Client-side fetching is officially a "Legacy" move 🛑 We’ve all been there: a React page loads, then a spinner appears, then another spinner inside a child component. This "Waterfall" effect is a UX killer. In 2026, the standard is moving data fetching to the server. With React Server Components (RSC), we’re finally fetching data where it lives, close to the database. This means sending zero JavaScript to the client for data-heavy sections. The result? Sub-100ms LCP (Largest Contentful Paint) and a much cleaner codebase. If your useEffect is still doing the heavy lifting for your initial page load, it’s time for a refactor. https://buff.ly/quWlloN #ReactJS #NextJS #WebPerformance #Frontend #CodingBestPractices
React Server Components: Legacy Client-Side Fetching Becomes Obsolete
More Relevant Posts
-
What if most of your 𝘂𝘀𝗲𝗦𝘁𝗮𝘁𝗲… shouldn’t exist at all? Not because it’s wrong— but because it’s in the wrong place. Most "state management problems" today aren't about tools. They're about 𝘄𝗵𝗲𝗿𝗲 𝘄𝗲 𝗽𝘂𝘁 𝘀𝘁𝗮𝘁𝗲. The React Server Components (RSC) shift quietly changed the question: → Not "Which state library should I use?" → But "Should this state even exist on the client?" 🧠 𝗧𝗵𝗲 𝗦𝗵𝗶𝗳𝘁: 𝗦𝘁𝗮𝘁𝗲 𝙋𝙡𝙖𝙘𝙚𝙢𝙚𝙣𝙩 > 𝗦𝘁𝗮𝘁𝗲 𝙈𝙖𝙣𝙖𝙜𝙚𝙢𝙚𝙣𝙩 For years, the default was: fetch data → useState → lift state → global store → more syncing It worked. But also created a lot of accidental complexity: re-fetching, duplication, syncing bugs etc Now we have a different option (with RSC): fetch on the server → render and stream the result → done No client state. No duplication. 📦 𝗟𝗶𝗳𝘁𝗶𝗻𝗴 𝘀𝘁𝗮𝘁𝗲 𝙫𝙨 𝗰𝗼𝗹𝗼𝗰𝗮𝘁𝗶𝗻𝗴 𝗼𝗻 𝘀𝗲𝗿𝘃𝗲𝗿 Instead of pushing state higher in the tree, we can colocate data where its used Or better, keep it on the server entirely • Less prop drilling • Less syncing • Fewer bugs ⚖️ 𝗧𝗿𝗮𝗱𝗲𝗼𝗳𝗳 𝘁𝗼 𝗯𝗲 𝗮𝘄𝗮𝗿𝗲 𝗼𝗳 Too much on the server → sluggish, less interactive UX Too much on the client → same old complexity, syncing issues The skill now is 𝗰𝗵𝗼𝗼𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗯𝗼𝘂𝗻𝗱𝗮𝗿𝘆 𝘄𝗲𝗹𝗹. 💡 𝗙𝗶𝗻𝗮𝗹 𝗧𝗵𝗼𝘂𝗴𝗵𝘁 useState isn't obsolete. But it's no longer the default place to put everything. Modern React is shifting from: "manage state everywhere" to: "decide where state should live in first place". #ReactJS #WebDevelopment #JavaScript #NextJS #StateManagement #ReactServerComponents #SoftwareEngineering
To view or add a comment, sign in
-
Most React developers start API calls with useEffect(). It works. Until the project gets bigger. Then suddenly: ❌ Manual loading state ❌ Manual error handling ❌ Duplicate API calls ❌ No caching ❌ Refetch logic becomes messy ❌ Background sync becomes difficult ❌ Race conditions become common And your component starts doing too much. That’s when you realize: useEffect is not a data-fetching solution. It is a side-effect hook. That’s where React Query changes everything. useEffect helps you run effects. React Query helps you manage server state. That difference is huge. Use useEffect() for: ✔ Timers ✔ Event listeners ✔ Subscriptions ✔ External system sync ✔ Simple one-time logic Use React Query for: ✔ API fetching ✔ Response caching ✔ Auto refetching ✔ Pagination ✔ Infinite scroll ✔ Mutations ✔ Background updates ✔ Optimistic UI The biggest mistake is using useEffect like a mini backend framework. It was never designed for that. Better architecture: Client state → useState() / useReducer() Server state → React Query That separation creates: ✔ Cleaner code ✔ Better UX ✔ Faster applications ✔ Less debugging ✔ Predictable state management Good React code is not about using fewer libraries. It is about using the right tool for the right problem. Sometimes the best optimization is removing unnecessary code—not adding more. What do you prefer for API calls in production apps: useEffect() or React Query? 👇 #ReactJS #ReactQuery #useEffect #FrontendDevelopment #JavaScript #StateManagement #WebDevelopment #SoftwareEngineering
To view or add a comment, sign in
-
-
🚀 How to Optimize API Calls in React (Simple & Practical Guide) Many React applications don’t feel slow because of UI… They feel slow because of inefficient API calls ⚠️ Let’s fix that 👇 ❌ Without Optimization • Too many unnecessary API calls • Same data fetched again & again • Slow UI & laggy experience • Increased server load ✅ With Optimization • Only required API calls • Cached & reused data • Faster UI response ⚡ • Better user experience 🧠 Best Practices to Optimize API Calls 🧩 1. Fetch Only What You Need → Avoid large payloads ✔ Request only required fields ⚡ 2. Use Caching (React Query / SWR) → Don’t refetch same data ✔ Automatic caching + background updates 🔁 3. Avoid Duplicate Requests → Use global state (Context / Redux) ✔ Prevent repeated API calls ⌛ 4. Debounce & Throttle → Reduce API calls while typing ✔ Best for search & filters 📄 5. Pagination / Infinite Scroll → Load data in chunks ✔ Improves performance & UX ❌ 6. Cancel Unnecessary Requests → Abort previous requests ✔ Saves bandwidth & avoids race conditions 🔗 7. Batch API Requests → Combine multiple calls into one ✔ Faster and efficient 🎯 8. Conditional Fetching → Call API only when needed ✔ Avoid useless requests 🔄 9. Background Refetching → Keep UI fast + data fresh ✔ Show cached data instantly ⚡ 10. Use Proper HTTP Methods → Follow REST best practices ✔ Improves API efficiency 🔥 Real Impact ✔ Faster applications ✔ Smooth user experience ✔ Reduced server cost ✔ Better scalability 💡 Final Thought Optimizing API calls is one of the easiest ways to boost performance without changing your UI. 👉 Which technique do you use the most in your React apps? #ReactJS #FrontendDevelopment #WebPerformance #JavaScript #API #SoftwareEngineering #Developers
To view or add a comment, sign in
-
-
The "Ghost in the API": How I fixed a major rendering lag 👻 While working on a complex user dashboard at Codes Thinker, I encountered a frustrating performance bottleneck. Every time a user triggered a data fetch, the entire UI would "freeze" for a split second before updating. Even with a fast backend API, the user experience felt "heavy" and unprofessional. The Challenge: We were fetching large, nested JSON objects directly inside a parent component. Every time the API responded, the entire component tree re-rendered, causing a visible performance lag during data transformation. The Solution: React Query: I implemented React Query to handle caching. This ensured that if a user requested the same data twice, the result was instant. Data Transformation: Instead of passing the raw "heavy" object to components, I mapped the data into a lighter format immediately after fetching. Optimistic UI: I used Tailwind CSS to create smooth skeleton loaders, making the app feel faster while the data was still loading. The Result: The rendering lag disappeared, and the user experience became fluid. Sometimes, being a Senior Frontend Developer is about knowing when not to fetch data as much as how to fetch it. Have you ever faced a stubborn API lag? How did you tackle it? Let’s share some dev stories! 👇 #RESTAPI #NextJS #PerformanceOptimization #MERNStack #WebDevelopment #CleanCode #ReactJS #TailwindCSS
To view or add a comment, sign in
-
-
🚀 Stop treating Server State like UI State. As React developers, we’ve all been there: building "custom" fetching logic with useEffect and useState. It starts with one loading spinner and ends with a nightmare of manual cache-busting and race conditions. When I started migrating my data-fetching to TanStack Query, it wasn't just about "fewer lines of code"—it was about a shift in mindset. The Real Game Changers: Declarative vs. Imperative: Instead of telling React how to fetch (and handle errors/loading), you describe what the data is and when it should be considered stale. Focus Refetching: This is a huge UX win. Seeing data update automatically when a user switches back to the tab feels like magic to them, but it’s just one config line for us. Standardized Patterns: It forces the whole team to handle errors and loading states the same way, which makes code reviews much faster. The Win: In a recent refactor, I replaced a tangled mess of global state syncs and manual useEffect triggers with a few useQuery hooks. I was able to delete a significant chunk of boilerplate while fixing those "stale data" bugs that always seem to haunt client-side apps. The takeaway: Don't reinvent the cache. Use tools that let you focus on the product, not the plumbing. 👇 Question for the devs: Are you using TanStack Query for everything, or are you finding that Next.js Server Actions and the native fetch cache are enough for your use cases now? #reactjs #nextjs #frontend #webdev #tanstackquery #javascript
To view or add a comment, sign in
-
Frontend Performance Concepts You Can’t Ignore Scaling a web application isn’t just about handling more users—it’s about delivering a seamless experience, even as your user base grows. Here are six battle-tested strategies to keep your app fast, responsive, and scalable: 1️⃣ CDN for Images Leverage Content Delivery Networks (CDNs) to serve images from edge locations closest to your users. This reduces latency and offloads bandwidth from your origin server. Result: Faster load times, happier users. 2️⃣ Code Splitting Break your JavaScript bundles into smaller chunks using tools like Webpack or Rollup. Load only the code needed for the current view. Result: Quicker initial load and smoother navigation. 3️⃣ Lazy Loading Defer loading non-critical resources (images, iframes, components) until they’re needed. Modern browsers support native lazy loading for images and iframes. Result: Faster perceived performance and lower data usage. 4️⃣ Virtualization of Data Use techniques like windowing or pagination (e.g., React Virtualized, TanStack Table) to render only the data visible in the viewport. Result: Smooth scrolling and snappy UIs, even with massive datasets. 5️⃣ HTTP/1 to HTTP/2 Upgrade to HTTP/2 for multiplexing, header compression, and server push. This reduces round trips and improves parallel loading. Result: Faster page loads and more efficient use of network resources. 6️⃣ Image Optimization Compress, resize, and serve images in modern formats (WebP, AVIF). Use responsive images with srcset and tools like ImageMagick or Cloudinary. Result: Smaller file sizes, faster loads, and lower bandwidth costs. Final Thought: Scaling is not just backend — frontend performance matters just as much. #Frontend #WebPerformance #JavaScript #ReactJS #WebDev #PerformanceOptimization
To view or add a comment, sign in
-
-
⚛️ 𝗔𝘃𝗼𝗶𝗱𝗶𝗻𝗴 𝗢𝘃𝗲𝗿-𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗲𝗱 𝗦𝘁𝗮𝘁𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗶𝗻 𝗥𝗲𝗮𝗰𝘁 In many React applications, state management becomes more complex than it actually needs to be. 𝗔 𝗰𝗼𝗺𝗺𝗼𝗻 𝗽𝗮𝘁𝘁𝗲𝗿𝗻: • adding Redux / global state too early • moving all state to global store • increasing boilerplate and complexity But not all state needs to be global. ❌ 𝗢𝘃𝗲𝗿-𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗲𝗱 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 // 𝘨𝘭𝘰𝘣𝘢𝘭 𝘴𝘵𝘰𝘳𝘦 𝘧𝘰𝘳 𝘦𝘷𝘦𝘳𝘺𝘵𝘩𝘪𝘯𝘨 𝘤𝘰𝘯𝘴𝘵 𝘶𝘴𝘦𝘳 = 𝘶𝘴𝘦𝘚𝘦𝘭𝘦𝘤𝘵𝘰𝘳(𝘴𝘵𝘢𝘵𝘦 => 𝘴𝘵𝘢𝘵𝘦.𝘶𝘴𝘦𝘳); 𝘤𝘰𝘯𝘴𝘵 𝘵𝘩𝘦𝘮𝘦 = 𝘶𝘴𝘦𝘚𝘦𝘭𝘦𝘤𝘵𝘰𝘳(𝘴𝘵𝘢𝘵𝘦 => 𝘴𝘵𝘢𝘵𝘦.𝘵𝘩𝘦𝘮𝘦); 𝘤𝘰𝘯𝘴𝘵 𝘮𝘰𝘥𝘢𝘭 = 𝘶𝘴𝘦𝘚𝘦𝘭𝘦𝘤𝘵𝘰𝘳(𝘴𝘵𝘢𝘵𝘦 => 𝘴𝘵𝘢𝘵𝘦.𝘮𝘰𝘥𝘢𝘭); Even simple UI states are stored globally. This makes: • debugging harder • components tightly coupled • unnecessary re-renders ✅ Practical approach Use state based on scope: • local state → useState • shared state → Context API • server state → React Query • global app state → only when truly needed 𝗘𝘅𝗮𝗺𝗽𝗹𝗲: 𝘧𝘶𝘯𝘤𝘵𝘪𝘰𝘯 𝘔𝘰𝘥𝘢𝘭() { 𝘤𝘰𝘯𝘴𝘵 [𝘪𝘴𝘖𝘱𝘦𝘯, 𝘴𝘦𝘵𝘐𝘴𝘖𝘱𝘦𝘯] = 𝘶𝘴𝘦𝘚𝘵𝘢𝘵𝘦(𝘧𝘢𝘭𝘴𝘦); 𝘳𝘦𝘵𝘶𝘳𝘯 ( <> <𝘣𝘶𝘵𝘵𝘰𝘯 𝘰𝘯𝘊𝘭𝘪𝘤𝘬={() => 𝘴𝘦𝘵𝘐𝘴𝘖𝘱𝘦𝘯(𝘵𝘳𝘶𝘦)}>𝘖𝘱𝘦𝘯</𝘣𝘶𝘵𝘵𝘰𝘯> {𝘪𝘴𝘖𝘱𝘦𝘯 && <𝘥𝘪𝘷>𝘔𝘰𝘥𝘢𝘭 𝘊𝘰𝘯𝘵𝘦𝘯𝘵</𝘥𝘪𝘷>} </> ); } 📌 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗺𝗶𝗻𝗱𝘀𝗲𝘁: • keep state as close as possible to where it’s used • avoid global store for UI state • introduce tools only when required • prefer simplicity over abstraction 📌 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: • cleaner architecture • better performance • easier debugging • more maintainable code Not every problem needs a global state solution. Sometimes, simple patterns scale better. 💬 Curious — Do you decide state location upfront, or refactor as the app grows? #ReactJS #StateManagement #FrontendDevelopment #JavaScript #WebDevelopment #SoftwareEngineering #CleanCode #ReactArchitecture
To view or add a comment, sign in
-
💡 What’s new in React 19 (with simple examples) The latest updates in **React (React 19)** are making development simpler, faster, and smarter. 💡 **Top Features (with simple examples):** ✨ **Actions (Easy form handling)** No need for separate onSubmit + API calls async function handleSubmit(formData) { console.log(formData.get("name")); } <form action={handleSubmit}> <input name="name" /> <button>Submit</button> </form> ✨ **use() Hook (Async made simple)** 👉 Before: useEffect(() => { fetch("/api/user") .then(res => res.json()) .then(setUser); }, []); 👉 Now: const user = use(fetch("/api/user").then(res => res.json())); return <h1>{user.name}</h1>; ✔ React waits automatically — no state, no useEffect ✨ **Server Components** Fetch directly on server → faster UI export default async function Page() { const user = await fetchUser(); return <h1>{user.name}</h1>; } ✨ **Forms (Simplified)** <form action={(formData) => console.log(formData.get("email"))}> <input name="email" /> </form> ✨ **Performance (Suspense)** <Suspense fallback={<p>Loading...</p>}> <UserProfile /> </Suspense> 🔥 **Hot Changes:** ⚡ Automatic memoization → fewer re-renders ⚡ Ref as prop → no forwardRef ⚡ Better error messages → easier debugging ⚡ Web components → use custom elements easily 🔥 **What this means:** ✔ Less code ✔ Better performance ✔ Cleaner logic ✔ Easier async handling 💭 **My take:** React is becoming simpler *and* more powerful at the same time. 👉 **Question:** Will you still use useEffect everywhere, or switch to `use()`? 💬 Let’s discuss! #React #ReactJS #React19 #Frontend #JavaScript #WebDevelopment #NextJS #Programming
To view or add a comment, sign in
-
-
"WebAssembly for compute-heavy web apps?" Everyone's jumping on the bandwagon without understanding the real deal. Here's where they miss the point. 1. **Optimize Performance**: Use WebAssembly to run CPU-intensive tasks like image processing directly in the browser. I've seen apps achieve near-native speed, reducing server load significantly. 2. **Enhance User Experience**: Build applications that can handle real-time data manipulation without breaking a sweat. WebAssembly enables smoother animations and interactions by offloading heavy computations from JavaScript. 3. **Boost Compatibility**: Integrate existing C/C++ libraries into web apps seamlessly. This lets you leverage mature, battle-tested code while developing in a modern web environment. 4. **Improve Security**: Avoid common JavaScript pitfalls with WebAssembly's sandboxed execution. It inherently minimizes attack surfaces and offers a more secure option for sensitive computations. 5. **Streamline Development**: Try vibe coding to quickly prototype features with AI assistance. WebAssembly allows faster iterations by decoupling heavy logic from the main application flow. 6. **Scale Applications**: Avoid bottlenecks during peak loads by distributing compute tasks efficiently. WebAssembly helps in parallelizing tasks to take full advantage of multicore processors. ```typescript const importWasm = async (path: string) => { const response = await fetch(path); const buffer = await response.arrayBuffer(); const module = await WebAssembly.compile(buffer); const instance = await WebAssembly.instantiate(module); return instance.exports; }; (async () => { const wasmModule = await importWasm('path/to/module.wasm'); console.log(wasmModule.someHeavyFunction()); })(); ``` How are you integrating WebAssembly in your projects? What real-world challenges have you faced? Looking forward to hearing your experiences. #WebDevelopment #TypeScript #Frontend #JavaScript
To view or add a comment, sign in
-
🚀 Day 26/30 – useReducer (Advanced State Management) When state gets messy… "useState" starts struggling 👀 Today I learned how React handles complex state updates cleanly ⚡ 👉 useReducer --- 💻 The Problem: Managing multiple related states with "useState" ❌ 👉 Too many setters 👉 Scattered logic 👉 Hard to maintain --- 💻 The Solution: Use "useReducer" ✅ 👉 Centralize state logic in one place 👉 Predictable updates 👉 Easier to scale --- 💻 Example: import { useReducer } from "react"; const initialState = { count: 0 }; function reducer(state, action) { switch (action.type) { case "INCREMENT": return { count: state.count + 1 }; case "DECREMENT": return { count: state.count - 1 }; default: return state; } } function App() { const [state, dispatch] = useReducer(reducer, initialState); return ( <> <h2>{state.count}</h2> <button onClick={() => dispatch({ type: "INCREMENT" })}> + </button> <button onClick={() => dispatch({ type: "DECREMENT" })}> - </button> </> ); } --- 🔥 What actually happens: 1️⃣ User clicks button 2️⃣ dispatch(action) runs 3️⃣ reducer receives state + action 4️⃣ New state returned 5️⃣ UI updates --- 💡 Why this matters: ✅ Better for complex forms ✅ Multiple related states ✅ Cleaner update logic --- ⚡ Real Use Cases: - Shopping cart - Auth flow - Form wizard - Dashboard filters --- ⚡ Advanced Insight: "useReducer" is the same mental model used in Redux 👀 --- 🔥 Key Takeaway: Simple state → useState Complex state → useReducer --- Be honest 👇 Are you still forcing everything into useState? 🚀 #React #useReducer #FrontendDevelopment #JavaScript #StateManagement
To view or add a comment, sign in
-
Explore content categories
- Career
- Productivity
- Finance
- Soft Skills & Emotional Intelligence
- Project Management
- Education
- Technology
- Leadership
- Ecommerce
- User Experience
- Recruitment & HR
- Customer Experience
- Real Estate
- Marketing
- Sales
- Retail & Merchandising
- Science
- Supply Chain Management
- Future Of Work
- Consulting
- Writing
- Economics
- Artificial Intelligence
- Employee Experience
- Workplace Trends
- Fundraising
- Networking
- Corporate Social Responsibility
- Negotiation
- Communication
- Engineering
- Hospitality & Tourism
- Business Strategy
- Change Management
- Organizational Culture
- Design
- Innovation
- Event Planning
- Training & Development