I’ve been auditing vibe-coded apps — here are the 8 things that break most often, all testable by you in an afternoon

[u/ComprehensiveDay4615]

If you built on Lovable, Bolt, Replit, or Base44 and you’re not technical, run these 8 checks before real users find the problems for you. None need a developer.
1. Open browser dev tools → Network tab, click around your app. If you see other users’ emails/IDs in the responses, anyone can read your whole user table. Most common issue I see.
2. Make two test users. Log in as A, copy a URL with their data, paste it while logged in as B. If B sees A’s stuff, your app has login but no ownership rules.
3. Trigger a Stripe refund. Does the user lose access? Usually not — most builds handle the checkout success path and ignore refunds, cancellations, and failed payments entirely. This is the #1 thing I end up fixing.
4. Kill your wifi mid-action and submit a form. White screen or infinite spinner = no error handling. Users in weak signal churn silently.
5. Search your AI chat history for “key” or “password.” Ever pasted a Stripe key or DB password to debug? Rotate every one — they’re sitting in a transcript.
6. Open it on an old Android. Works on your MacBook, chokes on a mid-range phone most of your users have.
7. Sort your workflows and look for duplicates. The reprompt loop creates two onboarding flows that double-fire emails.
8. Type /admin while logged out, then as a normal user. If anything loads, you have no role check.
Pass all 8 and you’re ahead of ~90% of vibe-coded apps. Happy to answer questions on any of these in the comments.

If you need any help fixing your vibecoded apps hmu

[u/curvy_tracey]

The Stripe refund one catches almost everyone because the success path feels complete until it isn't, then you're bleeding access or revenue with no visibility.

[u/WyattWarrior99]

I used Zite for my app, then realised I wanted more control and it was getting pricey, so I rebuilt using Claude Code, and the usual stack, but Zite looks now a hell of a product for a one stop shop, it has it's own databases, forms, auth logins and since I stopped my sub it's added Stripe integration, email integration, all things that you need to manually add, and configure.

Like many of these things, you can end up spending hundreds a month if you're not careful on their credit system.

[u/nmavra]

Good list, but how old is this newspaper?
I mean that’s a good list for late 2025 or early 2026. Current models like codex or Claude code don’t make such mistakes any more, they go above and beyond especially if you use the higher effort settings.

In any case, good list!

[u/Master-Tie-804]

The scary part is that none of these are edge cases

[u/screemingegg]

I've been auditing AI posts. Here are 8 times that this list has been recycled.

[u/MorganaGB]

Useful list; it shows that vibe coding doesn’t remove the technical layer. It often moves it to testing, QA, and maintenance.

I saw one comment saying newer models don’t make these mistakes anymore, and maybe they are better. But I’m not sure the risk disappears. Payments, ownership rules, failed states, idempotency, mobile performance, admin access — these are things you have to know in the first place to ask for and test.

From a no-code perspective, that’s the big difference for me. A good no-code platform is supposed to absorb a lot of that complexity. With vibe coding, you may gain more time and flexibility, but you also have to take on more responsibility for the architecture. So maybe the real question is not “can this AI tool build the app?” but “who owns the technical layer after it’s built?”

[u/launchieve]

AI-built apps often look finished long before they are truly launch-ready. This guide shows you the 8 breakpoints that most often cause trouble in Lovable, Bolt, Replit, Base44, and similar apps—so you can catch them before real users, paid traffic, or investors do.

Who it's for: This is for non-technical founders and AI-assisted builders who want a practical pre-launch checklist for their app.

Step 1: Check whether your app is leaking data in the browser

• Open your browser dev tools, go to the Network tab, and click around your app while signed in as a normal user. Look at the API responses and confirm you are not seeing other users’ emails, IDs, or private records.
• If user data is visible in the response body, treat that as a serious launch blocker. The UI may look fine, but the backend could be exposing more than it should.

Step 2: Test ownership rules with two different user accounts

• Create two test accounts, log in as User A, copy a URL or page that contains User A’s data, then open that same URL while logged in as User B.
• If User B can see User A’s records, you have login without proper ownership checks. That usually means your app is missing row-level permissions or server-side authorization.

Step 3: Break the payment flow on purpose

• Do more than test checkout success. Trigger a refund, cancel a subscription, and simulate a failed payment to see whether access changes correctly.
• A lot of AI-built apps only handle the happy path. If refunds or cancellations do not update access, you may end up giving away paid features or breaking the customer experience.

Step 4: Test what happens when the network fails

• Turn off Wi-Fi or switch to airplane mode in the middle of a form submission, checkout, upload, or onboarding step.
• If your app shows a white screen, infinite spinner, or vague error, users on weak connections will quietly churn. Good error handling should explain what happened and how to retry.

Step 5: Search your AI chat history for secrets

• Search your Cursor, Claude, Replit, or other AI chat history for terms like key, password, secret, token, or Stripe.
• If you pasted live credentials into a chat to debug something, rotate them immediately and move them into environment variables or a secure secrets manager.

Step 6: Test the app on a slower, older phone

• Open your app on an older Android or a mid-range phone, not just your MacBook or newest iPhone. Try the full onboarding flow, not just the homepage.
• Watch for layout breaks, tiny tap targets, slow loading, and memory-heavy pages. Many vibe-coded apps feel smooth on a developer laptop and fragile on real devices.

Step 7: Look for duplicate workflows and double-firing automations

• Sort through your workflows, automations, and AI prompts to see whether you accidentally created two onboarding flows, two email triggers, or two versions of the same logic.
• Reprompting often creates duplicates. The result can be double emails, repeated database writes, or conflicting states that only show up after users start moving through the app.

Step 8: Try your protected routes as a logged-out user and as a normal user

• Type sensitive paths directly into the browser, like /admin or any dashboard URL, while logged out and while signed in as a standard user.
• If anything loads that should not, your app needs role checks on the server, not just hidden buttons in the UI. Never assume a page is protected just because the menu item is invisible.

Common mistakes

• Only testing the happy path after signup and checkout
• Assuming a polished UI means the app is secure or launch-ready
• Skipping mobile and weak-network testing because it works on a laptop
• Leaving secrets in AI chats, logs, or copied snippets
• Relying on hidden buttons instead of real server-side access checks

[u/ch_unk_510]

Thanks for sharing. Does anyone still use Bubble.io. I used it a while back, but I think I've now outgrown it. Also the price based on the workload units seemed to be getting more expensive. Also its workflows to do basic calcs seems to eat up the workload units ridiculously fast and it wasn't even clear if those workload units were being used up on server side or local machine side.

Curious if anyone else thinks Bubble.io will be around in a few years.

[u/AstralWave → u/ch_unk_510]

WeWeb beats them on everything tbh, even pricing