performance-audit

To find N+1 queries, run an automated performance audit against your application code to detect inefficient query patterns, missing cache layers, and lazy-loading bottlenecks. The audit outputs prioritized findings with severity, category, and specific code locations.

A code performance audit systematically analyzes application source code to surface performance bottlenecks like large bundle sizes and connection pooling issues. It identifies optimization opportunities by evaluating the codebase against known inefficient patterns and generating recommended fixes.

Yes, you can audit frontend bundle size and backend connection pooling in the same project. The performance audit is applicable to both frontend and backend codebases, categorizing issues like heavy bundles and inefficient connection management with severity levels.

The best way to prioritize slow API response fixes is to run a performance audit that surfaces top hotspots. It provides actionable guidance by ranking optimization opportunities with clear severity levels, issue descriptions, and recommended fixes for immediate remediation.

Yes, the performance audit provides specific code locations for lazy-loading inefficiencies. For each detected issue, it outputs the exact location, category, severity, the issue itself, and concrete recommended fixes to resolve the bottleneck.