Software Development
QA & Software Testing
Automated and manual quality assurance
The clearest sign that a system needs testing is that everyone is afraid to release. Changes get batched up because each deployment is a gamble, a fix in one place breaks something unrelated, and the same bug returns three months after it was closed. Testing is how a team gets the confidence to ship on a Tuesday afternoon.
We build quality into the projects we deliver, and we take on testing as standalone work for teams whose application has grown faster than its safety net.
What's included
What we do
Automated regression suites
the checks that prove the things that worked yesterday still work today, run on every change rather than remembered.
End-to-end tests
of the journeys that actually matter: sign-up, checkout, payment, booking, submission. If one of those breaks you lose money, so those come first.
API and integration testing
including the failure paths — timeouts, rejected payments, duplicate messages and partial failures that manual testing never reaches.
Manual and exploratory testing
because a person trying to break something deliberately finds the problems a script was never told to look for.
Cross-browser and real-device testing
on the browsers and phones your analytics say your customers actually use, not a generic matrix.
Performance and load testing
where the system's ceiling is, what fails first, and what it does when it gets there.
Accessibility testing
keyboard navigation, screen readers, contrast and focus order, against WCAG criteria.
Security testing
the common classes of vulnerability, dependency and configuration review, and authorisation checks that confirm one user's data stays out of another's account.
Bilingual and RTL testing
every screen verified in Arabic as well as English, which is where layout bugs, truncated text and mirrored icons surface.
Selected clients in Software Development
8 clients
Test automation, honestly
Automated tests are an investment with real running costs, and the wrong ones make a team slower rather than safer. A suite that takes forty minutes gets skipped. A suite that fails randomly gets ignored, and an ignored suite is worse than none because it costs money and provides no signal.
So we automate deliberately: the critical journeys and the logic where mistakes are expensive get thorough coverage; stable interface details get less; and we keep the suite fast and reliable enough that developers actually run it. Coverage percentage is not the target — the target is that a broken release is caught before your customers find it.
How we start with an existing product
- Risk assessment. Which flows lose money or trust when they fail, where the bugs have historically clustered, and what nobody dares touch.
- A test plan you can read. What will be covered, what will not, and why — agreed before we write tests, so the coverage matches your commercial risk rather than what is easy to automate.
- Critical paths first. The revenue and trust journeys get automated coverage before anything else.
- Into the pipeline. Tests run on every change in CI, blocking a merge that breaks something, because a suite someone has to remember to run is not a safety net.
- Reporting that is useful. What is failing, what regressed, what is flaky, and the trend over time — plus a triaged bug list with severity, reproduction steps and evidence, rather than a spreadsheet of complaints.
On working with Codigoo
The first thing they did was tell us to stop two campaigns we were proud of. That is when I knew they were reading the numbers and not the brief.
Questions we are usually asked
- Is this not just something developers should do?
Developers should test their own work, and on our projects they do. Dedicated QA adds something different: an independent perspective, adversarial thinking, and the systematic coverage that the person who wrote the feature is naturally blind to. The two are complements, not substitutes.
- How much testing is enough?
Enough that the failures you cannot afford are covered, and not so much that the suite becomes a second product to maintain. That balance depends on what a defect costs you — a bug in a payment flow and a bug in a footer link do not deserve the same effort, and treating them equally is how testing budgets get wasted.
- Can you test a system you did not build?
Yes, and it is a common engagement. We read the application from the outside as a user would, and from the inside where we are given access. You get the tests, in your repository, plus a written assessment of the risks we found.
- Will this slow down our releases?
The opposite, once it is in place. The reason teams release slowly is fear, and fear comes from not knowing what a change might break. A reliable suite converts a release from an event into a routine — that is the entire return on the investment.
If your team hesitates before deploying, or the same defects keep coming back, a consultation will tell you where the safety net is missing.
More in Software Development
All of this discipline- Web Application DevelopmentScalable web platforms and customer portals
- Mobile App DevelopmentNative and cross-platform iOS and Android
- E-Commerce DevelopmentOnline stores built to convert and scale
- Custom Software & Internal ToolsAdmin dashboards and operations tooling
- API & Systems IntegrationConnect ERP, CRM and third-party systems
- AI & AutomationIntelligent workflows and predictive models
Talk to us about QA & Software Testing
Thirty minutes with an engineer and a strategist who do this work — not a sales team. You will get an honest answer about whether it is the right thing to buy, and what it would realistically cost.