Automate the Checks You Repeat Every Release
Regression testing that takes days slows every release. We automate the repeat checks that save the most time first, run them in your build pipeline and keep them working. When a test finds a bug, our engineers can fix it.
Core stackPlaywright · Selenium · Postman · Apache JMeter · OWASP ZAP · SonarQube · Azure DevOps · GitHub Actions
When Automation Pays for Itself
Automation work usually starts when testing becomes the slowest part of a release.
Need a person to judge a new feature?
Automation repeats known checks. New features and user journeys still need manual testing.
Manual testingRegression testing takes days
Before each release, testers click through the same screens for days and still miss things.
Releases slow down because testing is manual
Features are ready but wait in a queue for testing, so releases go out less often than they could.
Old automated tests break constantly
The suite fails so often for no real reason that the team has stopped trusting it or running it.
Changes break things nobody expected
A fix in one area breaks another and nobody notices until a customer does.
Six Parts of Test Automation
Pick one to see what it usually involves and how we typically build it.
Choosing what to automate first
Ranking your checks by how often they run, how long they take and how much a miss would cost, then automating the top of the list first.
- Inventory of repeated checks
- Time saved per test
- Automation priority list
UI test automation
Automated tests that click through key journeys in the browser, such as sign-up, checkout and approvals, on every build.
- Core journey tests
- Cross-browser runs
- Screenshots on failure
API testing
Tests that check your APIs return the right data and errors. They run faster and break less often than testing everything through the UI.
- Request and response checks
- Error and edge cases
- Integration contract checks
Unit tests
Unit tests for the business logic in your .NET code, so developers catch mistakes before a change leaves their machine.
- Business rule coverage
- Tests for every bug fix
- Coverage reporting
Running tests in CI pipelines
Tests run on every commit or pull request, with results the team sees before code is merged.
- Pipeline test stages
- Pull request checks
- Failure notifications
Maintaining and repairing test suites
Fixing flaky tests, removing the ones that add no value and updating the rest so the team trusts the suite again.
- Flaky test fixes
- Suite cleanup
- Ongoing test upkeep
Time Saved First. Coverage Second.
Every engagement follows the same problem-first Systems Engineering Method we use across AppPotter.
Review how you test
We look at what is tested today, how long it takes and where releases wait.
Pick what to automate
Checks are ranked by time saved and risk. We agree the first set with you.
Set up the framework
The test framework and conventions are set up to fit your codebase and team.
Automate in increments
The highest-value tests go live first and run in your pipeline from day one.
Fix what tests find
Failures are triaged. Real bugs can be fixed by our engineers or passed to your team.
Maintain the suite
Tests are kept up to date as the product changes, so the suite stays trusted.
What Changes When Repeat Checks Run Themselves
We agree on what to measure during discovery, so success is defined before the build starts, not after launch.
Before: Days of manual regression before each release
After: Repeat checks that run on every build
Before: Features waiting in a testing queue
After: Shorter, more frequent releases
Before: A test suite nobody trusts
After: Stable tests the team pays attention to
Before: Bugs found late by customers
After: Bugs caught before code is merged
Before: Automation effort spread thin
After: The most time-saving checks automated first
Chosen for Your Systems, Not Our Preferences
We automate UI tests with Playwright or Selenium, API tests with Postman and unit tests with xUnit or NUnit, running in Azure DevOps or GitHub Actions. Where your team already uses other test tools, we work with those.
Where we have the deepest production experience
- PlaywrightUI automation
- SeleniumUI automation
- PostmanAPI testing
- Apache JMeterPerformance
- OWASP ZAPSecurity
- SonarQubeCode quality
- Azure DevOpsCI/CD
- GitHub ActionsCI/CD
Also used when the project calls for it
- Unit testing
- Performance
Senior Engineers, Directly Involved
- Founder-led delivery
Parth and Umesh are personally involved in every engagement.
From scoping the work to standing behind its outcome, backed by Parth's 14+ years of enterprise technology and delivery experience.
Meet our leadership - Current engagement · under NDA
A long-term software engagement with a US-based technology company.
Client identity and project details are undisclosed due to confidentiality obligations. We treat your work the same way.
See our approach
Ways to Work Together
- Advisory & Discovery
Short-term Strategy Engagements
For a focused, short-term engagement - an assessment, an architecture review, or technical due diligence - before any build begins.
- Comprehensive architecture reviews
- Due Diligence of your tech stack
- Roadmap and Estimation
- Fixed Price
Fixed Cost Model
For clearly-scoped integration or build work, where the outcome and boundaries are already well defined.
- Change Management process
- Milestone-based delivery
- Quality & SLA Commitments
- Dedicated Team
Dedicated Product Engineering Team
For long-term product or systems work - a sustained AppPotter engineering team working against your roadmap, not rotated project to project.
- Seamless onboarding and roadmap planning
- Fixed Monthly Retainer
- PO/Tech-lead Collaborations
Whichever structure fits, Parth and Umesh are personally involved, from scoping the engagement to standing behind its outcome.
Meet our leadershipPart of Custom Engineering
We build custom only when an existing platform, integration or standard product can't solve the business problem.
Automation Testing FAQs
Still unsure? A 30-minute conversation usually answers the rest.
Book a callThe checks you repeat most often that take the longest and would hurt most if missed. That usually means core user journeys and the APIs behind them.
Playwright suits most new web projects because tests run fast and fail less often for no reason. Selenium makes sense when you already have a Selenium suite or need a language Playwright does not support.
Yes. We find the flaky tests, fix or remove them and update the rest, so the suite becomes something the team trusts again.
No. Automation handles repeat checks. New features and usability still need people. The aim is to free testers for the work that needs judgment.
Yes, if you want us to. Testing is part of how we engineer software, so the same team can find the problem and fix it.
Most start with a fixed-price first set of automated tests. Further automation and upkeep can be fixed price or part of an ongoing arrangement.
Tell Us What Slows Your Releases Down
We'll look at how you test today and tell you honestly which checks are worth automating first.
Book a GTM Systems Assessment30-minute call · No obligation · No sales pitch