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Test automation that runs on every change, so releases stop being a gamble

Manual regression testing gets slower as an application grows, so it gets cut short, and the bugs it would have caught reach your users. We build automated tests for web applications, mobile apps and APIs, run them in your build pipeline on every change, and keep them reliable enough that a failure means something.

What to automate

A test strategy before a test suite

Not every test should be automated, and not every automated test should drive a browser. Most checks belong in fast unit and API tests that run in seconds. A smaller set of end-to-end tests walks through the journeys that matter most, such as signing in, placing an order or submitting a claim. Some exploratory testing stays with people.

We start by listing the journeys and rules your business cannot afford to break, looking at where your defects have come from, and agreeing what will be tested at which level. That plan decides what we build first, so the earliest tests protect the riskiest parts of the application.

What we do

  • A risk-based test plan agreed with your team
  • Unit, API and end-to-end tests at the right levels
  • The critical journeys covered first
  • Realistic test data with no personal information in it

Web, mobile and API

The right tool for each kind of test

For web applications we write browser tests with Playwright or Selenium, which drive real browsers through the same pages your users see. We use Playwright every day: our own procurement agent signs in to five government procurement portals with it each morning. Mobile apps are tested with Appium on iOS and Android. APIs get functional and contract tests that check every endpoint's responses and errors, and load tests with Apache JMeter show how the system behaves before your busiest day does.

We fit the tools to your stack and your team's languages, so your developers can read, run and extend the tests after we hand them over.

What we do

  • Browser tests with Playwright or Selenium
  • Mobile app tests with Appium
  • API functional and contract tests
  • Load and performance tests with JMeter

In the pipeline

Tests that run on every change

Tests help only if they run. We put them in your build pipeline, in Azure DevOps, GitHub Actions or Jenkins, so every pull request runs the fast tests and every release candidate runs the full suite. A failed test stops the release and tells the developer which change caused it.

Flaky tests are fixed or removed, because a suite that fails at random teaches people to ignore it. We use stable selectors, isolated test data and waits for real conditions rather than fixed delays, and we report pass rates and run times so a slow or unreliable suite is noticed early.

What we do

  • Tests wired into Azure DevOps, GitHub Actions or Jenkins
  • Fast checks on every pull request, the full suite before release
  • Flaky tests fixed, not retried until they pass
  • Reports on pass rate and run time

Changing older systems safely

A safety net for modernization and migration

Tests matter most when you change something old. Before a monolith is split into services, or a database moves to the cloud, we record how the system behaves today in automated tests, then run them after every step. That is how the business keeps running on the old system while the new one grows around it, and how a migration shows that nothing changed that should not have.

Questions

Common questions

Which tests should we automate first?

The ones that protect what would hurt most if it broke, and that people repeat most often: sign-in, payments, orders, the calculations behind invoices or claims. API tests usually come before browser tests, because they are faster to write and more stable.

Playwright or Selenium?

Both drive real browsers. Playwright is newer, waits for pages automatically and tends to produce steadier tests; Selenium has the longest track record and supports more languages and older browsers. If you already have a Selenium suite that works, we extend it rather than rewrite it.

Will automated tests replace our testers?

No. They take over the repetitive regression checks, which frees testers for exploratory testing, new features and the cases that need judgment. Testers are often the right people to decide what the automated suite should cover.

What happens to the tests after you hand over?

They live in your repository, run in your pipeline and are written in a language your developers use, with a short guide to adding new ones. We can keep maintaining them, or train your team to.

Related services

On-site IT support across New Jersey, New York City and Philadelphia. Remote services wherever you are. Areas we serve →

Are releases held up by manual testing?

Tell us what you build and how you test it today. We will suggest what to automate first and how it would fit your pipeline.

Tell us what you are working on

A few lines is enough. The engineers who do this work will reply within one business day.

Or email it.services@princetonits.com or call +1 (212) 507-9350.