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Service

AITesting

A test suite your team actually trusts.

pull-request-suite · exampleRunning
pull-request-suite, an example runA pull request fans the suite out across three parallel lanes: 812 unit tests, 341 integration tests and 131 end-to-end tests, each with a trace captured. The lanes converge on a flake check that re-runs and compares before annotating the result back onto the pull request.Pull requestor nightlyUnit · 812Integration · 341End-to-end · 131Flake checkre-run, compare, annotate the PR13 held
1,284 tests · 6m 04s wall clocktrace kept per test
  • E2E automation
  • Flake elimination
  • Visual regression
  • CI integration
Theproblem

An ignored suite is worse thanno suite

Once a red build is assumed to be flake, the suite has become a slow, expensive way of producing no information, and the real bug it caught ships anyway, because someone hit re-run.

Anees

Full Stack Developer · leads this service

Our approach

We derive coverage from the paths users really take, treat flake as a defect rather than weather, and deliver failures with a reproduction attached so triage becomes a decision instead of an investigation.

What youget

  • Coverage and trust audit of the current suite
  • Stabilised suite with flakes quarantined or fixed
  • New E2E coverage across ranked critical paths
  • CI wiring plus a written policy for red builds
Flake
Quarantined
Coverage
Path-ranked
Failures
Reproducible
Capabilities

What AI Testingincludes

Scoped per engagement. We start with whichever of these removes the biggest constraint first.

Path-derived end-to-end coverage

Suites generated from real user journeys and analytics, so coverage follows what matters rather than what was easy to write.

Flake detection and quarantine

Non-deterministic tests are identified and pulled out of the signal path instead of being retried until green.

Visual regression

Layout and rendering are checked as deliberately as behaviour, because that is where silent breakage lives.

API and contract testing

Schema and contract verification between services, so an integration break surfaces before a customer finds it.

Failure triage

Each failure arrives with a reproduction, a diff and a first guess at the change that caused it.

CI and reporting

Parallelised runs, sharding, and a dashboard that shows trend rather than a single red or green light.

Delivery

Howa project runs

Typical shape for this service. Timings move with scope, the order does not.

  1. 01

    Audit

    Week 1

    We measure current coverage and, separately, current trust: how often a red build is actually believed.

  2. 02

    Stabilise

    Week 1–3

    Existing flake is fixed or quarantined first. Adding tests to an untrusted suite only makes it worse.

  3. 03

    Extend

    Week 3–8

    Coverage grows along paths ranked by traffic and blast radius, not file by file.

  4. 04

    Hand over

    Ongoing

    The suite, the CI wiring and a policy for what happens when something goes red.

Typicalstack

Tools we reach for

Chosen per engagement and biased toward what your team can maintain after we leave.

  • Playwright
  • TypeScript
  • pytest
  • GitHub Actions
  • Docker
  • LLM APIs
Commonquestions

The questions we getabout Testing

  • Do you replace our QA team?

    No. We build the automation layer so manual QA moves to exploratory testing, which is where people are far better than scripts.

  • Our suite takes 40 minutes. Can that improve?

    Usually, through parallelisation, sharding and removing tests that duplicate coverage. We measure before promising a number.

  • Which frameworks do you work with?

    Playwright and Cypress on the front end, pytest, Jest and Vitest underneath. We adopt what you already run where it is sound.

Starthere

Tell us the process,not the solution.

The most useful first message describes what someone on your team does by hand today and how often. That is enough for us to tell you whether it is worth building.

What happens next
  • A named engineer reads it, not a form inbox
  • Reply within 24 hours, even if we're not the right fit
  • A 30-minute call to trace the process end to end
  • A fixed-scope quote, or an honest no