ln-812-query-optimizer

To fix N+1 queries and redundant fetches, an audit-driven optimizer identifies inefficiencies in hot paths and applies surgical code edits to remove them. It verifies changes via tests to ensure correctness while improving performance.

Over-fetching occurs when database queries retrieve more data than needed. You resolve it by applying surgical code modifications to eliminate redundant fetches, using a test framework to validate that the optimized queries maintain correctness.

Yes, a test framework is required to optimize database queries safely. It validates the surgical code edits by running keep/discard verification, ensuring the query optimization changes maintain correctness and do not break existing functionality.

The best way to automate query optimization is using an audit-driven workflow that takes audit findings as input, applies deterministic code edits to hot paths, and generates a remediation report detailing before/after results and test coverage.

Yes, query optimization changes can be verified before production by running them against a test framework. This keep/discard verification validates that the surgical fixes for N+1 patterns and over-fetching produce correct results.