High Priority
Vibe Code Issue

Database Issues in AI-Generated Applications

AI-generated database schemas often lack proper indexes, have no Row Level Security, use inefficient query patterns, and create data integrity problems. These issues worsen as your app grows.

2 tools can help5 verified agencies

Common Symptoms

  • Queries getting slower as data grows
  • Missing Row Level Security on Supabase tables
  • N+1 query patterns causing excessive database load
  • No data validation at the database level
  • Missing foreign key constraints or cascading deletes
  • Migrations that break existing data

Try These Fixes First

Before hiring an agency, try these steps yourself. Many common issues can be resolved with the right approach.

1

Enable Row Level Security on ALL Supabase tables

2

Add indexes on columns used in WHERE, ORDER BY, and JOIN clauses

3

Replace N+1 queries with JOINs or batch fetches

4

Add NOT NULL constraints and check constraints where appropriate

5

Set up foreign keys with proper cascade rules

6

Use database migrations instead of manual schema changes

Tools That Help

Claude Code

Helpful

Claude Code can review and optimize database schemas, add RLS policies, and fix query patterns.

Free tier limited

Replit

Helpful

Replit includes managed database options that reduce common database configuration problems.

Free / $25/mo and up

Frequently Asked Questions

Why do AI tools create poor database schemas?

AI tools design schemas for quick functionality, not long-term scalability. They skip indexes because queries are fast with small datasets, omit RLS because it adds complexity, and use simple query patterns that degrade at scale.