Your database is a mess. We fix it without losing data.

“There's a `users` table, a `Users` table, and a `user_profiles` table.”

Each one probably got created by a different prompt solving its own immediate problem, with no check for whether something similar already existed.

“A page loads slower every month as the data grows.”

Usually a missing index on a column being filtered or joined on frequently — a query that's fine at 500 rows and unusable at 50,000, which is exactly when founders notice.

“One query fires a hundred times to render one page.”

The N+1 pattern — fetching a list, then fetching related data one row at a time in a loop instead of one query with a join. Extremely common in AI-generated CRUD code.

“Nobody knows what the current schema actually looks like.”

No migration history, no source of truth — changes were made directly against the database as needed, so the code's assumptions and the database's actual shape have quietly drifted apart.

“A row-level security policy exists but doesn't restrict anything when tested.”

A policy that references the wrong column, or defaults to allowing all reads, looks like protection in the dashboard and does nothing in practice. We test every policy against an actual unauthenticated request, not just check that one exists.

“Deleting a record here doesn't delete related records there.”

Missing foreign key constraints or cascade rules mean orphaned data accumulates quietly, invisible until a report or an export surfaces rows that shouldn't exist anymore.