A vibe coded app is ready for real users when it passes five checks: security rules actually restrict data access, secrets are out of the client code, payments are verified server side, there is a way back when a deploy goes wrong, and someone has tested it logged in as a stranger. Most AI-built apps pass none of these on launch day, and the app usually works anyway, right up until it does not.
The five checks, in order of damage
1. Can a stranger read data they should not? Open your app in a private window, create a second account, and try to access the first account's data by changing IDs in the URL and by querying the database directly with the public key. If your app uses Supabase or Firebase, this is where AI-generated code fails most: Row Level Security policies or Firestore rules that were never written, or that allow far more than intended. This is the check that decides whether your launch becomes a data breach.
2. Are your keys in the browser? View the page source and search for keys. Publishable keys are fine in the client. Service role keys, secret keys, and admin credentials are not, and AI tools put them there more often than anyone admits, because it makes the demo work.
3. Is money verified on the server? If your app charges anything, the price and the payment confirmation must be checked server side. AI-generated checkout flows frequently trust the client, which means anyone comfortable with browser dev tools can pay whatever they want, including nothing.
4. Can you undo a bad deploy? Connect the project to GitHub if it is not already. Know how to roll back to the last working version in under five minutes. The teams that survive launch week are not the ones without bugs, they are the ones who can revert.
5. Does anyone know when it breaks? At minimum: uptime monitoring on the main URL and an error alert that reaches your phone. AI-built apps fail silently by default. Your users will not file a bug report, they will leave.
What about the code quality itself?
Messy AI code is survivable. Insecure AI code is not. Do not delay a launch to make the code pretty, and do not let anyone sell you a rewrite for cleanliness alone. Fix the five checks above, ship, and clean up the structure when revenue justifies it.
What a professional audit adds
A senior engineer running this checklist also reads what you cannot see: the database schema drift, the query patterns that will fall over at a thousand users, the webhook that silently stopped retrying. A fixed price audit takes about a week and turns launch anxiety into a written to-do list with priorities.