% fewer escapes
Before
baseline
After
−93%
QA cycle per releaseautomated regression
Before
3 days manual
After
40 min automated
Automated test coverage88% covered
Before
31%
After
88%
−93%

Escaped defects

88%

Automated coverage

40 min

Regression (was 3 days)

0

Rollbacks since launch

Every release was a held breath and usually a hotfix. Now the pipeline catches it before merge, regression runs in under an hour, and we ship on Fridays without flinching. That's a different company to work at.
Engineering Manager, Plotpoint Media
PlaywrightCypressJestk6GitHub ActionsAWSRead the full case study

Straight answers

QA & quality engineering questions

What does a QA and quality engineering service include?

It covers the full quality stack: a test strategy and test plan, automated unit/integration/end-to-end test suites, manual exploratory and regression testing, load and performance validation, and security scanning — all wired into your CI/CD so quality is enforced on every commit.

Which test automation frameworks do you use?

We specialize in Playwright, Cypress, Selenium, Jest, and Appium for mobile, integrated directly with GitHub Actions or GitLab CI. We pick the framework that fits your stack rather than forcing a one-size-fits-all tool.

Do you do manual testing as well as automation?

Yes. We combine manual exploratory and regression testing for UI and edge cases with automated coverage for APIs and critical user journeys — automation for repeatability, humans for the things automation misses.

How do you test load and performance?

We use k6, JMeter, and Locust to simulate traffic peaks and find database and compute bottlenecks before a launch, so your system is proven under load rather than discovered under load.

How does this reduce production bugs?

Quality gates in CI block any build that fails tests from merging, so defects are caught at the gate instead of in production. Teams typically see a steep drop in escaped defects and can deploy with confidence — even on a Friday.

Make the next release a non-event.

Point us at your app and your CI. We'll build the automated quality pipeline that catches defects at the gate — so launches stop being a held breath.

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