Optimistic UIs in React 19: Automate Rollbacks with useOptimistic

The `useDeferredValue` hook completely shifted how I handled performance in my React applications. I moved away from fighting with "janky" interfaces during heavy UI updates. I stopped relying on clunky debounce functions or manual timers to keep my inputs smooth—React essentially took over the timing for me. It created a bridge between instant user interactions and the heavy processing happening in the background. My components felt lighter, and the user experience became noticeably more fluid without any extra overhead. Key highlights from my experience: ⏺ Prioritized responsiveness: I allowed the search bar to stay snappy while the complex data results "lagged" slightly behind. ⏺ Avoided UI freezes: Instead of the whole screen locking up, React kept the previous UI visible until the new one was ready. ⏺ Simplified optimization: I paired it with memo to ensure heavy components only re-rendered when the deferred value finally caught up. ⏺ Replaced manual throttling: I ditched the old setTimeout hacks for a native, smarter way to handle rapid state changes. ⏺ Managed background transitions: It gave me a clean way to show "stale" content while the fresh data was being calculated. #react #webdevelopment #javascript #hooks #frontend

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

👉🏻 Stop guessing where your Next.js code actually runs. - Most developers use Next.js… but many overlook the fundamental shift that makes it powerful: 👉 The execution boundary — Server vs Client. And that gap quietly leads to: - Slower applications - Bloated JavaScript bundles - Avoidable security risks If you want to move from just using the framework to mastering it, you need to understand this mental model. ⚡ Server Components — The Heavy Lifters Server Components run exclusively on the server. They are built for: • Data fetching → retrieve data at the source • Security → keep secrets and business logic protected • Performance → send zero JavaScript to the browser 👉 The result: faster load times and leaner applications. ⚡ Client Components — The Interactive Layer Client Components run in the browser. Use them only when necessary: • Interactivity → clicks, forms, UI behavior • State & lifecycle → useState, useEffect • Browser APIs → window, localStorage 👉 They power the experience—but add to your bundle. 💡 The Golden Rule ▪️Server Components → Data, Security, Performance ▪️Client Components → Interaction, State, Experience 📌 Practical Example Think of a dashboard: • Data fetching, layout → Server • Search, filters, actions → Client This separation ensures the browser only handles what truly requires interaction. 🚀 Why this matters Modern applications are judged by speed and efficiency. The more logic you keep on the server, the less JavaScript your users need to download, parse, and execute. #NextJS #WebDevelopment #ReactJS #FullStack #Clientside #Serverside #ReactFramework #Rendering #SIRISAPPS

⚛️ 𝗜𝗺𝗽𝗿𝗼𝘃𝗶𝗻𝗴 𝗥𝗲𝗮𝗰𝘁 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 — 𝗨𝘀𝗶𝗻𝗴 𝗖𝗼𝗱𝗲 𝗦𝗽𝗹𝗶𝘁𝘁𝗶𝗻𝗴 As React applications grow, bundle size increases — which directly impacts initial load time. Common problem: • large JS bundle • slow first load • unnecessary code loaded upfront A better production approach is 𝗖𝗼𝗱𝗲 𝗦𝗽𝗹𝗶𝘁𝘁𝗶𝗻𝗴. ❌ 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗖𝗼𝗱𝗲 𝗦𝗽𝗹𝗶𝘁𝘁𝗶𝗻𝗴 𝘪𝘮𝘱𝘰𝘳𝘵 𝘋𝘢𝘴𝘩𝘣𝘰𝘢𝘳𝘥 𝘧𝘳𝘰𝘮 "./𝘋𝘢𝘴𝘩𝘣𝘰𝘢𝘳𝘥"; 𝘪𝘮𝘱𝘰𝘳𝘵 𝘙𝘦𝘱𝘰𝘳𝘵𝘴 𝘧𝘳𝘰𝘮 "./𝘙𝘦𝘱𝘰𝘳𝘵𝘴"; 𝘪𝘮𝘱𝘰𝘳𝘵 𝘚𝘦𝘵𝘵𝘪𝘯𝘨𝘴 𝘧𝘳𝘰𝘮 "./𝘚𝘦𝘵𝘵𝘪𝘯𝘨𝘴"; All components load upfront — even if not used immediately. ❌ 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗖𝗼𝗱𝗲 𝗦𝗽𝗹𝗶𝘁𝘁𝗶𝗻𝗴 𝘪𝘮𝘱𝘰𝘳𝘵 { 𝘭𝘢𝘻𝘺, 𝘚𝘶𝘴𝘱𝘦𝘯𝘴𝘦 } 𝘧𝘳𝘰𝘮 "𝘳𝘦𝘢𝘤𝘵"; 𝘤𝘰𝘯𝘴𝘵 𝘋𝘢𝘴𝘩𝘣𝘰𝘢𝘳𝘥 = 𝘭𝘢𝘻𝘺(() => 𝘪𝘮𝘱𝘰𝘳𝘵("./𝘋𝘢𝘴𝘩𝘣𝘰𝘢𝘳𝘥")); 𝘤𝘰𝘯𝘴𝘵 𝘙𝘦𝘱𝘰𝘳𝘵𝘴 = 𝘭𝘢𝘻𝘺(() => 𝘪𝘮𝘱𝘰𝘳𝘵("./𝘙𝘦𝘱𝘰𝘳𝘵𝘴")); 𝘧𝘶𝘯𝘤𝘵𝘪𝘰𝘯 𝘈𝘱𝘱() {   𝘳𝘦𝘵𝘶𝘳𝘯 (     <𝘚𝘶𝘴𝘱𝘦𝘯𝘴𝘦 𝘧𝘢𝘭𝘭𝘣𝘢𝘤𝘬={<𝘱>𝘓𝘰𝘢𝘥𝘪𝘯𝘨...</𝘱>}>       <𝘋𝘢𝘴𝘩𝘣𝘰𝘢𝘳𝘥 />       <𝘙𝘦𝘱𝘰𝘳𝘵𝘴 />     </𝘚𝘶𝘴𝘱𝘦𝘯𝘴𝘦>   ); } Now components load 𝗼𝗻𝗹𝘆 𝘄𝗵𝗲𝗻 𝗻𝗲𝗲𝗱𝗲𝗱. 📌 Where this helps most: • large dashboards • admin panels • multi-page apps • heavy third-party libraries 📌 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀: • faster initial load • reduced bundle size • better performance • improved user experience 📌 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀: • split at route level • avoid over-splitting • use meaningful fallbacks • monitor bundle size Loading everything at once works — but splitting wisely improves performance significantly. 💬 Curious — do you apply code splitting at route level or component level? #ReactJS #CodeSplitting #Performance #FrontendDevelopment #JavaScript #WebDevelopment #SoftwareEngineering #Optimization

🚀 Stop Dumping Everything in /src: The Blueprint for Production-Ready Frontend We've all been there: a project starts small, and suddenly your src folder is a graveyard of 50+ files with no clear home. The secret to a maintainable codebase isn't just the code you write-it's where you put it. A standardized folder structure like the one in this image is a gift to your future self (and your teammates). Why this specific setup works: 📂 api & services: Separation of concerns. Your api folder handles the raw Axios/Fetch calls, while services handles the logic of how that data is transformed for your Ul. 📂 components (ui vs. layout): Distinguishing between atomic Ul elements (buttons, inputs) and structural layouts (navbars, footers) makes finding components 10x faster. 📂 hooks & utils: If logic is used more than once, extract it. Custom hooks keep your components lean and focused on the view. 📂 context & redux: Clear boundaries for state management. Use context for global themes/auth and redux (or Zustand) for complex, data-heavy state. The "Scale" Test: Ask yourself: "If a new developer joined the team today, could they find the login API call in under 10 seconds?" If the answer is no, it might be time for a refactor. The Bottom Line: You don't build a house without a blueprint. Don't build an enterprise app without a structured directory. What does your "gold standard" frontend folder structure look like? Do you prefer "feature-based" folders or "type-based" ones? Let's debate in the comments! 👇 #webdevelopment #ReactJS #FrontendDevelooment #API #FullstackDevelopment

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

🚀 Custom Hooks in React — Write Once, Reuse Everywhere As your React app grows… 👉 Logic starts repeating 👉 Components become messy 👉 Code becomes harder to maintain That’s where Custom Hooks come in. 💡 What are Custom Hooks? Custom Hooks are reusable functions that let you extract and share logic between components. 👉 Just like built-in hooks—but created by you ⚙️ Basic Example function useCounter() { const [count, setCount] = useState(0); const increment = () => setCount(c => c + 1); return { count, increment }; } 👉 Use it anywhere: const { count, increment } = useCounter(); 🧠 How it works ✔ Uses existing hooks (useState, useEffect, etc.) ✔ Encapsulates logic ✔ Returns reusable values/functions 🧩 Real-world use cases ✔ API fetching logic (useFetch) ✔ Form handling (useForm) ✔ Debouncing inputs (useDebounce) ✔ Authentication logic (useAuth) 🔥 Why Custom Hooks Matter 👉 Without them: ❌ Duplicate logic across components ❌ Hard to maintain code 👉 With them: ✅ Clean components ✅ Reusable logic ✅ Better scalability 🔥 Best Practices (Most developers miss this!) ✅ Prefix with “use” (important for React rules) ✅ Keep hooks focused on one responsibility ✅ Avoid tightly coupling with UI ❌ Don’t over-abstract too early ⚠️ Common Mistake // ❌ Mixing UI + logic function useData() { return <div>Data</div>; } 👉 Hooks should return data/logic—not JSX 💬 Pro Insight (Senior Thinking) 👉 Components = UI 👉 Hooks = Logic 👉 Clean separation = scalable architecture 📌 Save this post & follow for more deep frontend insights! 📅 Day 18/100 #ReactJS #FrontendDevelopment #JavaScript #ReactHooks #CodeQuality #SoftwareEngineering #100DaysOfCode 🚀

⚛️ 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

Are unnecessary re-renders slowing down your React application? We all know the frustration of a laggy UI, but often the solution is hidden within simple optimization techniques we are already using just not effectively. I’ve put together a visualization that simplifies three of the most powerful strategies for optimizing React performance. Here is the quick breakdown: 1. Code Splitting: How React.lazy and Suspense can drastically improve initial load times by loading code only when it's absolutely necessary. 2. The Re-render Problem: Understanding that non-primitive data types (objects/functions) are assigned new memory addresses on every render the main culprit of expensive recalculations. 3. The Memoization Toolkit: A side-by-side comparison of when to deploy React.memo, useCallback, and useMemo to cache components, functions, and heavy calculation values. A little optimization can go a long way toward a smoother user experience. Save this guide for your next optimization sprint! 👇 How do you approach performance tuning in your React projects? Are you using useMemo sparingly, or is it your go-to optimization tool? Let’s share some best practices below. #ReactJS #WebDevelopment #FrontendEngineering #PerformanceOptimization #JavaScript #SoftwareEngineering

📘 How React Re-renders Work (and How to Avoid Unnecessary Re-renders) 🔹 What is a Re-render? A re-render happens when React updates a component and reflects changes in the UI. This usually occurs when: ✔ State changes (useState) ✔ Props change ✔ Parent component re-renders 🔹Example const [count, setCount] = useState(0); <button onClick={() => setCount(count + 1)}>   Click Me </button> 👉 Every time count updates → component re-renders 🔹 Important When a component re-renders: 👉 All its child components also re-render (by default) Even if their data hasn’t changed ⚠️ 🔹 Real Problem Unnecessary re-renders can: ❌ Slow down performance ❌ Cause lag in large applications ❌ Trigger unwanted API calls 🔹 How to Avoid Unnecessary Re-renders ✅ 1. Use React.memo export default React.memo(MyComponent); Prevents re-render if props haven’t changed. ✅ 2. Use useCallback for functions const handleClick = useCallback(() => {   doSomething(); }, []); Prevents function recreation on every render. ✅ 3. Use useMemo for expensive calculations const result = useMemo(() => computeValue(data), [data]); Avoids recalculating values unnecessarily. ✅ 4. Keep State Minimal Only store what is necessary. Too much state = more re-renders. 🔹 Real-World Insight In large apps (dashboards, tables, filters): 👉 Poor render optimization can impact user experience heavily. Small optimizations here make a big difference. 👉 Re-renders are not bad—but unnecessary re-renders are. #ReactJS #FrontendDevelopment #Performance #JavaScript #WebDevelopment