Introducing pg_ai_query: AI-Powered SQL Generation and Query Analysis for PostgreSQL

On November 23, 2025, Sachin Beniwal (benodiwal) announced the release of pg_ai_query — a groundbreaking PostgreSQL extension that integrates AI-powered query development directly into your Postgres environment.

This open-source extension is designed to significantly enhance developer productivity by allowing you to:

• Generate SQL from natural language: Simply describe what you need, for example, SELECT generate_query('list customers who have not placed an order in the last 90 days');
• Analyze query performance: Utilize AI-interpreted EXPLAIN ANALYZE results for deeper insights.
• Receive optimization recommendations: Get intelligent suggestions for indexing and query rewrites.
• Leverage schema-aware intelligence: Benefit from secure introspection for contextually relevant query assistance.

pg_ai_query aims to empower developers to write and tune SQL queries more rapidly, eliminating the need to switch between different tools and accelerating iteration cycles for complex workloads.

Key Information:

• Documentation and Installation: https://benodiwal.github.io/pg_ai_query
• Source Code: https://github.com/benodiwal/pg_ai_query
• Compatibility: Supports PostgreSQL 14 and newer versions.

Sachin Beniwal emphasizes that feedback and contributions from the community are highly encouraged. The project is actively maintained and poised for continued evolution with community guidance.

Best regards, Sachin Beniwal