Automated: on every change
Your builder’s testing, scanners and automated tests catch what broke in flows you already described. Run them after every change.
Automated tests and AI self-testing check what someone wrote down; manual testing finds what nobody thought to check. For an app built with AI, use both: let your builder’s AI and scanners catch the obvious, then have a person go through sign-up, payments, roles and a real phone before launch.
Bug testing — $299 for one platform. No bug found — 100% back.See a sample reportWhat each way of testing covers in an app built with AI.
| piperlink QA team | AI testing in the builder | Automated scanners | A freelancer | |
|---|---|---|---|---|
| Who tests | An independent person | The AI that wrote the code | A script | Depends on the person |
| Sign-in, roles, other users’ data | All roles, up to three | In Lovable: only pages without sign-in if you use your own Supabase or another login provider¹ | Partly: known security patterns | Depends on the person |
| Payments end to end | Yes, with a test card | Not described in the docs¹ | No | Depends on the person |
| Real phones | A real iPhone or Android phone | Phone, tablet or desktop sizes in a browser, not a real phone¹ | No | Depends on the person |
| Things you didn’t ask about | Yes | Mostly what you or the AI decide to check | Known patterns only | Sometimes |
| The result | A report: priority, steps, screenshot, AI prompt | A summary with screenshots in the chat¹ | A list of findings | Varies |
| Retest of your fixes | 14 days included | Run it again | Scan again | Usually a new order |
¹ As Lovable’s browser testing documentation says (checked October 16, 2026). Other builders differ; check their docs.
Automation is fast and repeatable; people notice what was never written down.
Your builder’s testing, scanners and automated tests catch what broke in flows you already described. Run them after every change.
A person goes through sign-up, payments, roles, e-mails and a real phone, and finds what no test describes yet.
Every bug a person finds can become a test. Our report gives each bug a ready AI prompt — ask it for a fix and a test.
Fixed prices. You see the total before you pay — nothing is charged without your decision.
The first test of your app.
No bug found — 100% back
Bugs + break-in attempts, the way a hacker would.
No bug found — 100% back
For regular releases.
No bug found — 100% back
Update testing — $149. For an app we have tested before. Order update testing ↗︎
Vulnerability testing — $349. Without bug testing. Order on its own ↗︎
Options. One more platform — +$149. 25 more screens — +$149. Rush report within 1–2 business days — +$99.
No. Automation repeats known checks quickly; it does not notice a confusing step, a broken e-mail or another customer’s data unless someone wrote a test for it. Before launch, a person finds what customers would hit first.
Yes. Automated tests and AI are our tools; every bug in the report was found and checked by a person, on a real computer and phone.
Once the main flows are stable and you release often — yes, starting with the flows that already broke once. Before the first launch, a manual pass usually finds more of what customers would run into.
Fixed prices: bug testing $299 per platform, bugs + vulnerabilities $499, a subscription of 4 tests for $399 per 30 days. No bug found — 100% back.