Quality is not a stage “at the end” of a project. It is a way of working that either sustains delivery speed or quietly kills it. When testing is manual and ad hoc, bugs surface late, and late means more expensive: in production, at the customer, sometimes after certification.
In our experience, QA outsourcing and test automation raise quality and speed at the same time. We did this in the context of smart manufacturing and Industry 4.0, building unit and integration tests and a CI/CD pipeline alongside software development.
Why does manual testing stop being enough?
The bigger the project, the clearer the limits of manual testing:
- regression grows faster than the team can check it by hand,
- bugs surface late, when the fix is most expensive,
- releases slow down, because every change needs manual verification,
- the lack of repeatability means quality depends on the person and the day.
What is test automation, and what does it actually speed up?
Test automation means moving repeatable checks into code that runs itself on every change. A well-built suite rests on the testing pyramid:
- many fast unit tests,
- a layer of integration tests checking how modules work together,
- a narrow top of end-to-end tests for the key paths.
This catches bugs early and cheaply, instead of only at the end.
Which QA skills do we provide?
On projects we have staffed, among others:
- unit and integration tests (GTest, CppUnit, Pytest),
- test automation and frameworks for the specific stack,
- CI/CD (Jenkins, GitLab, Gerrit) with tests in the pipeline,
- TDD and BDD as a way of working, not a buzzword,
- manual and exploratory testing where it makes sense.
How do you wire tests into CI/CD so they guard every change?
Tests pay off only when they run automatically. So we:
- wire tests into the CI/CD pipeline, so every change is checked,
- block changes that break the tests,
- report coverage and results in a way the team can read,
- keep the pipeline fast, so it does not become a bottleneck.
QA in embedded and industrial systems: what is different?
In software close to the hardware, testing has its own specifics:
- testing on real hardware, not just a simulator,
- determinism and response times in real-time systems,
- hardware-software integration as a separate area of risk,
- a quality rigour driven by standards and certification.
We brought this experience from industrial and Industry 4.0 projects, among others.
Which quality metrics are worth tracking?
For QA to genuinely improve the product, we watch a few indicators:
- test coverage as a hint, not a goal in itself,
- the number of bugs that escaped to production (escaped defects),
- the time from a change to feedback from the tests (the shorter, the better),
- test stability (flaky tests), because unstable tests destroy the team’s trust.
The most common test-automation pitfalls
In our experience, automation usually trips over the same things:
- automating everything at once instead of starting where the risk is highest,
- tests that are too slow, which drop out of the pipeline over time,
- flaky tests, which teach the team to ignore red results,
- tests with no owner, which rot after the first month.
That is why we automate incrementally and by risk, not “by volume”.
How fast can QA engineers join your team?
Speed and fit are the point. Because we verify skills before the start, the QA engineers who join are ready to work, not candidates to be trained. As a nearshore partner from Poland we work in a close time zone, so they genuinely join your working rhythm, code reviews and team meetings.
QA outsourcing or your own team: what pays off?
It depends on whether quality is a continuous need or a one-off catch-up. For ongoing development, team augmentation or a dedicated team works well; for cleaning up tests and the pipeline, a project with a clear scope. In both cases the point is that quality should not depend on a single person.
How do we do it at RITS?
We do it as a nearshore partner from Poland, with real experience in testing and quality:
- in smart manufacturing and Industry 4.0 projects we built unit and integration tests and a CI/CD pipeline (GTest, Jenkins, GitLab, TDD/BDD),
- we also provided testers to projects in other sectors, including finance,
- we verify skills before the start, and we treat tests as part of delivery, not an add-on.
Most often we do this as team augmentation (our QA engineers under your management) and, where it makes sense, as a managed service with a clear quality scope.
Where to start with cleaning up QA on a project?
Start from the places where bugs hurt the most, and from the question of what should be checked automatically on every change. That defines the automation scope and the roles you need. We covered the differences between engagement models in our article on IT engagement models.
Need to strengthen QA or roll out test automation? Let’s talk - we’ll match engineers and an approach to your project.