Server Components in React is game changer . the old way: > client fetches data > calls API endpoint > renders UI the new way: t > server fetches data > renders component > sends HTML to client why it matters: > no API layer needed > data stays on server > smaller bundles > faster page loads server components fetch data. client components handle interactions. that's it. #React #Performance #JavaScript #WebDevelopment #FrontendTips
Server Components in React Boost Performance
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🚀 30 Days of JavaScript – Day 21 Today I explored how applications communicate with servers. 💡 Project: Fetching Data from API This project loads user data from an external API and displays it dynamically. 🧠 Concepts Used: i) fetch API ii) async/await iii) JSON data handling iv) DOM rendering 📌 This helped me understand how frontend applications interact with backend services. 🎥 Demo below 👇 Full source code in the First comments. #JavaScript #WebDevelopment #API #FrontendDevelopment #LearningJavaScript
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Recently, I explored some Nextjs advanced concepts: 🔹Data Fetching Flow 🔹Server Components Data Fetching 🔹Cache & Revalidating (ISR, SSG) 🔹Dynamic Data Handling (no-store) 🔹Generate Static Params Understanding how data flows and caching works in Next.js. I exited to apply these concepts in real projects! #NextJs #ReactJs #Javascript #webDevelopment
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𝗪𝗵𝗲𝗻 𝗦𝗦𝗥 𝗕𝗿𝗲𝗮𝗸𝘀: 𝗡𝗲𝘅𝘁.𝗷𝘀 𝗥𝗲𝘁𝘂𝗿𝗻𝘀 𝗥𝗦𝗖 I found a production site built with React and Next.js. One route did not return HTML. It returned the raw React Server Component payload. The server streamed internal rendering data. It failed to send a full page. This suggests a few issues: - Config errors. - Routing bugs. - Version mismatches. This is not a direct exploit. It is information disclosure. It exposes framework internals. It signals gaps in deployment. The server and client boundary is thin in Next.js. Have you seen these leaks in production? Source: https://lnkd.in/gjc5HtdG
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🚀 𝗙𝗶𝗿𝘀𝘁 𝗦𝘁𝗲𝗽 𝘄𝗶𝘁𝗵 𝗔𝗣𝗜𝘀 🎯 Features: - Built a simple weather feature that shows the weather for today, tomorrow, and the next day - Used Fetch API to get data from the API - Learned how to handle requests and display real-time data - Improved my understanding of how frontend connects with backend 🔗 Project Demo: https://lnkd.in/dZYTMv9W ⚡ Source Code: https://lnkd.in/d_Q6KCBC ✨ This project helped me understand how APIs work in real applications and how data can be fetched and displayed dynamically on a web page. #JavaScript #APIs #Fetch #FrontendDevelopment #WebDevelopment
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Everyone says "JavaScript is async" — but how does it actually work under the hood? The Event Loop runs in a cycle through 4 phases: ⏰ Timer → runs setTimeout & setInterval callbacks 📥 Poll → handles I/O (file reading, network, database) ✅ Check → runs setImmediate callbacks 🚪 Close → cleanup callbacks (socket.close etc.) But here's the part most people miss 👇 Inside this big cycle, there's a smaller inner cycle that runs between EVERY phase: process.nextTick() — runs first, empties completely Promise callbacks — runs second, empties completely
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Most form validation bugs I've seen in production weren't in the frontend. They were on the server, where nobody was actually validating anything. Here's a pattern I use in every Next.js project now: pair Server Actions with Zod for full-stack, type-safe validation in one place, zero duplication. The idea is simple. Define your Zod schema once. Use it directly inside the Server Action. If validation fails, return typed errors back to the client. If it passes, proceed to your database layer. TypeScript types flow end-to-end without any manual sync between client and server schemas. No separate API route. No duplicated logic. No guessing what shape your errors will be in. This pattern shines especially with Supabase and Prisma, define the schema once, validate at the boundary, and fully trust the data that reaches your ORM. Sounds obvious. But I've seen too many Next.js codebases where the client validates, the server trusts, and production catches the gap. What's your go-to pattern for server-side validation in Next.js? #nextjs #typescript #fullstackdev #webdevelopment
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7 Next.js features I wish I knew earlier: Image component — automatic optimization, zero effort Dynamic imports — load heavy components only when needed Middleware — intercept requests before they hit your page Server components — fetch data without useEffect chaos Parallel routes — render multiple pages simultaneously Route handlers — bye bye separate backend for simple APIs Built-in analytics — performance insights out of the box I was writing 3x more code before I discovered half of these. Which one changed your Next.js game the most? #Nextjs #ReactJS #WebPerformance #FrontendTips #JavaScript
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𝗜 𝗨𝗽𝗴𝗿𝗮𝗱𝗲𝗱 𝗠𝗬 𝗣𝗼𝗿𝗧𝗳𝗼𝗹𝗶𝗼 𝗙𝗿𝗼𝗺 𝗡𝗲𝘅𝘁.𝗷𝘀 𝟭𝟰 𝗧𝗼 𝟭𝟲 I upgraded my portfolio from Next.js 14 to 16. Here's what I learned: - Upgrading Next.js is not as scary as it seems. - It's a series of small steps. I started with Next.js 14 and upgraded to 15 first. Then I went to 16. - I updated my React dependencies. - I cleared my build cache. Next.js 16 has some big changes: - Turbopack is now the default bundler. It's faster. - React 19 support is better. - Image optimization is improved. - TypeScript integration is better. I had some issues with deprecated middleware. - I kept my middleware file intact. - I updated next-intl to the latest version. When adding new libraries, check their peer dependencies. - I added recharts for data visualization. - I had to install react-is as a peer dependency. Here's what you should do when upgrading: - Commit your current work - Document your current version - Check all test files pass - Review the official Next.js upgrade guide - Upgrade incrementally - Update React dependencies - Clear build cache - Run npm run build - Test all major routes - Check console for deprecation warnings My project's performance improved: - Dev build time is
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Your Node.js API can be slow… Even if your database is fast. Here’s why 👇 Node.js runs on a single thread. So when you do: → Heavy computation → Large loops → Sync operations You block: ❌ All incoming requests Real-world impact: → Slow APIs under load → Increased latency → Poor scalability What works: ✔ Use async/non-blocking operations ✔ Offload heavy tasks (workers/queues) ✔ Keep request handlers lightweight Key insight: In Node.js: Blocking code = blocking server #NodeJS #Backend #Performance #JavaScript #SoftwareEngineering #SystemDesign #Engineering #WebDevelopment #ScalableSystems
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𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁 𝗘𝘃𝗲𝗻𝘁 𝗟𝗼𝗼𝗽 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗲𝗱 JS runs one thing at a time. This is single-threading. Long tasks freeze your screen. The event loop manages async code. It connects these parts: - Call stack: Where code runs. - Web APIs: Browser tools like timers. - Task queues: Where callbacks wait. The order is strict: - Call stack finishes first. - Microtasks run second. - Macrotasks run last. Example: 1. Start runs first. 2. setTimeout moves to the task queue. 3. Promise moves to the microtask queue. 4. End runs fourth. Result: Start, End, Promise, Timeout. A zero-millisecond timer does not run now. It waits for the stack to empty. It waits for microtasks to finish. This fixes weird bugs in your code. Source: https://lnkd.in/gjBYnFZB
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React Server Components are indeed a game changer. I really like how they allow us to build dynamic applications by leveraging the server more directly, without relying so much on route files or API routes like we used to in the Pages Router.