Performance Engineering

Subtitle: Locate performance issues to specific stages along the critical path and rendering pipeline

Module Positioning

Performance optimization is not a single-point trick like "add will-change" or "use transform for animations." It is a complete engineering method from problem localization to optimization verification. This module centers on the modern browser's critical path and rendering pipeline, decomposing performance issues into three models — waiting / blocking / redundant work — so that every optimization is evidence-based.

Each optimization recommendation is paired with a DevTools verification path and an actionable practice checklist, avoiding pseudo-optimizations that "look improved" but actually change nothing.

The module also addresses engineering governance: from metric breakdown and resource loading to bundle size and runtime monitoring with performance budgets, turning performance from one-off tuning into a sustainable engineering capability.

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Knowledge Map

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    classDef core fill:#172033,color:#fff,stroke:#172033,stroke-width:2px
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    PE["Performance Engineering"]:::core

    subgraph Published["Published"]
        RP["Rendering Performance Pitfalls Guide"]:::work
        CP["Critical Path and Rendering Pipeline"]:::work
    end

    subgraph Planned["Planned"]
        CWV["Core Web Vitals Deep Dive"]:::wait
        RL["Resource Loading Optimization"]:::wait
        BS["Bundle Size and Tree Shaking"]:::wait
        RM["Runtime Performance Monitoring"]:::wait
        PB["Performance Budgets"]:::wait
    end

    PE --> RP
    PE --> CP
    PE --> CWV
    PE --> RL
    PE --> BS
    PE --> RM
    PE --> PB

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Core Topics

• ✓ Critical path and rendering pipeline — TTFB / resource discovery / HTML-CSS-JS parsing / module dependency graph / LCP breakdown
• ✓ Rendering performance pitfalls — Common traps and solutions at Layout / Paint / Composite stages
• ◯ Core Web Vitals deep dive — Metric breakdown and optimization directions for LCP / INP / CLS / TTFB
• ◯ Resource loading optimization — Preload / preconnect / resource priority / cache strategy
• ◯ Bundle size and tree shaking — Dependency analysis / on-demand loading / dead code elimination
• ◯ Runtime performance monitoring — Long tasks / JIT deoptimization / GC pauses / INP optimization
• ◯ Performance budgets — Budget definition / CI gates / regression protection

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Learning Path

1. Start with "The Underlying Chain of Modern Frontend Performance" to build the three-model mental framework of waiting / blocking / redundant work
2. Then read "Rendering Performance Pitfalls Guide" to dive into stage-specific traps along the rendering pipeline
3. Proceed through Core Web Vitals → Resource Loading → Bundle Size → Runtime Monitoring → Performance Budgets in order

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Article Guide

• Rendering Performance Pitfalls Guide — Common traps and solutions at Layout / Paint / Composite stages
• The Underlying Chain of Modern Frontend Performance — A complete performance model from TTFB to Hydration

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Intended Readers

• Performance owners who need to build a team-level performance diagnosis and optimization framework
• Intermediate and senior frontend engineers who want to move beyond single-point optimizations like "add will-change"
• Frontend architects who need to evaluate how technical choices affect the critical path

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Extended Resources

• web.dev/performance — Google's authoritative guide to performance optimization
• Chrome DevTools Documentation — Official docs for performance analysis tooling
• Core Web Vitals — Official specification of core performance metrics
• "High Performance Browser Networking" by Ilya Grigorik — A classic on browser networking and performance