query-optimize

To fix Prisma N+1 query issues, scan your src/ directory to identify nested query patterns and apply batching or inclusion strategies. This process proposes concrete optimizations and documents before/after performance results.

The best way to optimize slow database queries in a Knex project is to scan for inefficient query patterns, implement selective fetching for missing selects, and apply recommended indexing. It requires confirmation before applying changes.

Yes, you can automatically find missing select statements in your ORM codebase. The query discovery feature scans for common patterns like findMany and recommends selective field fetching to reduce latency.

Yes, query optimization works with both JavaScript and TypeScript ORMs like Prisma and Knex. It scans your backend project's source code to detect inefficient query patterns and suggests appropriate batching strategies.

Reduce database latency by batching nested loops through N+1 detection, which identifies looped query patterns and suggests batching or inclusion strategies. It shows before/after demonstrations for each applied optimization.