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Test suites that AI maintains as your code evolves.

Test generation, regression triage, flaky-test detection. Agents do the maintenance, humans set the policy. Coverage that doesn't decay.

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Service
Infrastructure
60-80%
Reduction in test-maintenance time
Smart
Test selection (changed-code aware)
Stable
Coverage that doesn't decay
Triaged
Flaky tests, auto-quarantined
Overview

Why this engagement exists.

On the suites we maintain, teams cut test-maintenance time 60-80% in the first quarter, not by writing more tests by hand, but by wiring AI into the workflow so coverage stays current and flaky tests get triaged automatically. The pattern is framework-agnostic: Jest, Vitest, Playwright, Pytest, Go test. Your engineers stop paying the maintenance tax; the coverage stops decaying.

What you get

Deliverables, not promises.

Every engagement ships these artefacts. Nothing here is fluff. Each item is something your team will hold in their hands at the end.

Test framework audit

Coverage map of your current suite, with flaky-test inventory and runtime budget.

AI-generated scaffolds

Unit + integration test scaffolds from your code, reviewed by humans before merge.

Smart test selection

Changed-code-aware selection runs the tests that matter, not the whole suite, every PR.

Flaky-test detection

Auto-quarantine flaky tests with a triage queue and weekly fix-or-delete reviews.

Coverage dashboards

Per-team coverage trends, surfaced where engineers will see them (not buried in a wiki).

Team training

Workshop on the AI testing workflow + a playbook your team owns after we leave.

How we work

The process, step by step.

No mystery, no consultant theatre. This is how the work actually flows from kickoff to handover.

  1. Step 1

    Audit the current suite

    Coverage map, flake inventory, runtime budget. We know where we are before we change anything.

  2. Step 2

    Set up generation pipeline

    AI test scaffold generation wired into the PR workflow, behind a "review before merge" gate.

  3. Step 3

    Smart selection

    Test selection runs the tests that the PR can actually affect. Saves hours per PR on large suites.

  4. Step 4

    Flake triage

    Detection + auto-quarantine + weekly fix-or-delete review. Flakes stop blocking the team.

  5. Step 5

    Dashboard + training

    Coverage dashboards + a team workshop. Your engineers own the workflow afterwards.

One example: the Jest + Playwright suite on a 400k-line clinical platform, where changed-code-aware selection and auto-quarantine bounded the maintenance the team had been paying every sprint. Results vary with your starting coverage and framework, but the harder gain is that engineers stop avoiding tests once the rot is bounded.

FAQ

The questions that actually come up.

No. AI writes the volume tests (CRUD, structural, edge cases). Your engineers design the high-judgement tests where logic matters. Both are reviewed before merge.

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Ready to scope AI-Driven QA + Testing?

A 30-minute call. We map your situation against the engagement, give you a real estimate, and tell you honestly whether we are the right team for this.

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