We recently implemented Waku 轻量级 React RSC 框架, and accumulated quite a bit of experience. Here's a summary for reference, hoping it helps those doing similar work.
Core Concepts
Building on this foundation, we can further optimize:
import { useRef, useEffect, useState } from 'react'
function useIntersectionObserver(options = {}) {
const [isVisible, setIsVisible] = useState(false)
const ref = useRef(null)
useEffect(() => {
const observer = new IntersectionObserver(([entry]) => {
setIsVisible(entry.isIntersecting)
}, { threshold: 0.1, ...options })
const el = ref.current
if (el) observer.observe(el)
return () => { if (el) observer.unobserve(el) }
}, [])
return [ref, isVisible]
}
This pattern is very practical in large projects and can significantly reduce maintenance costs.
In-Depth Analysis
Usage in real projects tends to be more complex:
import { useState, useEffect, useCallback } from 'react'
function DataList({ endpoint, pageSize = 20 }) {
const [data, setData] = useState([])
const [page, setPage] = useState(1)
const [loading, setLoading] = useState(false)
const fetchData = useCallback(async () => {
setLoading(true)
try {
const res = await fetch(`${endpoint}?page=${page}&size=${pageSize}`)
setData(await res.json())
} finally { setLoading(false) }
}, [endpoint, page, pageSize])
useEffect(() => { fetchData() }, [fetchData])
return <div>{loading ? <Spinner /> : <List items={data} />}</div>
}
Through this approach, both the testability and scalability of the code are improved.
Implementation Experience
Here is a complete example:
import { Suspense } from 'react'
import { UserList } from './components/UserList'
export default async function HomePage() {
return (
<main className="container mx-auto p-4">
<h1>控制台</h1>
<Suspense fallback={<Skeleton />}>
<UserList />
</Suspense>
</main>
)
}
Pay attention to boundary condition handling, which is critical in production.
Optimization Strategies
The key lies in understanding the core logic:
import { useReducer, useCallback } from 'react'
const initialState = { items: [], filter: '', sort: 'date' }
function reducer(state, action) {
switch (action.type) {
case 'SET_ITEMS': return { ...state, items: action.payload }
case 'SET_FILTER': return { ...state, filter: action.payload }
case 'ADD_ITEM': return { ...state, items: [...state.items, action.payload] }
case 'REMOVE_ITEM': return { ...state, items: state.items.filter(i => i.id !== action.payload) }
default: throw new Error(`Unknown: ${action.type}`)
}
}
Performance optimization should be tailored to specific scenarios; not all cases require over-optimization.
Important Notes
We can improve it in the following ways:
import { NextRequest, NextResponse } from 'next/server'
import { z } from 'zod'
const UserSchema = z.object({
name: z.string().min(2).max(50),
email: z.string().email(),
role: z.enum(['admin', 'user', 'guest']).default('user')
})
export async function POST(request: NextRequest) {
const body = await request.json()
const result = UserSchema.safeParse(body)
if (!result.success) {
return NextResponse.json({ error: result.error.flatten() }, { status: 400 })
}
const user = await db.user.create({ data: result.data })
return NextResponse.json({ data: user }, { status: 201 })
}
This approach has been running stably in production for over six months and has been practically validated.
Summary
- Waku 轻量级 React RSC 框架 is not a silver bullet; choose based on your project scale and tech stack
- Understanding underlying principles is more important than memorizing APIs
- Always verify compatibility before using in production
- In team collaboration, conventions and documentation are more important than the technology itself