The N+1 query problem arises when multiple database queries are triggered in a loop, leading to performance issues as data grows. By adopting efficient querying strategies, such as using JOINs or IN clauses, developers can significantly reduce unnecessary database traffic and improve application performance.

SnapQL allows users to generate schema-aware queries and charts quickly using AI, supporting both PostgreSQL and MySQL databases. It prioritizes user privacy by keeping database credentials local and offers features for managing multiple connections and query histories. Users can build a local copy by following provided setup instructions with options for various platforms.