Vibe-to-Production · Problems
Start with what already hurts.
Most people arrive here with a symptom rather than a diagnosis — it got slow, a customer saw the wrong data, a deploy went wrong and there was no way back. Each guide names the failure, shows you how to confirm it yourself, and explains what fixing it actually involves.
72 hours
01 / TO FINDINGS
2–6 weeks
02 / TYPICAL FIX WINDOW
500+
03 / ENGINEERS
27
04 / YEARS IN PRODUCTION
Find your symptom
- SecurityIs Your AI-Built App Exposing Data? Here's How to Find OutMost data exposure in AI-built applications comes from access rules that exist only in the interface — the app hides other people's records, but the server never checks who is asking. You can confirm or rule this out yourself in about twenty minutes with two browser windows, and a security audit turns whatever you find into a scored, prioritised fix list.
- DatabaseYour App Was Fast. Now It Crawls. Here's What's Actually HappeningAn AI-built app that launches fast and slows down week by week almost always has queries that read far more data than they return — a pattern invisible at fifty records and unmissable at fifty thousand. You can confirm it yourself tonight with a stopwatch and your browser's network panel, and the fix is targeted work on a handful of queries, not a rebuild.
- PerformanceWill Your App Survive Its First Busy Day? Find Out Before It HappensAn AI-built app usually falls over on its first busy day because it was only ever exercised by one person at a time, so nothing about handling simultaneous users was ever asked for or tested. You can probe this tonight with four friends and a group chat, and the fix is a scoped engineering pass — statelessness, limits, and self-recovery — not a rewrite.
- DeploymentOne Deploy From Disaster: Could You Put Yesterday's Version Back?When a deploy breaks an AI-built app and there is no way back, it is because the app has only one environment — production — and changes go straight onto it with no saved, restorable version behind them. You can establish tonight, without touching anything, whether a rollback path exists, and building a real release pipeline is standard, fast engineering.
- Bugs & regressionsEvery Fix Breaks Something Else. Here's Why — and the Way OutWhen every fix to an AI-built app breaks something else, it is because the same logic exists in multiple places and nothing automatically proves the rest of the app still works after a change. You can verify both conditions tonight — count the copies, ask for the test — and the cure is regression tests plus targeted consolidation, not the rebuild you may be dreading.
- PaymentsCheckout Says It Worked. The Money Says OtherwiseWhen an AI-built checkout looks right but the numbers don't reconcile, the app is almost always recording payments at the moment of checkout and never listening to what the payment provider says afterwards — so refunds, failed charges and cancellations happen without your system noticing. You can prove or rule this out tonight with your provider's test mode, and the fix is a well-defined engineering pattern, not a rebuild of billing.
- CostYour Bill Keeps Rising. Your Usage Doesn't. Here's How to Read ItAn infrastructure bill that doesn't track anything you recognise means the app has no limits and no attribution — nothing caps what any operation can consume, and nothing connects a line on the invoice to a feature of the product. You can run the attribution exercise yourself tonight with last month's bill, and the fix is limits, alerts and per-feature visibility, not austerity.
- PortabilityHow Locked In Are You? Run the Exit Test Before You Need ItHow trapped you are on a platform is not a feeling — it's a measurable list: the parts of your app that only exist inside the platform's walls are exactly the parts an exit would have to rebuild. You can draw up that list tonight by attempting the exports yourself, and knowing the number is valuable even if you never leave, because unpriced exits shape decisions silently.
Not sure which one you have? The readiness framework covers all 8 areas at once, and the platform guides tell you which failures to expect from the tool that built your app.
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