We build these suites and keep them working, also for software we did not write, and your team, or ours, approves every change.
Each release costs hours or days of clicking through the product, and bugs still slip through.
Nobody ever automated, so the team deploys less often than it would like to.
You automated two years ago, it went flaky, and today it is switched off in CI. The most common case, and not a skill problem: maintenance never fit anyone's job.
of organizations still ship untested code to production.
of organizations say the volume of AI-generated code has grown too large for their teams to test fully.
of practitioners agree AI-generated code requires more testing than human-written code.
Repairing tests after every product change made suites expensive. AI now does that repair, and each change it makes to the suite is reviewed twice.
Left unchecked, an AI agent can make a failing test pass by checking less. A second AI model that did not write the change looks for that and blocks it.
Our forward deployed engineers, senior engineers of ours who work inside your team, define the expected behavior. An engineer on your team, or ours, approves each change before it is merged.
QA automation is a line of the AI Software Factory, which turns a specification (what a change must do and how to check it) into code.
We walk your product with you and map the flows that matter: which get protected, which do not, and why.
We write the suite against those flows, with expected values calculated independently rather than read off the screen under test.
We connect the suite to your CI, so it runs on every change.
When the product changes, AI repairs the tests and an engineer on your team, or ours, approves each repair.
The suite, in Playwright and TypeScript, in your repository. Code you can read, run and keep. If you stop working with us, it still runs.
A navigable report of every run, with test results and screenshots as proof that it works.
A coverage map against your flows: which are protected, by which test, asserting which behavior.
Declared exclusions with a manual plan: what we do not automate, why, and what it costs to check by hand.
Done means: the flows on the coverage map pass in your CI on every change, and every exclusion lists its manual time.
Playwright with TypeScript by default. Already on Cypress, Selenium or WebdriverIO? We continue there, and migrating is never a condition for working with us.
End-to-end web. Full user journeys through a real browser, checking what the product does, not just that a page opened.
API. Covered inside the same suite, with the same fixtures and authentication, so there is no second framework to maintain.
Accessibility checks. Automated rules run in the suite and catch roughly a third to a half of issues. They do not replace a manual audit.
Unit and integration tests stay with your team. We integrate with what already runs and leave it as it is.
Everything runs in your infrastructure: your repository, your CI, your environments.
Least access: we get only the access the work needs, and it ends when the engagement does.
Secrets stay out of the repository, in your secret manager and environment variables. Test results and screenshots are checked so they do not expose them.
The first job is diagnosis. Some suites need stabilizing and some need regenerating, and we will tell you which one yours is before anyone touches it.
You do. They are code in your repository from the first commit.
No. The suite runs where your pipeline already runs.
The suite follows. AI repairs the tests against the defined behavior, and an engineer on your team, or ours, approves each repair.
No. Judgment calls, one-off visual reviews, and cases where reproducing the conditions costs more than checking by hand stay manual. We list which ones, why, and how long they take by hand.
One working session: we walk the flows that matter in that module, and you leave with the coverage map and the plan.