Blog

Learn how to spot SQL injection in AI-generated CRUD apps, with concrete vulnerable query examples and safer replacements using parameters and ORM features.

Fix broken database migrations with a safe recovery plan: audit migration history, detect environment drift, rebuild a clean chain, and protect data during rollout.

A practical playbook to migrate SQLite to Postgres in AI-built apps: schema mapping, data types, indexing changes, phased cutovers, and checks.

Postgres production readiness in 48 hours: a practical plan for backups, monitoring, connection pooling, roles, permissions, and DR drills after a prototype.

Data cleanup after a rushed prototype: deduplication and integrity repair steps to find duplicates, fix orphan rows, enforce constraints, and validate with scripts.

Learn how to fix a messy database schema from an AI-generated app using a safe triage flow: map entities, remove duplicates, normalize tables, add constraints.

Untangle spaghetti database relationships by spotting circular dependencies, overloaded tables, and unclear ownership, then redesigning with simple rules.

AI-built app is slow? Start with the top database issues: N+1 queries, missing indexes, unbounded scans, and chatty ORMs, with quick fixes.

Use this database refactor checklist to take a prototype schema to production: naming, constraints, indexes, foreign keys, data types, and rollback steps.