Riddhesh Mali’s Post

#Day23 Node.js feels fast. But today I learned, it’s not always because it is fast. It’s because it doesn’t keep you waiting. Here’s the difference: Most systems handle tasks one by one. Node.js doesn’t wait around. => It starts a task (like reading a file) => Moves on immediately => Comes back only when the result is ready So instead of doing things faster, it avoids being idle. That’s why: - Multiple users can hit your server at once - Large operations don’t freeze your app - Everything feels smooth, even under load I stopped asking “How fast is this running?” and started asking “Is anything being blocked?” Because in backend development, efficiency isn’t just speed, it’s flow. Same language. Smarter performance thinking. #NodeJS #JavaScript #BackendDevelopment #Performance #LearningToCode #M4ACELearningChallenge

🚀 Quick question for backend devs… Has your Node.js app ever worked perfectly… and then suddenly slowed down under real traffic? Yeah, same here. Let me share something that took me time to truly understand 👇 👉 Node.js is NOT magically parallel. Even if you're using async/await… your CPU-heavy code can still block everything. 💥 Example: A heavy loop or data processing task → blocks the event loop → all requests get delayed 💡 What I do now: ✔ Move heavy tasks to worker threads ✔ Use queues for background jobs ✔ Keep request handlers lightweight ⚡ Lesson learned: “Async doesn’t mean scalable.” If your app slows down under load, don’t just check your APIs… check your CPU usage. Have you ever faced this in production? #nodejs #backend #performance #scalability #javascript #webdevelopment #softwareengineering

𝗛𝗼𝘄 𝗱𝗼 𝘆𝗼𝘂 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 𝗮 𝗗𝗲𝘃𝗠𝗮𝘁𝗰𝗵 𝗳𝗿𝗼𝗺 𝘀𝗰𝗿𝗮𝘁𝗰𝗵? 𝗛𝗲𝗿𝗲 𝗶𝘀 𝘁𝗵𝗲 𝗯𝗹𝘂𝗲𝗽𝗿𝗶𝗻𝘁 𝗳𝗼𝗿 𝗗𝗲𝘃𝗠𝗮𝘁𝗰𝗵. When planning a heavily interactive mobile-first app, your tech stack dictates your user experience. I needed a stack that could handle complex animations on the frontend and instant bidirectional communication on the backend. 𝗧𝗵𝗲 𝗩𝗶𝘀𝘂𝗮𝗹𝘀: I chose Tailwind combined with Framer Motion. Framer Motion handles the complex spring physics of dragging and rotating cards without bogging down the DOM. 𝗧𝗵𝗲 𝗕𝗿𝗮𝗶𝗻𝘀: React with Redux Toolkit. Keeping the "Feed" state completely separate from the "Matches" state is crucial for instant UI updates. 𝗧𝗵𝗲 𝗘𝗻𝗴𝗶𝗻𝗲: Node.js + MongoDB. Fast, JSON-native, and perfect for handling massive arrays of user data. 𝗧𝗵𝗲 𝗣𝘂𝗹𝘀𝗲: Socket.io. Polling a database for new messages is a cardinal sin in 2026. WebSockets keep the chat instantly synced. 𝙏𝙖𝙠𝙚𝙖𝙬𝙖𝙮: 𝘗𝘪𝘤𝘬 𝘵𝘰𝘰𝘭𝘴 𝘵𝘩𝘢𝘵 𝘴𝘰𝘭𝘷𝘦 𝘺𝘰𝘶𝘳 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘜𝘟 𝘳𝘦𝘲𝘶𝘪𝘳𝘦𝘮𝘦𝘯𝘵𝘴, 𝘯𝘰𝘵 𝘫𝘶𝘴𝘵 𝘸𝘩𝘢𝘵'𝘴 𝘵𝘳𝘦𝘯𝘥𝘪𝘯𝘨. Thanks to Akshay Saini 🚀 #ReactJS #NodeJS #SystemDesign #BuildInPublic

Redux vs Zustand — still debating in 2025? Both are great, but they solve different problems. Redux shines when you need strict patterns, powerful DevTools, and time-travel debugging for large teams and complex apps. Zustand wins when you want to ship fast — minimal boilerplate, no providers, and a hook-based API that just feels right. My take: start with Zustand. Migrate to Redux only if your app grows into needing it. What's your go-to for state management? Drop it in the comments 👇 #ReactJS #Redux #Zustand #Frontend #WebDev #JavaScript #StateManagement

🚀 How I eliminated redundant API calls in React (and improved performance) One common issue in React applications is unnecessary API calls, which can slow down the UI and increase backend load — especially in large-scale apps. Here’s what worked for me: ✅ Used a centralized data fetching strategy to fetch once and reuse across components ✅ Leveraged React Query / Redux / Context as a single source of truth ✅ Enabled caching and request deduplication to avoid repeated API calls ✅ Added conditional fetching (only call APIs when needed) ✅ Decoupled data fetching from UI components for better scalability 📈 Results: • Reduced redundant network requests • Faster page load times • Improved UI responsiveness • Better performance in data-heavy applications 💡 Key takeaway: Performance optimization isn’t just about rendering — it’s about how efficiently your application fetches and manages data. What strategies have you used to optimize API calls in React apps? #React #Frontend #WebDevelopment #Performance #JavaScript #NextJS

The biggest mistake I still see in React codebases in 2026? Treating the client like it's the whole app. Here's what I mean: Most developers default to client-side everything - fetching data in useEffect, managing server state with complex client stores, and shipping massive JS bundles to the browser. But the architecture has shifted. With Next.js App Router and React Server Components, the mental model is different: → Fetch data where it lives - on the server → Push interactivity to the edges - only where users need it → Let the framework handle the boundary between server and client The result? Smaller bundles. Faster TTI. Simpler code. Fewer bugs from stale state. The developers who thrive in 2026 aren't the ones who know the most hooks. They're the ones who know when NOT to use them. If you're still writing useEffect for every API call, it might be time to rethink your architecture. What's the biggest architectural shift you've made in your React projects this year? #React #NextJS #TypeScript #WebDevelopment #FullStack #SoftwareEngineering

React developers often learn components first—but routing is what makes apps scalable. I’ve published a complete React Router Guide covering: • Clean navigation architecture • Nested dashboard routes • Protected auth pages • Code splitting & performance • Real-world SaaS examples Ideal for developers building production-grade React apps. Read on wdnd.org https://lnkd.in/dBrCVja8 #React #Frontend #JavaScript #SoftwareEngineering #WebDevelopment

8.2 seconds to 1.1 seconds. Same app. Same data. Same backend. No infrastructure changes. No new framework. Just better engineering decisions. Here is exactly what we did. Code splitting with React.lazy and Suspense. We stopped shipping every route on the first load. You only get what you need, when you need it. List virtualization. We were rendering 500 DOM nodes when 10 were visible. react-window fixed that in an afternoon. Memoization audit. We profiled with React DevTools first, then applied useMemo, useCallback, and React.memo where they actually helped. Not everywhere. State co-location. Context was triggering global re-renders we did not even know about. Moving state closer to where it was used cut unnecessary renders by 60 percent. Library replacement. We swapped Moment.js for the Intl API and cut lodash for native array methods. 80KB gone overnight. Performance is not a backlog item. It is respect for your users time. Which of these have you used on a recent project? #ReactJS #WebPerformance #FrontendDevelopment #JavaScript

Why I’m "Retiring" Redux for Zustand in 2026. If you’re still using Redux for every small React project, you’re essentially using a sledgehammer to crack a nut. 🔨 In 2026, speed and simplicity are the only currencies that matter in Frontend Development. That’s why Zustand has become my go-to for state management in React and Next.js. Why Zustand is the "Winner" for Modern Devs: 1. Zero Boilerplate ⚡ Remember writing Actions, Reducers, and Constants just to update a username? With Zustand, you create a store in 5 lines of code. No "Providers" wrapping your entire app. No complex setup. 2. Performance by Default (Selective Updates) 🏎️ The biggest flaw of the Context API? When one value changes, every component consuming that context re-renders. Zustand uses Selectors. Your component only re-renders if the specific piece of state it’s watching changes. 3. Works Outside of React 🌍 Need to access your state in a utility function or a vanilla JS file? You can. Since Zustand isn't tied to the React lifecycle, you can read/write state anywhere in your codebase. 4. Perfect for Next.js (Client Components) 🛠️ In the world of App Router and Server Components, Zustand shines as the "Client State" king. It’s lightweight (approx. 1KB) and doesn’t bloat your bundle. 5. DevTools Support 🛠️ You don't lose the "Redux DevTools" experience. Zustand supports Redux DevTools out of the box, so you can still time-travel through your state changes. The Verdict: Redux is great for massive, legacy enterprise apps. But for 90% of modern SaaS products? Zustand is faster, cleaner, and easier to maintain. Are you still a Redux loyalist, or have you caught the "Zustand" wave? Let’s debate in the comments! 👇 #ReactJS #NextJS #Zustand #WebDevelopment #StateManagement #JavaScript #FrontendArchitecture #CleanCode #SoftwareEngineering #TechTrends2026

Full-stack TypeScript with tRPC is one of those stacks that just clicks. You define your backend procedures once, and your frontend gets fully inferred types automatically — no manual API contracts, no duplicated types, no guessing what the server returns. Why it matters: - End-to-end type safety - Faster development with better autocomplete - Fewer runtime surprises - Cleaner DX across frontend and backend - Easier refactors as your app grows tRPC feels especially powerful when paired with a modern TypeScript stack like: - Next.js - Prisma - Zod - React Query / TanStack Query The result: a workflow where your API layer becomes simpler, safer, and much more enjoyable to build with. If you’re already all-in on TypeScript, tRPC is worth a serious look. What’s your go-to stack for type-safe full-stack apps? #TypeScript #tRPC #FullStack #WebDevelopment #DX #NextJS #Prisma #SoftwareEngineering #WebDevelopment #TypeScript #Frontend #JavaScript