AI app testing services for apps built with Lovable, Bolt, Cursor and more.
Everyone can build with AI now; almost no one has a tester. RAITHub tests apps built with Lovable, Bolt, Cursor, Claude Code, Replit and v0 before real users find the bugs: a fixed-price launch audit with a ranked bug report, reproduction steps and fixes, then optional monthly QA as you keep shipping.
What's included
- Functional testing of the journeys users depend on: sign-up, onboarding and the core workflow, including empty, error and edge states
- Mobile checks on real phones and common screen sizes, where generated layouts often break
- Payments in test mode: successful, declined and refunded payments, webhooks, and what happens when someone pays twice
- Login and data access: password reset, sessions, roles, and whether one user can read or change another user's data
- Basic security checks against OWASP guidance: exposed API keys, missing database access rules and open endpoints
- Accessibility and performance smoke checks: keyboard use, labels and contrast, page speed and a light load test
QA as a Service →Manual & Exploratory Testing →Mobile App Testing →Security Testing →Code Rescue →
How it works.
Every phase ends with something you can read, run or check, and you decide before the next one starts.
Free 15-minute call
Tell us what the app does, which tool built it and when you plan to launch. You hear honestly whether an audit fits.
Launch audit
Testers work through the agreed journeys on desktop and real phones, covering payments, login, data access, security, accessibility and performance.
Fix
Fix the issues yourself, using the steps in the report with your AI tool, or have RAITHub engineers fix them under a separate fixed quote.
Keep testing (optional)
Every new prompt can break something that worked yesterday. A monthly QA plan retests the key journeys each time you ship.
Proof from systems RAITHub built.
Numbers are counted from the repositories, not estimated.
PropDesk
Automated tests across a property-management SaaS with 4 user roles and Stripe rent collection.
TheSkinProof
Enforced coverage thresholds across 217 API endpoints in the founder's own venture, built and run by RAITHub.
Sundor Skin
Includes a security suite that tries to read other buyers' data; CI fails if a buyer-scoped table lacks row-level security.
These are test suites RAITHub wrote for platforms it built, shown for testing discipline. There is no case study yet for testing an AI-built app, and none is implied.
Fixed scope or a dedicated team. No published rates.
Every engagement starts with a free 15-minute technical audit and ends in a fixed, written quote. For market ranges, read what it costs. The pricing page explains both models.
The launch audit is a one-off at a fixed price, quoted after a free 15-minute call once the scope is clear: which journeys, devices and payment flows. After it you can stop, ask RAITHub to fix what it found (the same engineers build software, through code rescue), or move to a monthly QA plan that retests each release, month-to-month.
When RAITHub is not the right fit.
Saying no early is cheaper for both sides than a project that was never going to fit.
You need a CREST- or PCI-certified penetration test or a compliance attestation. The security checks here are application-level, against OWASP guidance, and produce no attestation.
You want RAITHub to build your mobile app. RAITHub tests mobile apps and mobile web but does not develop native apps.
You want a tester placed in your team under your management. RAITHub does not offer staff augmentation.
You need legal certification of accessibility compliance (ADA, EAA, Section 508). The smoke check is not a full WCAG 2.2 AA audit, and RAITHub certifies nothing.
AI-Built App Testing questions
Straight answers to what buyers ask before they book a call.
Why does an app built with AI need a human tester? +
AI tools write code fast, but they do not use your app the way real users do: on old phones, with declined cards, wrong passwords or two tabs open. A tester checks those paths, and checks the data access rules that are easy to leave open.
Which AI tools do you test apps from? +
Apps built with Lovable, Bolt, Cursor, Claude Code, Replit, v0 and similar tools. RAITHub tests the running app, so the tool matters less than the stack, and the common ones (React, Next.js, Supabase, Node) are stacks RAITHub builds on itself.
What does the launch audit cover? +
Functional testing of the main journeys, mobile layouts on real phones, payments, login and data access, basic security checks, and accessibility and performance smoke checks. You get a ranked bug report with reproduction steps and a suggested fix for each issue.
How much does it cost to test an AI-built app? +
The launch audit has a fixed price, quoted after a free 15-minute call once the scope is clear. RAITHub publishes no rates. The cost guide covers market ranges and what to test first on a small budget.
Can you fix the bugs you find? +
Yes. The engineers who test also build software, so RAITHub can fix the issues under a separate fixed quote through its code rescue service. Or fix them yourself: every issue comes with steps your AI tool can follow.
Can AI testing tools do this instead? +
They help, and RAITHub uses automated checks too. But tests written by AI tend to check what the code does, not what users need, so they pass while the bug ships. A human tester finds the gap between the two.
How Much Does It Cost to Test an AI-Built App, and What to Test First?
Who Tests an App Built with AI? Your Options in 2026
The Bugs Users Find First in AI-Built Apps, and How to Find Them Before They Do
Launch Checklist for an AI-Built SaaS: 40 Checks Before Real Users
Can AI Test Your App? What AI Testing Tools Catch and What They Miss
Other services: SaaS Development · QA as a Service · Code Rescue · MVP Development · API & Backend Development · Next.js Development · QA & Test Automation · Manual & Exploratory Testing · Mobile App Testing · Security Testing · Accessibility Testing
Talk to an engineer, not a salesperson. 15 minutes, free.
Describe what you need. You get an honest read on fit, then a fixed, written quote with its assumptions.