The original title is: "Compilable Pseudocode Specs Reduce AI-Generated SQL Logic Errors"

Short summary

AI-generated SQL often runs correctly but produces logically wrong results, creating a costly verification burden during code review. The article proposes 'compilable pseudocode' — a spec format that is both human-readable and machine-compilable — to eliminate hallucinations by using deterministic compilation instead of probabilistic AI generation. It demonstrates this approach using SQLazy, a tool that breaks SQL tasks into verifiable steps like sort, segment, summarize, and filter.

• •AI-generated SQL can be syntactically correct but logically wrong, making verification expensive
• •Compilable pseudocode constrains AI to translation rather than generation, reducing hallucination surface
• •SQLazy demonstrates a step-based workflow (sort, segment, summarize, filter) for deterministic SQL generation

Generated with AI, which can make mistakes.