u/Negative-Tank2221

Most founders who hire me are in trouble. They built something with AI, got real users, and now the app is leaking money, leaking data, or both. By the time I get the DM, the app is 6 months past the point where things could have been done cleanly.

Last month was different. A founder reached out for an audit before anything broke. Lovable build, Supabase backend, 30 paying users, charging $19/month, growing about 4 users a week. Total annual revenue at the time was around $7,000. She paid me $1,500 to audit her app before she pushed past 100 users.

That is not normal. Most vibe coders at her stage are still in growth mode, throwing every dollar at ads and features. She paused to invest in engineering hygiene before her revenue justified it. I have done 30+ vibe coded rescues this year and she is the only one who came to me proactively. Wanted to share what set her apart because most of it is mindset, not money.

She treated the AI build as a prototype, not a product. Most founders ship with vibe coding tools and quietly treat the output as the real thing. They run ads, hire support, scale paid users, then panic when the app cracks. She launched her Lovable MVP knowing it was a prototype. She had it written in her launch plan that the rebuild would come when revenue justified it. She did not pretend the AI had given her a production system.

She validated before she scaled. She did not buy ads or chase growth before she knew the product worked. She onboarded users manually for the first 30, talked to each one personally, and only opened up signups once retention was real. By the time she came to me, she knew exactly what was working and what was not. Her audit brief was sharper than most senior product specs I have read.

She tracked the failures the AI could not see. She had a spreadsheet of every weird thing she noticed in her own app. Slow loading on mobile. A user who could not reset her password. A Stripe receipt that sent to the wrong email once. A signup flow that broke on Safari. Most founders ignore these as one-offs. She tracked them and brought them to the audit. Almost every one turned out to be a symptom of a real bug in the codebase that would have killed her at 500 users.

She paid for the audit before she paid for the rebuild. This is the one almost nobody does. Most founders rebuild based on what the AI tells them needs fixing (usually wrong) or based on what a freelancer tells them (usually self-serving). She paid for an independent audit before committing any money to a rebuild. The audit revealed that 60% of what she thought needed rebuilding was actually fine. The other 40% was worse than she thought. That changed her entire rebuild plan and probably saved her $15,000.

She planned for the rebuild in her financial model. She had a column in her cash flow projection labelled "Rebuild Reserve." Every paying user contributed a fixed percentage to this reserve. By the time she crossed the threshold where the rebuild was needed (around 200 users), she had the cash for it. Not from raising, not from credit, not from cutting corners. From revenue. Most founders treat the rebuild as a surprise cost. She treated it as a planned expense from month one.

She did not get attached to her stack. She knew Lovable was the right tool for the prototype phase and that Next.js + Supabase was the right tool for the production phase. She did not see the rebuild as a failure of the original build. She saw it as the planned next step. Founders who get emotionally attached to "I built this on X platform" are the ones who stay on the platform too long and pay 10x to migrate later.

The lesson I take from her, that I wish every vibe coder understood.

The build is not the product. The product is the thing that survives 6 months of real users. The build is the first draft. Smart vibe coders ship the build fast, validate it cheap, and rebuild it properly when the data justifies the investment.

The opposite, which is most founders I see, is to ship the build and hope it survives forever. It does not. Real users break things. The question is whether you plan for that day or get blindsided by it.

She is not getting blindsided. Her audit took 4 days. Her rebuild will take 8 weeks. Her users will never know the difference. That is what good looks like.

jetbuildstudio(dot)com/mvp

I get DMs every week from no-code founders asking me to fix things on their app. Lovable, Bubble, Cursor, Bolt, Base44 builds. The crazy part is that 70% of what I end up fixing is stuff the founder could have checked themselves in an afternoon before they ever needed me.

Sharing the checklist so you can skip the rescue phase entirely. None of this requires a developer. All of it is testable by you, today, on your existing build.

Open dev tools in your browser. Right click, inspect, network tab. Now log into your app as one user and click around. Watch what data gets sent back to the browser. If you see other users' emails, names, addresses, or IDs in the responses, your app has no row-level privacy and anyone with browser dev tools can read your whole user table. This is the single most common issue in vibe coded apps and it is 30 minutes of work to fix.

Create a second test user. Log in as user A, copy a URL with their data, log in as user B in a different browser, paste user A's URL. Can user B see user A's stuff? If yes, your app does not enforce ownership. Vibe coded auth almost always builds login but rarely builds ownership rules.

Trigger a Stripe refund manually in your dashboard. Watch what happens in your app. Does the refunded user lose access? If not, you have a webhook problem. Most vibe coded Stripe setups handle the successful checkout flow but miss refunds, cancellations, failed payments, and disputes entirely.

Disconnect your wifi mid-action. Try to submit a form. What happens? White screen? Infinite spinner? A real error message? If it just hangs or blanks, your app has no error handling and users in low-signal areas will quietly churn without you ever knowing why.

Search your AI chat history for the word "key" or "password" or "secret". Did you ever paste a Stripe key, Supabase service role, or DB password into a chat to debug something? Those keys now live in a transcript on a platform whose security you do not control. Rotate every secret you have ever pasted into an AI tool. This is the one nobody thinks about until a breach happens.

Open your app on a 3-year-old phone. Most vibe coded apps work great on the founder's M2 Macbook and choke on a mid-range Android with weak signal. If your buyers might use old phones (most consumer apps), this matters more than any feature you could add.

Sort your workflows or functions or routes alphabetically and look for near-duplicates. You almost certainly have one workflow that fires welcome emails and another that fires onboarding emails and they overlap on the same trigger. The reprompt loop creates duplicates that send notifications twice.

Lock down the admin route. Type /admin into your URL bar while not logged in. Does anything happen? Now log in as a regular user and try again. If you can see anything you should not, your app has no role check and any user can access admin functions just by guessing the URL.

That is the checklist. If you can run through all 8 and pass every one, you are in better shape than 90% of the vibe coded apps I have audited. If any of them turn up problems, you now have a list of things to either fix yourself (most are 15-60 min jobs) or hand to whoever you eventually hire.

The point is to catch this stuff before real users do. Once paying users are on the app, fixing these becomes 3-4x slower because you cannot break anything in production. Easier to do it now.

jetbuildstudio(dot)com/mvp

I have spent most of this year reviewing micro SaaS apps for solo founders before launch. Most of them were built with Cursor, Claude, Lovable, Base44, or Bubble. Past the 30 mark, I started seeing the same 5 issues in nearly every single one. None of them were features. They were boring infrastructure stuff that quietly decides whether a launch holds up or disasters in month 2.

Sharing the checklist so any solo founder shipping soon can run it tonight.

1. Data your other users can see.

The AI builds auth so users log in. It almost never adds row level permissions on the actual data. So once a user is logged in, they can usually query other users' data through the API. You do not notice because you are the only one testing. Log in as a second user, open dev tools, change a user_id in a request, and see what comes back. If another user's data loads, your app is one curious person away from a leak.

2. The half of Stripe nobody builds.

Checkout works because you tested with a test card. The part the AI rarely builds is the webhook side. Cancelled subscriptions, failed payments, refunds, disputes. Without it, cancelled users keep accessing paid features and refunds do not revoke access. By month 3 you are paying server costs on ghost accounts that churned weeks ago. Add webhook handling for subscription.updated, subscription.deleted, invoice.payment_failed, and charge.refunded.

3. Functions that fire twice.

This one is specific to AI tools. You prompted for a feature, it worked, you forgot. Weeks later you prompted for something similar with slightly different wording. Now two workflows fire on the same trigger. Welcome emails sending twice, Stripe getting hit twice, notifications duplicating. Sort your functions or routes alphabetically and scan for near duplicates. There is almost always at least one.

4. The white screen of death.

Ask the AI "what does the user see when the OpenAI call fails?" Watch the answer get vague. Most AI built apps show a white screen or just spin forever when an external API fails. Users refresh once and leave. Wire Sentry in (free tier, 10 minutes) and add user facing error messages anywhere your app calls an external service. Without this you have no idea what percent of traffic is hitting broken paths.

5. Credentials sitting in chat history.

Every conversation you have had with the AI is stored somewhere. If you pasted a Stripe secret key, Supabase service role key, or a database password into chat to debug something, that key now lives in a transcript on a platform whose security posture you do not fully control. Lovable's recent breach exposed exactly this. Rotate every secret you have ever pasted into an AI tool. Today.

The pattern across the 30+ apps is consistent. The product looks like it works. Users show up. Money flows. Then something silently breaks at month 3, and by the time anyone notices, the fix is way more expensive than the prevention would have been.

Run the 5 checks above before you sleep tonight. They take maybe an afternoon to fix and they are what separates a launch that survives from one that quietly falls apart.

If you want a second pair of eyes, I do fixed price audits at jetbuildstudio(dot)com/mvp with full written reports. But honestly the checklist above is what you should hold any auditor to.

I get hired to fix vibe coded apps before they go live. Cursor, Claude, Lovable, Base44, Codex, all of it. Roughly 30 builds this year so far. The wild thing is the same 5 things are missing nearly every time, and none of them are features. They are the boring infrastructure stuff that decides whether your app survives real users.

If you have vibe coded something and you are about to launch, run this checklist before you ship.

1. Privacy on your data tables. The AI builds auth so users have to log in. It almost never adds row-level permissions. Meaning once a user is logged in, their account can query other users' data through the API. You do not see it because you are the only one testing. Open dev tools, log in as a second user, change a user_id in a request, see what comes back. If you can see another user's data, your app is one curious user away from a disaster.

2. Stripe webhooks beyond the success case. Checkout works because you tested with the test card. The part the AI almost never builds is the webhook handler for everything after the sale. Cancelled subscriptions, failed payments, refunds, disputes. Without it, cancelled users keep accessing paid features and refunds do not lock access. Add webhook handling for subscription.updated, subscription.deleted, invoice.payment_failed, and charge.refunded. Non-negotiable.

3. Duplicate workflows from re-prompting. You prompted for a feature, it worked, you forgot. Weeks later you prompted for something similar with different wording. Now two workflows fire on the same trigger. Welcome emails sending twice, Stripe getting hit twice on signup, notifications duplicating. Sort your functions / routes / workflows alphabetically and scan for near-duplicates. Almost always at least one.

4. Silent failures. Ask the AI "what does the user see when the OpenAI call fails?" Watch the answer go vague. Most vibe coded apps show a white screen or spin forever. Users refresh once and leave. Wire Sentry in (free tier, 10 minutes) and add user-facing error messages everywhere the app calls an external API. Without this you have no idea what percent of your traffic is hitting broken paths.

5. Credentials in chat history. Specific to vibe coding and most builders have not thought about it. Every conversation you have with the AI is stored somewhere. If you pasted a Stripe secret key, Supabase service role key, or a database password into chat to debug an error, that key now lives in a transcript on a platform whose security posture you do not control. Lovable's recent breach exposed exactly this. Rotate every secret you have ever pasted into an AI tool. Today, not eventually.

The pattern across all 30+ builds is consistent. The product looks like it works. Users show up. Money flows. And then something silently breaks, and by the time anyone notices, it is months past the point where fixing it is cheap.

If you have shipped something with real users and real payments, run the 5 checks above before you sleep tonight. Most vibe coders can do them in an afternoon.

If you want a second pair of eyes on your stack, I do fixed-price audits at jetbuildstudio(dot)com/mvp But honestly the checklist above is what you should hold any auditor to.

Spent most of this year helping founders get their AI-built SaaS apps actually shippable. Lovable, Cursor, Replit, Base44, Claude, ChatGPT, mix of everything. About 30 of them so far across job boards, AI tools, marketplaces, internal dashboards. After enough of these I stopped being surprised. Same handful of issues comes up nearly every time. Writing them down here in case it saves someone a launch-day disaster.

Mistake 1: Thinking "works in testing" means works.

You tested as yourself, on the happy path. Real users sign up with the same email twice, click the verification link after it expired, try to reset a password they set via Google, refresh mid-checkout. Almost every vibe coded SaaS I've seen has at least one of these silently broken. Users hit it, churn, and the founder blames the funnel.

Mistake 2: Skipping the boring half of Stripe.

Checkout works because you tested with the test card. The part the AI almost never writes is the webhook handler for everything after the sale. Cancelled subscriptions that don't revoke access. Failed payments that don't pause the account. Refunds that don't lock users out of paid features. Three months in you're paying server costs for users who churned six weeks ago but still log in daily, because nothing told the app they left. Webhook handling for subscription.updated, subscription.deleted, invoice.payment_failed, charge.refunded. Before launch. This one is non-negotiable and almost universally skipped.

Mistake 3: Tables anyone can read.

This is the one I see so often I almost laugh now. The AI builds auth but rarely adds row-level permissions. Users have to log in, sure, but once they're logged in their account can query other users' data through the API. You don't notice because you're the only one testing. The fix is genuinely 30 minutes of work and it's what stands between you and the kind of breach announcement nobody wants to write. Test it yourself. Log in as a second user, open the network tab, change a user_id in a request, see what comes back.

Mistake 4: Duplicates from re-prompting.

You ask the AI for a feature. It works. You forget. Weeks later you ask for something similar with slightly different wording. Now two workflows fire on the same trigger. Welcome emails sending twice, Stripe getting hit twice, notifications spamming. Sort your functions or workflows alphabetically and scan for near-duplicates. There's almost always at least one.

Mistake 5: Failing silently.

Ask the AI "what does the user see when the OpenAI call fails?" Watch the answer get vague. Most vibe coded SaaS apps show a white screen or spin forever. Users refresh once and give up. You have no logs, no Sentry, no error boundary, and basically no idea what percent of your traffic is hitting broken paths. Wire Sentry in (free tier, ten minutes) and add user-facing error messages everywhere the app calls an external API. Without this you're flying blind.

Mistake 6: Credentials baked into chat history.

This one is specific to vibe coding and most founders haven't thought about it. Every conversation you've had with the AI is stored somewhere. If you pasted a Stripe secret key, a Supabase service role key, or a database password into chat to "help debug an error," that key lives in a transcript on a platform whose security posture you don't fully control. Lovable's recent breach exposed exactly this. Rotate every secret you've ever pasted into an AI tool. Today, not eventually.

Mistake 7: Pricing the app like it's a prototype.

This isn't technical but it kills more vibe coded SaaS than anything else. Founders who shipped fast on AI tools often underprice because they "didn't put much work in." Then 50 users at $9/month walks in and they realise they can't afford to fix anything. The AI built the same product a human team would've quoted $40k for. Price for the value delivered, not the hours you put in. For real B2B tools, $29 to $49 a month is honestly the floor. Cheap pricing attracts cheap users who churn the second something breaks.

Those seven, fixed before launch, take maybe a week. Skipping them is the difference between "demo that impressed my friends" and "product I'd hand a paying customer."

Curious which of these bit people the hardest. If you've shipped a vibe coded SaaS or no-code app, which one tripped you up, and how did you find it?

I do code audits for founders who built MVPs on Bubble, Lovable, Base44, Replit, or vibe-coded their way through Cursor and Claude. Same patterns show up regardless of platform. Posting the checklist here so you can self-audit before paying anyone, including me.

Privacy rules / RLS / row-level security. Every data type, every table, every field. The single most common issue I find: developer mode permissions still on in production. "Everyone can view," RLS set to USING(true), or no rules at all on data types that hold user info. Lovable shipped with this open by default for months. Vibe coders almost never add it because the AI doesn't volunteer to. Open the editor as a non-admin user and try to query other users' data. If you can, you have a leak.

Authentication edge cases. Login works on the happy path because you tested as yourself. What happens when a user signs up with the same email twice, forgets their password, or hits the verification link after it expires? In half the apps I audit, one of these flows is broken or missing. Stripe webhooks for cancelled subs is the same story — the success case works, every other case silently fails.

Workflow duplicates. People prompt the AI to "add a feature," forget they already added a similar one last week, now two workflows fire on the same trigger. Sort your workflows alphabetically and look for near-duplicates. You'll usually find at least one. In Bubble apps specifically this also burns Workload Units silently.

Database structure. Multi-tenancy clean? Anything stuffed into User and Listing that should be its own table (messages, transactions, reviews)? Field types correct (a phone number stored as a number drops leading zeros, a date stored as text breaks every sort)? Most no-code apps work fine at 10 users and fall apart at 500 because the database was modeled for the demo, not the product.

Search efficiency / N+1 queries. Searches inside searches inside repeating groups, lists of all users loaded into a page just to count them, no pagination on big tables. Invisible at small scale, fatal once real traffic hits.

Payment handling beyond the success case. Stripe checkout works because you tested with the test card. Failed payments, cancelled subscriptions, refunds, disputes — these need their own webhook handler. If your only Stripe code is "redirect to checkout, mark user as paid on success," you'll find out something's wrong months later when refunds and chargebacks pile up unattended.

Error handling and logging. When an API call fails, what does the user see? White screen, nothing happens, or a clear message? Is anything logged? Most no-code apps fail silently, which makes debugging in production almost impossible.

Hardcoded credentials and exposed keys. Old API keys committed to chat histories with the AI, plugin keys with too-broad permissions, env vars that should be private sitting in client-side code. Lovable's recent breach exposed exactly this — credentials founders had pasted into AI chat were stored and accessible. Rotate everything before launch.

A real audit comes back as a written report, section by section, with screenshots, severity ratings (critical / important / nice-to-have), and a prioritised fix list. Not a 30-minute Loom and a "yeah looks fine."

Founders ask me what a "Bubble app audit" should cover before they hire someone to do one. There's no standard, so quotes range from $200 (someone clicking around for an hour) to $5k (full security and performance review). Most founders end up paying for the cheap version and missing the things that actually matter.

Here's the checklist I run on any Bubble app I open. Save it, hold any auditor to it, even if you don't hire me.

Privacy rules first, always. Every data type, every field. Switch to a non-admin user role in the editor and try to query other users' data. If you can, the app is one curious user away from a leak. Marketplaces and SaaS apps almost always have at least one data type with "Everyone can view" still on from early development.

Workload Units per page. Bubble now shows you WU consumption per page in the logs. A homepage burning 10x more units than a dashboard means something is wrong, usually a search inside a search inside a repeating group, or "Do every 5 seconds" left running in production. WU costs scale aggressively, this is where founders quietly burn $300-500 a month on nothing.

Workflow duplicates and recursive backends. People ask the AI agent to add a feature, forget they already added a similar one last week, now two workflows fire on the same trigger. Easy to spot by sorting workflows alphabetically and looking for near-duplicates. Recursive backend workflows without a termination condition are the worst version of this, they can run forever and rack up huge bills.

Database structure. Multi-tenancy clean? Anything stuffed into User and Listing that should have its own data type (messages, transactions, reviews)? Field types correct (a phone number stored as a number drops leading zeros)? On marketplaces and SaaS this is where 80% of future pain hides.

Search efficiency. Searches that should be constraint-level filters running on the client. Lists of all users loaded into the page just to count them. Repeating groups without pagination. These are invisible at 10 users, fatal at 500.

Stripe and webhook handling. If the app charges money, look for the webhook backend workflow that handles failed payments, cancelled subscriptions, refunds, and disputes. If it's missing or only handles the success case, cancelled subs silently break and the founder finds out months later.

Error handling and logging. What does the user see when an API call fails? White screen, nothing happens, or a real message? Is anything logged? Most Bubble apps just fail silently which makes debugging in production almost impossible.

App Connector and API Connector audits. Old API keys exposed in the editor, deprecated endpoints, plugin keys with too-broad permissions. Quick to check, easy to miss.

A real audit should come back as a written document, section by section, with screenshots, severity ratings (critical / important / nice-to-have), and a prioritised fix list. Not a 30-minute Loom and a verbal "yeah looks fine."

I run these audits at jetbuildstudio(dot)com — fixed price, full written report, 3-5 day turnaround. Got 2 slots opening up this month if anyone wants their app reviewed before launch or before scaling. Drop a comment or DM.