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Testing Engineering / QA for AI-Built Apps

QA for AI-Built Apps

Apps built with Lovable, Bolt, Cursor or other AI tools often work in the demo and break in real use. We test AI-built apps end to end, find the bugs, data issues and missing checks, and add tests so fixes stay fixed.

What Is QA for AI-Built Apps?

QA for AI-built apps is focused testing of applications generated with AI coding tools. These apps are built fast, often without tests, and tend to share the same problems: data saved only in the browser, logic that breaks on edge cases, inconsistent numbers between screens, and missing access checks. QA finds these before users do.



Common Problems We Find

Problem

Example

Data stored in the browser

Progress or history lost when users switch devices

Inconsistent calculations

A streak or total differs between two screens

Timezone bugs

Daily rewards or deadlines trigger at the wrong time

Missing access checks

Users can see or change other users' data

Works in preview, fails in production

Environment variables, URLs or keys differ after deploy

No tests

Every change risks breaking something else



This Is For You If...

  • Your app was built with Lovable, Bolt, Cursor, Replit, Base44 or Claude Code

  • Users report bugs you can't reproduce

  • The specification is outdated or never existed

  • You're about to onboard real customers, a college or a client

  • You want to keep building with AI tools but need a safety net



What We Do

Functional Test Pass

A full walk-through of every user flow, with a ranked bug report.

Data and Logic Checks

Verify that numbers, scores, dates and saved data are correct and consistent.

Access Control Tests

Check that users only see their own data. See AI-Built App Audit.

Automated Tests

Playwright and API tests so future AI-generated changes don't break what works. See End-to-End Testing.

Fixes

Bug fixes by our engineers, or a handover to your team. See Vibe Coding Rescue.



Common Mistakes to Avoid

Instinct

Why It Doesn't Help

Do This Instead

Asking the AI tool to fix each bug as it appears

Fixes often break other features

Add tests first, then fix

Testing only the happy path

Edge cases are where AI-built code fails

Test empty, invalid and boundary inputs

Skipping QA before launch

Users find the bugs

Run a full test pass before real users arrive



How It Works

1. Explore

Map every flow, since specs are often missing

2. Test

Manual and automated testing of each flow

3. Report

Ranked bugs with steps to reproduce

4. Fix

Fix critical bugs or hand over to your team

5. Protect

Add automated tests for the key flows



Why Codersarts

We rescue and harden AI-built apps every week, so we know where they break and how to fix them without a full rebuild.



Turnaround Time

A functional test pass for a typical AI-built app takes 1 to 3 days. Adding automated tests takes 1 to 3 days more.



FAQ

Do you test apps built with Lovable and Bolt?

Yes, along with Cursor, Replit, Base44, Claude Code and other AI tools.

Can we keep building with AI after testing?

Yes. Automated tests act as a safety net, so AI-generated changes that break features are caught.

Do we need a specification?

No. We map the app's flows ourselves, and the result doubles as documentation.

Do you test AI features like chatbots?

For LLM outputs, see LLM Evaluation.

Is our project kept confidential?

Yes. Your code, data, and test results stay confidential, and an NDA is available on request.



Fixed-Price Tasks to Start With



Related Services



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