AI SQL Generation: Best Practices for Production Queries

AI-generated SQL is good — but review is essential

The [AI SQL Builder](/sql/builder) can generate complex JOIN queries, window functions, and CTEs from a plain-English description. But shipping AI-generated SQL directly to production without review is a mistake.

What to always check

**Index usage** — Does the WHERE clause use indexed columns?

**N+1 risks** — Does the query generate Cartesian products by accident?

**NULL handling** — AI sometimes forgets `IS NULL` vs `= NULL`

**Data types** — Implicit casts can cause full table scans

A safe workflow

Generate in the AI Builder

2. Run in the [SQL Sandbox](/sql/sandbox) against sample data

3. Use the [SQL Explainer](/sql/explainer) to verify your understanding

4. Add to production behind a feature flag

Following this workflow, AI-generated SQL is a massive productivity win with minimal risk.