Automated Software Testing
Test automation means software that checks your product still works, run automatically every time a developer changes something. DevMations builds these checks, fixes the ones that fail unpredictably, and makes them fast enough that your team waits for the result instead of ignoring it.
Also called test automation · Playwright · Cypress · CI testing · flaky test remediation
Why teams call us about this
The checks take forty minutes, fail at random, and everyone has learned to just run them again rather than read what they said. At that point they have stopped protecting you and started costing you — and the team routes around them, which is how bugs reach customers.
What you get out of it
- Bugs caught before release instead of by a customer
- Developers ship faster, because they are not waiting on or working around the tests
- A green result means something again
What you actually receive
Working software and documentation — not a report recommending that somebody else build it.
Checks on the journeys that matter
Signup, payment, whatever your business runs on — written clearly enough that whoever debugs one at 2am can follow it.
An end to the random failures
We find out why tests fail unpredictably and fix the cause, rather than adding retries until the symptom is hidden.
A much faster run
Split up and run in parallel so it finishes in minutes, not the better part of an hour.
Clean, repeatable test data
So tests stop failing because of something a previous test left behind — a very common and very confusing cause of false alarms.
A deliberate coverage plan
Effort spent where the business risk actually is, rather than wherever tests were easiest to write.
The engagement
- 01
We measure what you have
How long it takes, how often it fails for no reason, and whether it covers what matters. The unreliability figure is usually the shock.
- 02
We make it trustworthy
Fix or delete the unreliable tests first. There is no point adding to a suite nobody believes.
- 03
We extend the coverage
Following the plan, into the places where a failure would actually cost you something.
- 04
We make it fast
Until the wait is short enough that people stop merging past it.
Under the hood
The specifics, for whoever on your side will be reviewing this. If that is not you, nothing below changes what you get — skip to the work.
- Suite architecture
- Playwright or Cypress with page objects kept thin, fixtures over shared setup, and assertions that fail with a message naming the actual problem.
- Flake root-causing
- Per-test flake rate measured over repeated runs to find the small number causing most of the pain. Fixed at source — implicit waits, shared state, non-isolated data — rather than retried.
- Pipeline performance
- Sharding, parallel workers, dependency and browser caching, and test-impact analysis so a small change does not trigger the full suite.
- Test data
- Factory-generated, isolated per test, torn down deterministically. Database seeding via transactions or containers rather than shared fixtures.
- Coverage strategy
- An explicit decision about what is verified at unit, integration and end-to-end level, so the slow brittle layer stays small.
What we use
- Playwright
- Cypress
- Jest
- Vitest
- GitHub Actions
- Docker
- TypeScript
- Allure
Where we have done this
Live deployments you can open.
FinX Banking
A personal banking product with Plaid account linking and Dwolla transfers, covering multi-account balances, transaction history and bank-to-bank payments.
Open live site
I-CONTA
An accounting and tax consulting platform where clients upload documents, view their financial position and run tax calculations without waiting on their accountant.
Open live site
DocuFlex
A collaborative document editor with authentication, multi-format upload, real-time editing and share links.
Open live siteAutomated Testing — questions
- Our tests fail randomly. Where do you start?
- By measuring which ones do it and how often. It is almost always a small handful causing most of the disruption, and those get properly fixed or removed before anything new is added.
- How much testing is the right amount?
- Less of the slow kind than most teams assume. Full end-to-end checks are expensive and fragile, so they belong on the journeys that genuinely matter, with faster and cheaper checks doing the bulk of the work underneath.
- Can you work with the setup we already have?
- Yes. We work in GitHub Actions, GitLab, CircleCI and Jenkins, and we would rather improve what you have than move you onto something new for our convenience.
Thinking about Automated Testing?
Describe what you have and what is going wrong with it. We will tell you what we would do first, and whether it is worth doing.
Book a call