page-speed-optimizer

Fix layout shifts and improve Core Web Vitals by running an evidence-based frontend performance audit that analyzes field data, lab tests, and traces to identify bottlenecks causing visual jank. The process ranks performance issues using measured evidence without applying code changes unless explicitly approved.

Optimize slow frontend page loads and interaction latency through bounded measured fix loops that implement high-impact optimizations one at a time. This method applies safe fixes with before/after validation and full state tracking to prevent regressions.

Reduce asset cost and analyze third-party script performance by inspecting page loads, route transitions, and cache/CDN surfaces. The audit identifies render-blocking scripts and unoptimized route chunks, recommending safe fixes validated with measured evidence.

Yes, the performance optimization approach tests bfcache and back-forward navigation behavior. It satisfies requirements for bfcache behavior testing, back-forward navigation analysis, and production-like measurement gating to ensure safe fix validation.

Validate frontend performance fixes without causing regressions by using bounded measured fix loops with before/after validation and full state tracking. This ensures safe fix validation through production-like measurement gating and evidence-based performance ranking.

A 4-second LCP on a SaaS dashboard is often caused by unoptimized route chunks or render-blocking third-party scripts. An evidence-based performance audit identifies the root cause, recommends safe fixes, and verifies the improvement with measured evidence.