The problem
Why vibe coded apps stall before launch
AI builders are very good at the visible part: screens, forms, a working demo. The remaining work does not show in a demo, and it is exactly what real users, payments and attackers find. These are the eight places we check first.
1. Access rules live only in the interface
Hiding a button is not security. If the server does not check who is asking, anyone can call the API directly and read or change another user's data. Every request needs an ownership check on the server or in the database.
2. Row Level Security is off or wide open
In a Supabase app the browser talks to the database with a public key, and Row Level Security is what limits it. Supabase's guide says to enable RLS on every table in an exposed schema; without it, a table is readable and writable by any role with a grant on it. A policy that allows everything has the same effect.
3. Secret keys shipped to the browser
Anything in frontend code can be read by a visitor. A Supabase secret key bypasses every Row Level Security policy, and payment or AI provider keys let strangers spend your money. Secrets belong on the server, and a leaked key must be replaced, not just moved.
4. Payments trusted on the wrong signal
Unlocking a purchase when the customer reaches the "success" page fails whenever they close the tab early. Stripe's documentation says you can't rely on the landing page alone and that webhooks are the most reliable confirmation, with the webhook signature verified.
5. No tests, so every fix breaks something
When the AI regenerates a file, nothing tells you what else changed. Without automated tests on the critical paths (sign-up, payment, the core action) every prompt is a gamble. This is usually the moment founders say they have hit a wall.
6. Database changes with no history
Tables edited by hand or by prompts drift away from what the code expects. Without migrations stored in the repository you cannot rebuild the database, create a safe test copy or undo a bad change.
7. One environment and no safety net
Many prototypes have a single live version: no staging copy, no backup anyone has tried to restore, no error monitoring. The first you hear of a problem is an email from a user.
8. Costs and speed that do not scale
Queries that load whole tables, missing indexes and AI API calls without limits go unnoticed with ten test users and get expensive with a thousand. Rate limits and a few indexes usually solve most of it.