Unlock Modern React with New Hooks

⚛️ What are Hooks in React? Hooks are functions that let you use React features like state, lifecycle, and context inside functional components—without writing class components. Before Hooks, state and lifecycle logic were only possible in class components. Hooks made functional components more powerful, cleaner, and reusable. Common Hooks: useState → Manage component state useEffect → Handle side effects (API calls, subscriptions) useContext → Access context easily useRef → Access DOM elements or persist values useMemo / useCallback → Performance optimization ✅ Cleaner and more readable code ✅ Reusable logic via custom hooks ✅ No need for class components Hooks are one of the biggest reasons modern React apps are simpler, faster, and easier to maintain. #React #Hooks #JavaScript #UI #FrontendDevelopment #ReactJS

⚛️ React.memo vs Normal Components — When Does It Actually Matter? Not every React component needs optimization. But knowing when to use React.memo can save your app from unnecessary re-renders. Let’s break it down simply 👇 🔹 Normal React Components By default, React components re-render whenever their parent re-renders. That’s not a problem. In fact, for most small and fast components, this behavior is totally fine. ✅ Best for: Simple UI components Components that always change with their parent When performance is already good 🔹 React.memo Components React.memo remembers the rendered output of a component. If the props don’t change, React skips the re-render — even if the parent updates. This is useful, but only in the right places. ✅ Best for: Pure components (output depends only on props) Components that re-render frequently with the same props Performance-sensitive UI (lists, dashboards, tables) ⚡ The Real Difference Normal component → Re-renders by default React.memo → Re-renders only when props change Simple as that. ⚠️ Important Reminder React.memo is not a magic performance fix. Using it everywhere can: Add unnecessary complexity Increase memory usage Make debugging harder Optimize only when you see a real problem. 💡 Final Thought Good React performance is not about stopping re-renders. It’s about letting the right components re-render at the right time. 🔖 Hashtags #ReactJS #FrontendDevelopment #JavaScript #ReactMemo #WebPerformance #FrontendEngineer #CleanCode #ReactTips

🚀 Day 1 of sharing daily dev learnings Today’s topic: React Performance ⚡ Problem: My page was re-rendering too many times. Even small state changes were slowing the UI. Mistake: I was recalculating heavy data on every render. Fix: Used useMemo to memoize derived values. Example: const filtered = useMemo(() => { return users.filter(u => u.active) }, [users]) Result: ✅ Faster renders ✅ Smoother UI ✅ Cleaner logic Lesson: Don’t optimize everything. Optimize expensive computations only. Small React improvements like this make a BIG difference in production apps. What’s one React optimization you use often? 👇 #ReactJS #Frontend #WebDevelopment #JavaScript #100DaysOfCode

In early days of development, I once built a simple React dashboard - just filters and a list - and a single checkbox caused 127 re-renders. My laptop fan sounded like a jet taking off 😄. That’s when I realized something important: "React isn’t slow - my understanding of it was" The app worked fine with 10 items - but with 100, scrolling felt like molasses. Why? Because React will re-render anything that looks “different” - even when it shouldn’t matter. Here are the real culprits I found: 🔹 New objects in render Passing freshly created objects makes React think something changed - even if it didn’t. 🔹 Inline functions Every arrow function in JSX creates a new reference - and that triggers re-renders everywhere. 🔹 One big context object If a context contains everything, changing anything re-renders everything. 🔹 State updates in loops Updating state inside a loop can literally trigger 100 re-renders in one effect. 🔹 Not memoizing expensive components React.memo isn’t always the answer - but in the right places, it stops needless work. But here’s the bigger lesson: 👉 Re-renders only matter when rendering is expensive. Measure first. Optimize second. React DevTools Profiler isn’t optional - it’s the difference between guessing and knowing what’s slowing you down. If you build large React apps and want smoother performance without premature optimization, I broke this down in detail. 🔗 Medium Link in the first comment 👇 #codewithsaad #appzivo #ReactJS #FrontendDevelopment #WebPerformance #JavaScript #SoftwareEngineering #TechLeadership #ProductThinking #ReactProfiler

If you’ve ever tried to use createPortal in React Native, you probably ran into challenges. On the web, it’s the standard way to render children into a different part of the DOM, but in React Native? It’s been a missing piece of the puzzle for years, forcing us to rely on workarounds like @gorhom/portal or the 𝗿𝗲𝗮𝗰𝘁-𝗻𝗮𝘁𝗶𝘃𝗲-𝘁𝗲𝗹𝗲𝗽𝗼𝗿𝘁 library we recently talked about. But things are changing. 𝗥𝗲𝗮𝗰𝘁 𝗡𝗮𝘁𝗶𝘃𝗲 𝗣𝗥 #𝟱𝟱𝟰𝟲𝟯 just dropped: experimental support for 𝗥𝗲𝗮𝗰𝘁 𝗣𝗼𝗿𝘁𝗮𝗹𝘀 𝗶𝗻 𝗙𝗮𝗯𝗿𝗶𝗰. 𝗪𝗵𝗮𝘁’𝘀 𝗵𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴? Historically, portals were "DOM magic." Since React Native doesn't have a DOM, the architecture didn't quite know how to handle them. This PR leverages the 𝗡𝗲𝘄 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 (Fabric) to intercept shadow tree commits and manually mount portal children into the native view hierarchy. It’s essentially teaching the Fabric renderer how to handle createPortal natively. ➡️ 𝗧𝗿𝘂𝗲 𝗥𝗲𝗮𝗰𝘁 𝗣𝗮𝗿𝗶𝘁𝘆: You can finally write code that looks and behaves like standard React, making cross-platform (Web/Mobile) components much easier to maintain. ➡️ 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗲𝘀𝗲𝗿𝘃𝗮𝘁𝗶𝗼𝗻: Unlike some current JS-heavy hacks, this approach is designed to keep React context and event bubbling intact. ➡️ 𝗟𝗲𝗮𝗻𝗲𝗿 𝗔𝗽𝗽𝘀: If this makes it into core, we can stop installing third-party libraries just to show a simple tooltip or modal. We literally just shared how 𝗿𝗲𝗮𝗰𝘁-𝗻𝗮𝘁𝗶𝘃𝗲-𝘁𝗲𝗹𝗲𝗽𝗼𝗿𝘁 is the best way to handle this right now. If this PR lands in a stable release, it might eventually make those specialised libraries obsolete. That’s the nature of the ecosystem—today's essential library becomes tomorrow's built-in feature. Before you go deleting your third-party libraries, keep in mind: 𝘁𝗵𝗶𝘀 𝗶𝘀 𝘀𝘁𝗶𝗹𝗹 𝗶𝗻 𝘁𝗵𝗲 𝗣𝘂𝗹𝗹 𝗥𝗲𝗾𝘂𝗲𝘀𝘁 𝘀𝘁𝗮𝗴𝗲. It’s highly experimental and involves changes to the core React renderer files. #ReactNative #Fabric #ReactJS #Portals #OpenSource #MobileDev #JavaScript #TypeScript #SoftwareEngineering #DevTools #Meta

🚀 Lazy Loading in React.js: A Simple Optimisation That Makes a Huge Difference As React applications scale, performance becomes a critical concern. One of the most effective, yet often overlooked, optimisations is lazy loading ⚡ In many React apps, we unintentionally ship all route components in the initial bundle 📦 Even when the user lands only on the Home page, pages like About, Services, and Contact are already downloaded. This increases load time, delays interactivity, and impacts user experience — especially on slower networks 🌐 In this small demo, I implemented route-based lazy loading using React.lazy() and Suspense. 🔍 What changed after lazy loading? On initial load (/), only Home.jsx is downloaded Other files are downloaded only when the user navigated to them Using React.lazy() and Suspense, we can 👇 🔹 Split route components into separate JS chunks 🔹 Reduce initial bundle size 🔹 Improve performance metrics like TTI and LCP 🔹 Deliver a smoother, faster user experience ✨ This approach is especially powerful for: ✅ Route-based pages ✅ Large dashboards ✅ Feature-heavy admin panels ✅ Heavy libraries like charts or editors 📊 That said, lazy loading should be used thoughtfully 🧠 Lazy loading critical or above-the-fold UI can backfire. Like most optimisations, balance is key ⚖️ If you’re building scalable React or Next.js applications, mastering route-based lazy loading is a must 💡 Happy coding 🚀👨💻👩💻 #ReactJS #LazyLoading #CodeSplitting #WebPerformance #FrontendDevelopment #JavaScript #NextJS #MERNStack #SoftwareEngineering #WebDevelopment

“Your React app is slow because of too many re-renders.” Often true… and often the wrong diagnosis. 🧠⚛️ Myth: re-renders are inherently bad. Reality: React re-rendering is cheap; expensive work inside renders is not. The UI gets slow when renders trigger heavy computations, layout thrash, or large component trees doing real work. What I see in production: 1) Unstable props cause cascading updates Inline objects/functions create new references → memo breaks → more work. Use useCallback/useMemo only where it reduces churn, not by default. 🔁 2) “Memo everywhere” backfires React.memo adds comparison overhead and hides data flow issues. If props change every time, memo is noise. 🧩 3) The real killers: effects + fetching + parsing Extra useEffect loops, derived state, and client-side heavy transforms. Move compute to selectors, server, or workers. 🧰 4) Measure, don’t guess React DevTools Profiler + why-did-you-render (selectively) will tell you if the bottleneck is render, commit, or JS work. 📈 Practical takeaway: optimize references and data flow first, then isolate expensive components, then memo strategically. Where have you seen “re-render panic” hide the actual root cause? 👇 #react #javascript #frontend #performance #nextjs

⚡ Alpine.js is the anti-React. And that’s the point. React is a framework for applications. Alpine is a framework for HTML. Here’s the naked truth about Alpine vs React in 2026: 🚀 The Game Changers (Pros) 1. “Sprinkles, Not a Cake” Architecture Alpine adds interactivity directly in markup with x-data, x-show, x-on. Result: keep server-rendered HTML, ship interactive bits without turning everything into a SPA. 2. Faster Start, Smaller Payload Alpine is ~15KB. A functional React setup often starts at 100KB+ (router, state, DOM). Result: Better initial load and Time-to-Interactive for marketing pages and simple widgets. Result: better initial load + time-to-interactive for marketing pages, docs, and small UI widgets. 3. Zero Ceremony No JSX, no hooks rules, no required bundler. CDN and go. Result: simple UI work (modals, tabs, dropdowns) stops being a “mini React project.” ⚠️ The Dealbreakers (Cons) 1. It Doesn’t Scale Into a Product UI Logic inside HTML attributes becomes "Spaghetti code" fast. Result: Maintainability drops off a cliff once you have complex flows or shared state. 2. Ecosystem Gap Is Real React has mature routers, state tooling, UI kits, and enterprise-grade components. Result: in Alpine you’ll hit “build it yourself” much sooner. 3. Big Updates Can Hurt Alpine works on the real DOM directly, simple and great for small interactions. Result: frequent, large-scale UI updates can become less efficient than React’s approach in large dynamic apps. 💡 The Verdict Use Alpine when you’re enhancing HTML. Use React when you’re building an app. 🔥 Hot take: React should be opt-in, not the default. 👇 What’s the smallest app where you still reach for React? And why? #javascript #typescript #alpinejs #react #performance #webdevelopment #frontend

🚀 Built a Live Clock App using React + TypeScript + Tailwind CSS This project displays real-time live time, date, day, month, and year, updating every second using React Hooks. Focused on clean UI, responsive design, and type-safe code with TypeScript. 💡 Tech Used: React ⚛️ | TypeScript 🟦 | Tailwind CSS 🎨 🔹 Real-time updates 🔹 Modern responsive UI 🔹 Clean & reusable component structure 🔗 Live Demo:https://lnkd.in/dtRtkvCb #React #TypeScript #TailwindCSS #Frontend #WebDevelopment #Portfolio #UAEJobs #JuniorDeveloper

React performance problems rarely come from large data or complex UI. They come from incorrect state flow. One of the most common mistakes: Using useEffect as “code that runs after render”. useEffect is not a lifecycle shortcut. It’s a side-effect synchronizer. A small dependency mistake can silently create: render → fetch → setState → render loops No errors. No warnings. Just slow apps. Production-ready React code follows simple rules: • One effect = one responsibility • Dependencies represent real triggers • Stable references matter more than clever logic Before writing a hook, ask: “What exact change should trigger this logic?” Good React code doesn’t look smart. It looks boringly predictable. That’s why it scales. #ReactJS #ReactHooks #FrontendEngineering #WebDevelopment #CleanCode #Performance