performance-optimization

To fix Core Web Vitals bottlenecks, run Lighthouse and real-user monitoring to establish baselines, identify root causes like oversized bundles or main-thread work, and apply targeted remediations with before/after verification.

The best way to reduce bundle size and improve interaction latency is to profile main-thread work, implement code-splitting and image delivery optimization, and enforce performance budgets through CI checks to prevent regressions.

Resolve N+1 database queries causing API response time regressions by profiling backend query hotspots, applying targeted caching and query optimization fixes, and validating improvements through measured before/after latency verification.

Yes, you can use performance budgets and CI checks to prevent frontend regressions by enforcing Lighthouse thresholds and verifying that code-splitting and asset optimization changes maintain established Core Web Vitals baselines.

Application performance optimization requires both synthetic and real-user monitoring data to accurately measure bottlenecks, combining Lighthouse DevTools profiling with web-vitals RUM data to establish baselines and surface root causes.

You should not use performance optimization techniques for main-thread work without first gathering profiling data from Lighthouse or web-vitals, as targeted fixes require measurable baselines and root cause analysis to be effective.