Faiziya Rahmat’s Post

𝗪𝗮𝗻𝘁 𝘁𝗼 𝗳𝗲𝘁𝗰𝗵 𝗱𝗮𝘁𝗮 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗯𝗹𝗼𝗰𝗸𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗨𝗜? 𝗧𝗿𝘆 𝗥𝗲𝗮𝗰𝘁 𝗦𝘂𝘀𝗽𝗲𝗻𝘀𝗲! Suspense lets you "wait" for async operations (like data fetching) without blocking the entire UI. No more loading spinners that freeze your app! How it works: → Wrap your async component with 𝗥𝗲𝗮𝗰𝘁.𝗦𝘂𝘀𝗽𝗲𝗻𝘀𝗲 → Use a "fallback" component (e.g., a spinner or skeleton screen) while data is loading → Once data is ready, React automatically swaps in the fully loaded component Benefits: • Improved user experience—only the relevant part of the UI waits for data • Cleaner code—no more manual loading states or conditional rendering • Seamless integration with React Query, SWR, or other data-fetching libraries Example: ``` <Suspense fallback={<Spinner />}> <AsyncComponent /> </Suspense> ``` Tip: Combine Suspense with 𝗥𝗲𝗮𝗰𝘁.𝗹𝗮𝘇𝘆 for even better performance. Load components only when they’re needed! 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀: • 𝗥𝗲𝗮𝗰𝘁 𝗱𝗼𝗰𝘀: https://lnkd.in/dUpifpQG • 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝘁𝘂𝘁𝗼𝗿𝗶𝗮𝗹𝘀 𝗼𝗻 𝗦𝘂𝘀𝗽𝗲𝗻𝘀𝗲 + 𝗱𝗮𝘁𝗮 𝗳𝗲𝘁𝗰𝗵𝗶𝗻𝗴 #ReactJS #Suspense #DataFetching #WebDevelopment #JavaScript #Frontend #ReactDev

𝐒𝐭𝐢𝐥𝐥 𝐮𝐬𝐢𝐧𝐠 𝐮𝐬𝐞𝐒𝐭𝐚𝐭𝐞 𝐚𝐧𝐝 𝐮𝐬𝐞𝐄𝐟𝐟𝐞𝐜𝐭 𝐭𝐨 𝐟𝐞𝐭𝐜𝐡 𝐝𝐚𝐭𝐚? 𝐘𝐨𝐮'𝐫𝐞 𝐝𝐨𝐢𝐧𝐠 𝐢𝐭 𝐭𝐡𝐞 𝐡𝐚𝐫𝐝 𝐰𝐚𝐲. Every React developer has written this code a hundred times: create loading state, create error state, create data state, useEffect with fetch, handle errors, add loading spinners, somehow manage cache, deal with race conditions... Fifty lines of boilerplate just to fetch a user profile. Then you need to refetch when the data changes. Or handle pagination. Or invalidate cache. Or retry failed requests. Or show stale data while refetching. Each feature adds more complexity until your component is 80% state management and 20% actual UI. 𝐓𝐚𝐧𝐒𝐭𝐚𝐜𝐤 𝐐𝐮𝐞𝐫𝐲 𝐞𝐥𝐢𝐦𝐢𝐧𝐚𝐭𝐞𝐬 𝐚𝐥𝐥 𝐨𝐟 𝐭𝐡𝐢𝐬. Instead of managing loading, error, and data states manually, you get: → Automatic caching and background refetching → Loading and error states built-in → Stale data strategies handled for you → Automatic retries on failed requests → Request deduplication out of the box → Optimistic updates made simple One hook replaces 50+ lines of boilerplate. Your components become readable again. Data fetching actually works the way users expect—fast, reliable, and smart. No more useState soup. No more useEffect dependency arrays breaking everything. No more manually tracking loading states across your app. Building React apps that fetch data? TanStack Query turns complex data fetching into one simple hook. 💬 𝐇𝐨𝐰 𝐝𝐨 𝐲𝐨𝐮 𝐡𝐚𝐧𝐝𝐥𝐞 𝐀𝐏𝐈 𝐜𝐚𝐥𝐥𝐬 𝐢𝐧 𝐑𝐞𝐚𝐜𝐭? 𝐒𝐭𝐢𝐥𝐥 𝐮𝐬𝐢𝐧𝐠 𝐮𝐬𝐞𝐄𝐟𝐟𝐞𝐜𝐭 𝐨𝐫 𝐬𝐰𝐢𝐭𝐜𝐡𝐞𝐝 𝐭𝐨 𝐚 𝐥𝐢𝐛𝐫𝐚𝐫𝐲? #ReactJS #TanStackQuery #ReactQuery #Frontend #JavaScript #TypeScript #WebDevelopment #StateManagement #Programming #DeveloperTools #NexaLabsagency

Stop trapping business logic in your components. It kills testability, reuse, and migrations. Symptoms • 500-line components with handlers doing auth, validation, uploads, DB writes • Tests that need a full tree + 10 mocks just to check one rule • Hooks full of pricing/eligibility math that don’t need React at all The 15-minute fix Extract a pure function for the use case (e.g., replyToShout(input, deps)). Inject dependencies (getUser, saveImage, createPost) instead of importing singletons. Keep the component thin: read form values, call the function, render states. Test the function with simple mocks—no DOM, no rendering. Reuse the same logic on web + React Native. Rules of thumb • If it doesn’t need state/effects/DOM, make it a pure function. • Hooks orchestrate, they don’t calculate core business rules. • Services handle I/O (API, storage, analytics) behind small interfaces. • Prefer plain objects in/out for serialization and boundaries. What you get Faster unit tests (milliseconds). Smaller components. Clear ownership by layer. Easy portability between frameworks. #ReactJS #ReactNative #CleanArchitecture #TypeScript #WebDevelopment #Testing

REST API vs GraphQL — What’s the Real Difference? When it comes to building modern backends, the debate between REST API and GraphQL is still going strong. Both have their place — but understanding their core differences helps you pick the right tool for your system’s needs. 🔹 REST API Organized around multiple endpoints (/users, /posts, /comments) Each request returns a fixed structure of data Easy to cache and integrate But… often leads to over-fetching (getting more data than you need) or under-fetching (missing data, requiring multiple requests) 🔹 GraphQL Single endpoint (/graphql) Client defines exactly what fields it needs Reduces over-fetching Great for complex UIs and mobile apps But… can be harder to cache and requires more complex setup & security handling 💡 My take: If your data model is simple and performance is key — REST is perfectly fine. If your frontend needs flexibility and nested data from multiple sources — GraphQL is a game changer. #NodeJS #GraphQL #RESTAPI #BackendDevelopment #WebDevelopment #JavaScript #TypeScript #APIDesign #SoftwareEngineering

Ever wanted to transform location inputs into rich, real-time weather data in your web application? 🤔 In our latest YouTube tutorial, we walk you through how to: ✅ Integrate the Weatherstack API with Node.js ✅ Build a backend + frontend connection for live weather updates ✅ Display temperature, humidity, wind, and UV data dynamically ✅ Visualize weather changes in real time 🎥 Watch the full tutorial on our YouTube channel: https://lnkd.in/g6KVPUmQ   🧠 Try the API for yourself: https://weatherstack.com Perfect for developers exploring API integration, Node.js, or data visualization! #NodeJS #WeatherAPI #WebDevelopment #JavaScript #APIintegration #apilayer #Weatherstack

🚀 Why TanStack Query (React Query) Is a Game-Changer for Modern React Apps In most React projects, API data isn’t just “data” — it’s the backbone of the whole user experience. But managing that data manually with useEffect, loading flags, caching logic, retries, and error handling can quickly become messy and repetitive. That’s exactly why TanStack Query exists. 🔥 Why Do We Need TanStack Query? Because React is great at managing UI state, but not server state. Server state is dynamic, shared, and constantly changing — and React Query handles all of it effortlessly. 🎯 What Problem Does It Solve? 🔹 Removes boilerplate around API calls 🔹 Automatically handles loading, caching, and refetching 🔹 Prevents unnecessary network requests 🔹 Keeps data fresh with background synchronization 🔹 Handles retries + errors out of the box 🔹 Makes pagination & infinite scrolling simple 🔹 Eliminates the need for global stores (Redux/Context) just for API data You focus on building features — React Query takes care of the rest. ⚡ The Purpose To make server-side data fast, reliable, and easy to manage — without writing tons of repetitive logic. It makes your React apps: ✔ Faster ✔ Cleaner ✔ More predictable ✔ Easier to scale If your application relies on real-time or frequently updated data, TanStack Query isn’t optional — it’s essential. 🔚 Final Thoughts Adopting React Query has consistently improved both my workflow and app performance. Less code. Fewer bugs. Better user experience. It’s one of those tools that instantly pays off. 🔖 Tags #ReactJS #TanStackQuery #ReactQuery #FrontendDevelopment #WebDevelopment #JavaScript #DeveloperTools #ReactEcosystem #Performance #CleanCode #SoftwareEngineering

🚀 REST vs GraphQL — A Small Change, Big Impact While working with a REST-based system in NestJS, I noticed something interesting: The UI felt slow — not because of the database, but because of overfetching. REST endpoints were sending everything — even when the client needed just a few fields. The result? Heavy payloads, slower renders, and wasted bandwidth. Then I added GraphQL. No database changes. No ORM overhaul. Just a smarter way for the frontend to say, “Give me only what I need.” ✅ Lighter responses ✅ Fewer network calls ✅ Faster perception of speed GraphQL doesn’t make your queries faster — it makes data delivery more efficient. Sometimes, optimization isn’t about rewriting logic — it’s about asking smarter questions to your data. #GraphQL #NestJS #WebDevelopment #Performance #Engineering #APIDesign

🧠 Deep Dive: Why useSyncExternalStore matters (even if you never use it directly) When React 18 introduced concurrent rendering, one subtle problem appeared: How can React safely read from an external store (like Redux, Zustand, or a custom event emitter) without tearing — where your UI shows inconsistent data between renders? That’s why React introduced useSyncExternalStore. It ensures React always reads a consistent snapshot of external state — even during concurrent updates. Here’s a minimal example 👇 import { useSyncExternalStore } from 'react'; const store = { value: 0, listeners: new Set(), subscribe: (l) => { store.listeners.add(l); return () => store.listeners.delete(l); }, getSnapshot: () => store.value, setValue: (v) => { store.value = v; store.listeners.forEach(l => l()); } }; function Counter() { const value = useSyncExternalStore(store.subscribe, store.getSnapshot); return <button onClick={() => store.setValue(value + 1)}>{value}</button>; } This tiny hook keeps React and your store in perfect sync — with no tearing, no stale data, and full concurrency safety. It’s also what modern state libraries like Zustand and Redux Toolkit use under the hood. Understanding this helps you design custom stores that play nicely with React’s concurrent architecture — a step closer to truly React-native data flow. #React #JavaScript #Frontend #WebDevelopment #ReactJS #Performance #useSyncExternalStore #ConcurrentRendering #StateManagement #CleanCode #SoftwareEngineering #React18

In order to master a wide range of modern web technologies, I’ve been working on a full-stack project — a Textile Factory Management System. It’s designed to improve factory operations from managing worker assignments, production lines, and products to generating real-time analytics and AI-powered insights to boost overall performance. 🔑 𝗞𝗲𝘆 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗖𝗵𝗮𝘁 𝗦𝘆𝘀𝘁𝗲𝗺: Built-in messaging with Socket.IO — single & group chats, typing indicators, file sharing, and instant notifications 𝗔𝗜-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀: Integrated Google Gemini to analyze performance data and generate intelligent recommendations 𝗦𝗺𝗮𝗿𝘁 𝗪𝗼𝗿𝗸𝗲𝗿 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Assign workers to production lines, manage schedules, and monitor performance data in real time 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: Track productivity and error rates with interactive dashboards and visualizations 𝗗𝗲𝘁𝗮𝗶𝗹𝗲𝗱 𝗔𝘂𝗱𝗶𝘁 𝗦𝘆𝘀𝘁𝗲𝗺: Log every activity with complete system-wide tracking 𝗠𝘂𝗹𝘁𝗶-𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗦𝘂𝗽𝗽𝗼𝗿𝘁: Full i18n with English and French 𝗦𝗲𝗰𝘂𝗿𝗲 𝗔𝘂𝘁𝗵𝗲𝗻𝘁𝗶𝗰𝗮𝘁𝗶𝗼𝗻: JWT + HTTP-only cookies, refresh tokens, session management (3 active sessions max), Google OAuth, and RBAC 𝗠𝗼𝗱𝗲𝗿𝗻 𝗨𝗜/𝗨𝗫: Responsive, dark mode, multiple themes, Framer Motion animations, built with shadcn template/components 🧩 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React 19, TypeScript, Tailwind CSS v4, Zustand, SWR, Axios, Recharts, React Hook Form + Zod 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: Node.js, Express.js, Prisma ORM, PostgreSQL, Socket.IO, Google Gemini AI, Cloudinary 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲: Helmet, Rate Limiting, Compression, Session Management 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Netlify (Frontend) + Render (Backend) 🎥 𝗖𝗵𝗲𝗰𝗸 𝗼𝘂𝘁 𝘁𝗵𝗲 𝟯-𝗺𝗶𝗻𝘂𝘁𝗲 𝗱𝗲𝗺𝗼 𝘃𝗶𝗱𝗲𝗼 𝗯𝗲𝗹𝗼𝘄! Repositories are available here: Frontend: https://lnkd.in/eQ-JzwSs Backend: https://lnkd.in/eNiGwkYa 🚀 𝗧𝗿𝘆 𝗶𝘁 𝗹𝗶𝘃𝗲: https://lnkd.in/eQBUJUQd (Note: Backend runs on Render’s free tier, so initial load may take ~60 seconds.) #FullStackDevelopment #WebDevelopment #React #TypeScript #NodeJS #PostgreSQL #AI #RealTime #SoftwareEngineering

💡 𝙒𝙝𝙚𝙣 𝙩𝙤 𝙪𝙨𝙚 𝙎𝙚𝙧𝙫𝙚𝙧 𝘼𝙘𝙩𝙞𝙤𝙣𝙨 𝙫𝙨 𝘼𝙋𝙄 𝙍𝙤𝙪𝙩𝙚𝙨 𝙞𝙣 𝙉𝙚𝙭𝙩.𝙟𝙨 If you’ve moved to Next.js 14+, you’ve probably wondered — “Should I use a Server Action or an API Route for this?” 🤔 Here’s the simple rule I follow 👇 ⚙️ 𝙎𝙚𝙧𝙫𝙚𝙧 𝘼𝙘𝙩𝙞𝙤𝙣𝙨 → 𝘾𝙐𝘿 (Create / Update / Delete) ✅ Ideal for server-side mutations directly from your components ✅ No need for manual fetch() — just call the async action ✅ Automatically runs securely on the server ✅ Handles form submissions, mutations, and cache revalidation seamlessly 💡 Example: Creating a user from a form Updating profile details Deleting a record 🌍 𝘼𝙋𝙄 𝙍𝙤𝙪𝙩𝙚𝙨 → 𝙍 (Read / Fetch) ✅ Perfect for data fetching — you can call them from clients, servers, or external systems ✅ Clean separation for GET endpoints ✅ Can be cached, paginated, and integrated across apps ✅ Works great for dashboards, mobile apps, and other consumers 💡 Example: Fetching data for charts or tables Public endpoints Mobile / external integrations 🚀 𝙎𝙪𝙢𝙢𝙖𝙧𝙮: 🧩 Use Server Actions for mutations (CUD) 🌐 Use API Routes for fetching data (R) Together, they create a clean and scalable pattern — mutations stay within Next, and reads stay reusable and sharable. 🧠 Next.js is slowly redefining the full-stack boundary — use Server Actions to simplify internal logic, and APIs to power everything beyond the UI. #NextJS #React #FullStack #ServerActions #API #JavaScript #WebDevelopment #TypeScript