adhit-r / adhit-r/fairmind

Performance: Optimize Bundle Size & Loading Speed

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enhancement frontend good first issue help wanted performance
主要語言
Python
星號
9
分支
12
平均合併
2 小時 23 分鐘
30 天內合併 PR
2

描述

## Description
Optimize frontend bundle size and improve loading performance.

## Tasks
- Analyze bundle size
- Implement code splitting
- Optimize images and assets
- Add lazy loading
- Improve Core Web Vitals

## Acceptance Criteria
- Bundle size reduced by 30%+
- Lighthouse score > 90
- Faster initial load time
- Improved Core Web Vitals

## Tech Stack
- Next.js
- Webpack/Bundler
- Performance tools

## Getting Started
1. Analyze current bundle
2. Identify optimization opportunities
3. Implement code splitting
4. Optimize assets

## Labels
`good first issue` `frontend` `performance` `enhancement`

## Estimated Effort
**Medium** - 3-4 days

貢獻指南

開啟貢獻指南

研究方向

No files or tests are named. Start by analyzing the current bundle and establishing Lighthouse, loading-time, and Core Web Vitals baselines with the mentioned performance tools; identify the largest opportunities before making changes. Done means the bundle is reduced by at least 30%, Lighthouse exceeds 90, initial loading is faster, and Core Web Vitals improve.

由索引模型根據 Issue 內容生成。

評估

技術堆疊
next.js, webpack
領域
frontend, performance
Issue 類型
功能
難度
4/5
預估耗時
3-5 天
活躍度
停滯
描述清晰度
基本清楚
新手友好度
42/100

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