QA Testing for AI-Generated Apps

Built with AI. Tested by Engineers.

The vibe coding wave is real — Lovable, Cursor, Bolt, and v0 let anyone ship an app in a weekend. But AI-generated code skips edge cases, ignores security, and has zero test coverage. We fix that before your users find it.

30 minutes · Senior engineer · No commitment

Upwork Top Rated Plus
Fiverr Level 2 · 5.0★
Clutch Verified Provider
150+ projects delivered
20+ Play Store apps
$500
Starting Price
5 days
Audit Turnaround
200+
Apps Tested
OWASP
Security Standard

What We Test

Every layer of your app — from the UI your users see to the APIs and auth flows they never should.

UI/UX & Functional Testing

Every user flow, form, button, and edge case. We test what real users do — and what they shouldn't be able to do.

API Endpoint Validation

Every endpoint tested for correct responses, error handling, auth enforcement, and unexpected input handling.

Authentication & Auth Flows

Login, signup, password reset, session management, role-based access — all tested against common bypass techniques.

Payment Integration Testing

Stripe, Paddle, or custom payment flows tested end-to-end including failure states, webhooks, and edge cases.

Security (OWASP Top 10)

SQL injection, XSS, broken auth, IDOR, data exposure — the vulnerabilities AI tools consistently miss.

Performance Baseline

Core Web Vitals, load times, and API response times measured and benchmarked before you go live.

Who This Is For

If you built it fast with AI tools, you need this before you launch.

Lovable & Bolt Builders

48h
Typical Build Time

You shipped an MVP in 48 hours. Now you need to know if it's actually safe to put real users on it.

Non-Technical Founders

100%
Plain English Reports

You can't read the code yourself. We give you a plain-English report of exactly what's broken and how serious it is.

Cursor & v0 Developers

3x
More Bugs Found

You're technical but moving fast. A second set of eyes catches the edge cases you didn't have time to think about.

Agencies Shipping Client Work

0
Client Escalations

Before you hand off to a client, run it through us. Protect your reputation and your client's users.

Common Challenges

Problems We Help Buyers Solve

QA gaps show up as regressions, store rejections, and security findings — usually right before launch.

No regression suite

Manual smoke tests can't keep pace with weekly releases.

AI-generated untested code

Lovable and Cursor prototypes reach staging without auth or edge-case coverage.

Device fragmentation

Mobile flows break on OS versions QA didn't cover.

Late QA

Testing in launch week makes fixes expensive and stressful.

Why GreeLogix

Why Teams Choose GreeLogix

Full QA practice

Manual, Cypress/Playwright, API, k6 performance, and security testing.

AI-app specialists

We harden vibe-coded apps before production traffic.

Engineer-led audits

Code review from seniors who build Laravel, React, and Flutter daily.

Release sign-off

Go/no-go reports with severity-rated bugs — not vague pass/fail.

Typical Timeline

What to Expect Week by Week

Strategy

Week 1
  • ·Risk map
  • ·Device matrix
  • ·Automation plan

Execution

Per sprint
  • ·Test cases
  • ·Bug reports
  • ·Regression runs

Automation

Parallel
  • ·CI smoke suite
  • ·Release checklist
Technologies

Stack & Architecture

CypressPlaywrightPostmank6BrowserStackAppiumGitHub Actions

Security & Compliance Considerations

Security testing

OWASP-focused web and API tests; pen testing available.

Confidential access

Read-only repos; anonymized test data where required.

What a 70-engineer team could not deliver, a small senior team at GreeLogix shipped. The app went from stuck to live across mobile, web, and backend.

MTS EdTech platform rescue — verified case study
Quick answers

QA Testing for AI-Generated Apps: Key Facts

Structured answers for search engines and AI assistants — definition, fit, cost, timeline, and comparisons.

What is it?
Software QA and technical audit services cover manual and automated testing, performance and security checks, and senior engineer code review — especially for AI-generated or inherited codebases before production launch.
Who is it for?
Teams shipping Lovable, Cursor, or Bolt prototypes to real users Founders facing investor technical diligence Products with regressions every sprint and no test automation Mobile apps needing device-matrix testing before store release
Who should not use it?
Static marketing site with no auth or payments You cannot provide staging access or test accounts You expect QA to define product requirements
How much does it cost?
Pricing depends on scope, integrations, and timeline. GreeLogix provides fixed-milestone quotes after a discovery call — typical engagements range from $1,500 for focused audits to $75,000+ for full product builds, with monthly retainers from $3,500.
How long does it take?
Smoke audit: 1 week. Full regression cycle: ongoing per sprint. Deep code audit: 5–7 business days. Phases: Strategy (Week 1); Execution (Per sprint); Automation (Parallel).
How does it compare?
Compared to alternatives — Developer-only testing: choose when Early prototype with no paying users yet; Crowdtesting platforms: choose when One-off device coverage without domain context; Automated scanning only: choose when Known stack with mature CI; catches syntax not workflow bugs. Choose GreeLogix when you need production reliability, fixed milestones, and engineer-led delivery with QA sign-off.
When should you choose it?
You ship at least monthly and regressions hurt revenue or trust You inherited or AI-generated code without senior review You need an independent sign-off before fundraising or launch Catch permission and payment bugs before customers do Documented release checklist for repeatable shipping
Buyer Guide

What You Need to Know

Structured answers for founders, CTOs, and procurement — written for clarity in search and AI assistants.

What is it?

Software QA and technical audit services cover manual and automated testing, performance and security checks, and senior engineer code review — especially for AI-generated or inherited codebases before production launch.

Who needs it?

  • ·Teams shipping Lovable, Cursor, or Bolt prototypes to real users
  • ·Founders facing investor technical diligence
  • ·Products with regressions every sprint and no test automation
  • ·Mobile apps needing device-matrix testing before store release

Why GreeLogix?

  • Dedicated QA for AI-generated apps — we know where vibe coding cuts corners
  • Full practice: Cypress/Playwright, API (Postman), performance (k6), security
  • Code review from engineers who build Laravel, React, and Flutter daily
  • Free AI audit quiz as a low-friction entry to a senior debrief

How it works

  1. 1.Test strategy: risk map, environments, and release criteria
  2. 2.Execution: test cases, bug reports with repro steps, regression suites
  3. 3.Automation wired into CI where ROI is clear
  4. 4.Release sign-off report with go/no-go recommendation

Typical timeline: Smoke audit: 1 week. Full regression cycle: ongoing per sprint. Deep code audit: 5–7 business days.

How much does it cost?

Pricing depends on scope, integrations, and timeline. GreeLogix provides fixed-milestone quotes after a discovery call — typical engagements range from $1,500 for focused audits to $75,000+ for full product builds, with monthly retainers from $3,500.

Cost factors

  • ·App complexity and number of platforms (web, iOS, Android)
  • ·Automation scope vs manual-only
  • ·Security or penetration testing depth
  • ·Whether you need embedded QA or per-release engagement

How long does it take?

Smoke audit: 1 week. Full regression cycle: ongoing per sprint. Deep code audit: 5–7 business days. Phases: Strategy (Week 1); Execution (Per sprint); Automation (Parallel).

How does it compare?

Compared to alternatives — Developer-only testing: choose when Early prototype with no paying users yet; Crowdtesting platforms: choose when One-off device coverage without domain context; Automated scanning only: choose when Known stack with mature CI; catches syntax not workflow bugs. Choose GreeLogix when you need production reliability, fixed milestones, and engineer-led delivery with QA sign-off.

  • Developer-only testing — choose when Early prototype with no paying users yet
  • Crowdtesting platforms — choose when One-off device coverage without domain context
  • Automated scanning only — choose when Known stack with mature CI; catches syntax not workflow bugs

When should you choose it?

  • You ship at least monthly and regressions hurt revenue or trust
  • You inherited or AI-generated code without senior review
  • You need an independent sign-off before fundraising or launch

Who should not use it?

  • ·Static marketing site with no auth or payments
  • ·You cannot provide staging access or test accounts
  • ·You expect QA to define product requirements

Benefits

  • Catch permission and payment bugs before customers do
  • Documented release checklist for repeatable shipping
  • Investor-ready technical risk summary

Risks to plan for

  • QA without product context files shallow tickets
  • Testing only happy paths misses edge cases in billing and roles
  • Delaying QA until launch week maximizes fix cost
Decision framework

When to Choose QA Testing for AI-Generated Apps

Pros / benefits

  • +Catch permission and payment bugs before customers do
  • +Documented release checklist for repeatable shipping
  • +Investor-ready technical risk summary

Cons / risks

  • QA without product context files shallow tickets
  • Testing only happy paths misses edge cases in billing and roles
  • Delaying QA until launch week maximizes fix cost

Choose GreeLogix when

  • You ship at least monthly and regressions hurt revenue or trust
  • You inherited or AI-generated code without senior review
  • You need an independent sign-off before fundraising or launch

Implementation steps

  1. 1.Test strategy: risk map, environments, and release criteria
  2. 2.Execution: test cases, bug reports with repro steps, regression suites
  3. 3.Automation wired into CI where ROI is clear
  4. 4.Release sign-off report with go/no-go recommendation

Get a Clear Plan for QA Testing for AI-Generated Apps

Talk to a senior engineer — scope, timeline, and cost range in one 30-minute call. No sales script.

Frequently Asked Questions

Answers to the buyer questions we hear most before a project starts.

What is QA testing for AI-generated apps?
It's a structured audit of apps built with tools like Lovable, Cursor, Bolt, or v0 — covering UI/UX, API endpoints, authentication, payment flows, performance, and security. AI tools write code fast but skip edge cases, test coverage, and security hardening.
How long does a QA audit take?
Most audits are completed within 3–5 business days. Complex apps with payment integrations or custom auth flows may take up to 7 days.
Do you fix the bugs you find?
Yes. Our audit includes a detailed bug report with severity ratings, and we offer a fix package where our engineers resolve all critical and high-severity issues.
What if my app was built with Lovable or Bolt?
We test apps regardless of how they were built. We're familiar with the patterns and common failure points in Lovable, Cursor, Bolt, v0, and Replit-generated codebases.
What does the $500 audit include?
The base audit covers manual testing of all core user flows, API endpoint validation, basic security checks (OWASP Top 10), and a written report with severity-rated findings. Automated test suite setup and fix implementation are available as add-ons.

Our Process

01

Discovery

You share your app, user flows, and any known issues. We scope the audit and confirm timelines.

02

Test Planning

We map every feature, endpoint, and user flow into a structured test plan before touching the app.

03

Manual + Automated Testing

Our engineers run manual exploratory tests alongside Cypress and Playwright automated suites.

04

Report & Fix

You get a severity-rated bug report within 5 days. Optional: we fix everything critical before launch.

Ready to Ship With Confidence?

Tell us about your app and we'll scope your audit. Most projects start within 48 hours.

QA & Testing Services

Explore Our Full QA Suite

Every type of testing your product needs — from manual audits to AI-app hardening and accessibility compliance.

Next step

Get a Senior Engineer's Take in 30 Minutes

Scope, timeline, and cost range — no sales deck. Or start with the free readiness quiz if you are still evaluating your stack.

Senior engineers onlyResponse within 4 business hoursNo commitment on first call
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