Your app works with 10 test records but crawls with real traffic. Here's what's actually wrong and how to fix it.
AI tools are great for prototyping. In a few hours, you have a working app with a UI, forms, and a database. The problem is that between a demo and a real product there's a gap that AI can't cross on its own.
No server-side logic. AI defaults to putting everything in the browser. Calculations, validation, data transformation — it all runs on the client. The app feels slow, and all your business logic is exposed in DevTools.
Flat databases. Instead of linked tables, AI copies customer data (name, email, phone) directly onto every order. Works with 10 test records. With 10,000 orders, the database becomes unusable — no indexes, no relations, no normalization.
No error handling. Payment failed? The workflow just stops. No fallback, no retry, no user message. You won't notice this in a prototype because you're testing the happy path. In production, users just get "stuck" with no explanation.
Duplicate workflows. AI doesn't know what already exists in your app. Ask it to add email notifications — you get a second notification system next to the first one. Two workflows fighting each other, sending double emails, and data falling out of sync.
Edge Functions have limits. Execution time, cold starts, memory limits — these all kill performance when logic is poorly distributed. AI doesn't think about these constraints because they don't exist in the development environment.
user_id as a foreign key.AI tools are great for prototyping, but there's a gap between a demo and a real product. Someone needs to bridge it — check the database, move logic server-side, and add proper error handling.
We'll check the database, fix the architecture, and move logic where it belongs. No rewriting from scratch — we fix what you have.
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