Automated Testing
Manual regression testing does not scale. As your application grows, so does re-testing, until releases slow down and regressions reach production. We build automation suites designed for long-term maintainability: integrated into your CI/CD pipeline, mapped to real user journeys, and structured for your team to extend as new features ship.
What Goes Wrong Without It
Most teams know they need automation. Problems start when it is built quickly without architecture, never integrated into the pipeline, or abandoned after a few sprints because it breaks faster than it gets fixed.
As applications grow, manual regression grows with them. Teams spend the last two days of every sprint re-clicking the same flows, cutting time for new feature testing. Automation removes that ceiling — once in place, regression runs in minutes.
Without automated checks on every build, regressions surface late — in manual testing if you are lucky, in production if not. An automated suite catches them the moment they are introduced, when the fix is still cheap and the developer is still in context.
Teams wanting to ship weekly cannot do it if every release needs three days of manual testing. Automation decouples release frequency from QA headcount — once stable, every commit can be validated without adding to anyone's workload.
When time is short, testers prioritise obvious paths and skip edge cases. Over time this creates unacknowledged coverage gaps. An automated suite runs the full set every time, without prioritisation driven by deadline stress.
Automation built without architecture becomes a liability within months. Brittle selectors, hard-coded data, and duplicated logic mean every UI change breaks twenty tests. Poorly maintained suites get abandoned — often when the team most needs them.
Many teams have automation but no clear picture of what it covers. Without coverage mapping, passing tests give false confidence. A green pipeline that skips checkout, authentication, or data export is not a safety net — it is a gap with a green light.
Tools & Frameworks
We match the framework to the application and team — from end-to-end web suites and mobile automation to API testing and pipeline integration.
What We Cover
Automated testing spans framework architecture, regression suites, CI/CD integration, mobile and API coverage, visual regression, and ongoing maintenance — the twelve services below cover all of it.
Architecture-first setup using Playwright, Cypress, or Selenium — with page object models, shared utilities, and documented conventions built for long-term maintainability.
End-to-end regression suites covering critical user journeys, built to run on every build and return results in minutes rather than days.
Tests wired into GitHub Actions, GitLab CI, CircleCI, or Jenkins — every commit triggers a run and failures block deployment before reaching staging.
Suites running across Chrome, Firefox, Safari, and Edge in parallel, with per-browser results so cross-browser regressions are caught automatically.
Automated testing for iOS and Android using Appium or Detox, covering core user flows on real devices and emulators without manual testing every build.
Automated API suites covering endpoint behaviour, authentication, error handling, and data integrity — run in the pipeline so backend regressions surface early.
Automated performance checks in the pipeline to catch response time regressions before release, with baseline comparisons and threshold alerts.
DAST and dependency vulnerability scanning wired into CI so known security regressions are caught on every build, not discovered in a periodic audit.
Existing automation audited for brittle selectors, hard-coded data, and maintenance debt, then refactored so the suite stops breaking on routine UI changes.
Automated screenshot comparison to catch unintended UI changes — layout shifts, broken styles, missing elements — that functional tests pass without noticing.
Structured reports with pass/fail rates, failure reasons, and coverage maps showing what is covered and what is not — readable by developers and stakeholders alike.
Ongoing suite maintenance as the application changes, plus incremental coverage expansion each release cycle so the automation investment grows in value.
Who We Work With
We serve teams across every sector where the cost of a production regression — in revenue, compliance, or user trust — justifies a suite that catches it before it ships.
Why Devlon StedyDesk
A suite that breaks every sprint gets disabled. One that passes everything because it only covers two flows gives false confidence. The difference is in how the framework is designed before the first test is written. We build automation your team can maintain, extend, and trust — not a suite that looks impressive on handover day and degrades quietly over the months that follow.
Get a Free Automation AuditWe design the framework before writing a single test — page object models, reusable utilities, and naming conventions established up front so the suite stays maintainable as the codebase grows.
Automation that does not run on every build is not doing its job. We wire tests into your CI/CD pipeline during setup, not as an afterthought, so the suite validates real code from week one.
We produce and maintain coverage maps showing which journeys are automated, which are not, and where the highest-risk gaps are — so you always know what the suite is protecting.
Brittle automation gets disabled quietly. We use stable selector strategies and test isolation patterns that keep the suite green through routine UI changes without constant maintenance.
Failures include test name, failed step, screenshot, and log output — enough for a developer to reproduce the issue without a follow-up conversation or recording.
We document framework conventions, write a contribution guide, and run a handover session so your team can write new tests as features are built — not just run the ones we left.
Our team overlaps with US, UK, and Canada hours. Suite failures surfacing overnight are reviewed before your team starts the day so pipeline blocks do not sit unresolved through your morning.
Framework setup and suite development are quoted as fixed-price engagements with defined deliverables. Maintenance retainers are scoped by release frequency and coverage, not billed by the hour.
How We Work
Our eight-phase process ensures the framework is designed before scripts are written, tests are stable before sign-off, and your team knows how to extend it after we leave.
We map critical user journeys, existing coverage, and highest-risk flows. If a suite exists, we audit it for brittleness and gaps before recommending a path forward.
Tool selection, architecture, folder structure, page object model, test data strategy, and CI integration approach agreed and documented before any scripts are written.
Test environment configured, CI connection established, browser targets set, and baseline reporting wired in — infrastructure verified before test development begins.
Tests written against the agreed coverage map, prioritising critical journeys first. Each test is reviewed for stability before being added — not just checked for a passing run.
Suite integrated with run triggers, failure thresholds, and notifications configured. Tests run on every commit to agreed branches and block deployment on failure.
The suite runs against multiple consecutive builds to confirm no flaky tests. Flaky tests are fixed or quarantined before the suite is considered stable.
Once critical paths are stable, coverage extends to secondary flows, edge cases, and new features — each following the same review process as the initial build.
Framework documentation delivered, contribution guide written, handover session run. Ongoing maintenance support available as the application evolves.
What Is Included
The difference between ad-hoc automation and a professionally built suite is the architecture, pipeline integration, coverage visibility, and whether it is still running reliably six months after it was written.
Client Words
We had a Cypress suite nobody touched because it broke every sprint. Devlon StedyDesk refactored it in four weeks and wired it into our GitHub Actions pipeline. It has run clean on every commit for six months — the first time we have been able to say that.
Every release used to mean two days of manual regression. Now the pipeline runs in eighteen minutes and catches regressions before staging. We went from releasing twice a month to twice a week. The suite paid for itself in the first quarter.
What impressed us most was the coverage map delivered alongside the suite. We finally knew exactly what was tested and what was not, instead of hoping the green build meant everything was fine. The gaps became our manual testing priority list.
Questions, Answered
Framework setup and initial suite development for a mid-sized web application typically runs $4,000–$12,000 depending on user journeys in scope, CI/CD complexity, and whether cross-browser or mobile coverage is included. Legacy suite refactors run $2,500–$8,000 after an audit. Ongoing maintenance retainers covering suite updates per release cycle run $800–$2,500 per month. Every engagement is quoted as a fixed price with defined deliverables before work begins.
A stable suite covering critical user journeys of a mid-sized web application typically takes four to eight weeks. A broader suite including secondary flows, cross-browser, and API automation usually runs eight to fourteen weeks. Timeline depends on application complexity, flows in scope, and environment stability. You see working tests from week one — not at the end of the engagement.
Automated testing runs predefined checks on every build and is most effective for regression coverage on stable functionality. Manual testing uses human judgment and is most effective for exploratory testing, UX assessment, and edge cases that are difficult to script. The two work best together — automation handles repeatable regression work, manual testing covers the human judgment layer. We offer both and will recommend the right combination.
Yes. Starting from zero is common. We begin with a coverage audit to map critical user journeys and identify the highest-risk flows to automate first. Framework setup and suite development follows, prioritising flows that protect the most business value. You have a stable suite covering critical paths before we move to secondary coverage.
We integrate directly with GitHub Actions, GitLab CI, CircleCI, Jenkins, or your existing pipeline. Tests trigger on commit to agreed branches, with failure thresholds that block deployment when critical tests fail. Notifications route to Slack or email. Pipeline integration is set up during the framework build — not as a follow-on task — so tests run against real commits from week one.
Flaky tests are identified during the stability run phase before the suite is signed off. We fix flakiness at root cause — timing issues, race conditions, unstable selectors — rather than adding retry logic that masks the problem. Tests that cannot be made reliably stable are quarantined and documented. Ongoing maintenance retainers include flakiness monitoring and resolution as standard.
Every failure includes the test name, the assertion that failed, the step where it occurred, a screenshot at the point of failure, and relevant console or network log output. A developer can open the failure and reproduce it locally without a recording or follow-up conversation. Summary reports show pass/fail rates by suite, failure trends across recent builds, and the coverage map.
Automated DAST tools and dependency vulnerability checks integrated into your pipeline catch known vulnerability patterns on every build — OWASP-classified issues, outdated dependencies with known CVEs, and insecure HTTP configurations. This does not replace a manual penetration test, which covers business logic flaws that scanners miss. We offer both as part of our QA practice.
Yes. We build mobile automation using Appium for cross-platform coverage and Detox for React Native applications, covering core flows on iOS and Android via real devices and emulators through BrowserStack or Sauce Labs. Mobile automation is scoped separately from web automation due to different tooling, environment setup, and maintenance overhead.
Suite maintenance is included in our ongoing retainer arrangements. When UI changes break selectors, we update them. When new features are added, new tests are written and added to the suite. When flows are deprecated, tests are retired. Coverage maps are updated each release cycle. A contribution guide delivered at handover means your developers can also write tests for features they build.
Yes. Coverage maps are produced during framework setup and updated with every suite expansion. Reports show which journeys are covered by automation, which are manual only, and which have no coverage — giving your team and stakeholders an honest picture of QA posture rather than a pass rate that could be misleading if the suite only covers a fraction of the application.
Yes. Most clients move to an ongoing maintenance retainer after the initial build, covering suite updates as the application changes, flakiness resolution, coverage expansion for new features, and pipeline support. Retainers are scoped by release frequency and suite size, not billed by the hour. If you prefer to maintain in-house, we provide full documentation and a contribution guide.
Keep Exploring
Structured exploratory and regression testing by human QA engineers for coverage automation cannot replicate.
ExploreAutomated and manual validation of every endpoint — behaviour, authentication, error handling, and data integrity.
ExploreLoad simulations and benchmarking to find where your application slows down and what the real traffic ceiling is.
ExploreTell us about your application, your current release process, and where regression testing costs you the most time. We will respond with a clear automation scope, timeline, and fixed price within one business day.
