AI app QA

QA testing for AI-built and vibe-coded apps.

Built your app with Claude Code, Cursor, Lovable, Bolt, Replit, v0 or another AI coding tool? It probably works on the happy path. We test everything else before your users find it.

Where AI-built apps usually break

AI coding tools write working features fast, but they rarely check what happens around them. We go through the parts that cost you users, data or money when they fail.

How we test: QA from the start

The same flow we run on every project, from the first requirement to the day after release.

  1. Requirement

    1. Analyse the business and its users
    2. Map the critical paths and end-to-end flows
  2. Design

    1. Write the test cases
  3. Development

    1. Manual and automated tests for each feature
    2. Regression testing
    3. Exploratory testing
  4. Release

    1. Release integration tests
    2. User acceptance testing (UAT)
    3. Post-deployment check, reported within 2 hours of your go signal

Automated suites built with Playwright, Cypress and Selenium.

What you send us

AI app QA packages

Fixed scope, clear report. Start with a launch check, or keep us on while you keep shipping with AI.

Before launch

AI Launch Check

A full pass over your critical paths before you go live, with a prioritised bug report.

Price on request

Data and money

Security & Data Audit

Permissions, data exposure, APIs and payments: the failures that leak data or lose revenue.

Price on request

Every release

Ongoing QA

Regression and post-deployment checks on every release while you keep building with AI.

Price on request

Proof

We test our own AI-built app this way

ShipMe Delivery, our own app built with AI coding tools, goes through this exact process before every release.

See ShipMe Software testing services 
ShipMe customer app: the home hub, live order tracking with “Tài xế đã lấy hàng”, and a restaurant menu

Shipping an app built with AI?

Get a quote