AI/AIZENME
🔥 CODING · Dev & Data Level: Intermediate ⏱ 15 MIN Free & Open Source

Diagnose Chrome DevTools Performance Flamegraphs & Core Web Vitals (LCP/INP) with AI

Staring at a dense Chrome DevTools Performance flamegraph without knowing why your page stutters? Feed Long Task call stacks and Lighthouse JSON audits to AI to pinpoint main-thread blockers, layout thrashing and LCP bottlenecks.

CORE TOOLS Chrome DevTools, Lighthouse, DeepSeek / Claude
BEST FOR Frontend developers, full-stack engineers, e-commerce site owners
REQUIREMENTS Google Chrome DevTools + any coding LLM
✦ WHY THIS WORKFLOW

Guessing at performance optimizations wastes days on micro-tweaks. Feeding actual DevTools Bottom-Up stacks to AI targets the exact main-thread blocker for immediate 5x speedups.

✦ Interactive Workflow Animation Preview

Step-by-Step Action Checklist

0 / 4 Completed
READY-TO-USE PROMPT TEMPLATE
Open Official Tool / Repo ↗
Act as a Chrome Web Performance Architect specializing in Core Web Vitals (LCP, INP, CLS).
Here is our Chrome DevTools Performance `Bottom-Up` trace summary / Lighthouse output alongside the suspect component code:
[Paste trace metrics & component source code]
Provide:
1) [Root-Cause Diagnosis]: Pinpoint whether the bottleneck is network contention, JS main-thread blocking, or layout thrashing;
2) [Drop-in Code Refactor]: Rewrite the component to eliminate forced reflows, break up Long Tasks, or memoize expensive computations;
3) [3 High-Impact HTML/CSS Quick Wins]: Such as `fetchpriority="high"`, `content-visibility: auto`, or resource hints.
Use Cases & Tags:
Pinpointing main-thread Long Tasks (>50ms) hurting INPDiagnosing LCP bottlenecks across TTFBrender-blocking CSS and hero imagesFixing React/Vue unnecessary re-renders & forced reflowsSplitting bloated bundles with dynamic imports#chrome-devtools#lighthouse