Financial Dashboard with React and Tailwind CSS

⚛️ 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

Let’s talk about useEffect. Not just how to use it… but how to use it properly. Because this is where a lot of frontend issues start. First thing to understand: useEffect is for side effects. That means anything outside the normal render flow: – API calls – subscriptions – timers – interacting with the DOM It’s not a general-purpose tool for logic. Where most people get it wrong: They treat useEffect like: “run this code when the component loads” And then you start seeing things like: – multiple API calls – infinite loops – unnecessary re-renders – state updating in circles A simple example: If you do this: useEffect(() => { fetchData(); }); That runs on every render. Now imagine what happens when state updates… The correct approach is to be intentional: – run once → use [] – run on change → add specific dependencies But here’s the shift that changed things for me: I stopped asking “where can I use useEffect?” And started asking “do I even need useEffect here?” Because in many cases, you don’t. Instead: – derive values directly during render – use event handlers for interactions – use tools like React Query (TanStack Query) for data fetching React Query handles: – caching – background updates – loading & error states – request deduplication So you don’t have to manually manage all of that inside useEffect. That shift alone removes a lot of bugs. useEffect is not a “run code” tool. It’s a synchronisation tool. Once you understand that… your code becomes simpler and more predictable. #React #ReactQuery #Frontend #WebDevelopment #JavaScript #SoftwareEngineering

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

🚀 Understanding useRef in React — Simplified! Not all data in React should trigger a re-render. 👉 That’s where useRef becomes powerful. 💡 What is useRef? useRef is a hook that lets you store a mutable value that persists across renders—without causing re-renders. ⚙️ Basic Syntax const ref = useRef(initialValue); 👉 Access value using: ref.current 🧠 How it works Value persists across renders Updating it does NOT trigger re-render Works like a mutable container 🔹 Example const countRef = useRef(0); const handleClick = () => { countRef.current += 1; console.log(countRef.current); }; 👉 UI won’t update—but value persists 🧩 Real-world use cases ✔ Accessing DOM elements (focus, scroll) ✔ Storing previous values ✔ Managing timers / intervals ✔ Avoiding unnecessary re-renders 🔥 Best Practices (Most developers miss this!) ✅ Use useRef for non-UI data ✅ Use it for DOM access ✅ Combine with useEffect when needed ❌ Don’t use useRef for UI state ❌ Don’t expect UI updates from it ⚠️ Common Mistake // ❌ Expecting UI update countRef.current += 1; 👉 React won’t re-render 💬 Pro Insight 👉 useRef = Persist value without re-render 👉 useState = Persist value with re-render 📌 Save this post & follow for more deep frontend insights! 📅 Day 14/100 #ReactJS #FrontendDevelopment #JavaScript #ReactHooks #useRef #WebDevelopment #SoftwareEngineering #100DaysOfCode 🚀

Built a Users Dashboard (CRUD application) for managing user data with search, sort and pagination. Live Demo:- https://lnkd.in/dYCZKbkH The focus was on handling large datasets efficiently while keeping the UI simple and responsive. Tech stack: React (Vite), JavaScript, Tailwind CSS, REST APIs Key features: Full CRUD operations (create, read, update, delete) Search functionality for quick filtering Pagination to efficiently handle large datasets and reduce load time API integration with structured data handling Responsive and clean UI Focus areas: Implementing pagination logic for better performance and scalability Managing async API calls and state updates Building reusable and maintainable components This project focused on building practical frontend patterns commonly used in production dashboards. #React #JavaScript #CRUD #Frontend #WebDevelopment

useDebounce vs debounce() I got this wrong for months. Working on user forms and search where, every keystroke was triggering an API call. I reached for debounce() first. Big mistake. Here’s what I learned: Wrong - debounce() in render body // Re-creates a new debounced fn on EVERY render const handleSearch = debounce((val) => fetchResults(val), 300); Better - but needs careful handling // Stable across renders, but you manage the fn ref const handleSearch = useRef( debounce((val) => fetchResults(val), 300) ).current; Cleanest - useDebounce hook const [query, setQuery] = useState(''); const debouncedQuery = useDebounce(query, 300); useEffect(() => { if (debouncedQuery) fetchResults(debouncedQuery); }, [debouncedQuery]); // fires only after user stops typing The core difference: debounce(fn) → delays a function call. Lives outside React. Needs useRef to stay stable. useDebounce(value) → delays a state value. React-native, auto-cleanup via useEffect. No ref juggling. My rule now: → Input-driven API calls? useDebounce → Click/scroll/resize handlers? debounce() inside useRef This one pattern alone cut our unnecessary API calls by ~80% on the search feature. What’s your go-to approach? Drop it below 👇 #React #ReactHooks #FrontendEngineering #JavaScript #WebPerformance #ReactDeepDive #SeniorEngineer

🚀 useDeferredValue in React — Smooth UI Without Blocking Ever noticed this? 👉 Typing feels laggy when filtering large data 👉 UI freezes during heavy updates You fixed it with useTransition… Now meet its smarter sibling 👉 useDeferredValue 💡 What is useDeferredValue? useDeferredValue lets you: 👉 Delay updating a value 👉 Keep UI responsive 👉 Let React handle prioritization ⚙️ Basic Syntax const deferredValue = useDeferredValue(value); 👉 React delays updating this value 👉 Until higher priority work is done 🧠 How it works const [query, setQuery] = useState(""); const deferredQuery = useDeferredValue(query); const filteredData = useMemo(() => { return expensiveFilter(data, deferredQuery); }, [deferredQuery]); 👉 Typing stays fast 👉 Filtering happens in background 🧩 Real-world Example Search input: ❌ Without useDeferredValue: Every keystroke triggers heavy filtering UI becomes slow ✅ With useDeferredValue: Input stays smooth Results update slightly later 🔥 Key Difference vs useTransition 👉 useTransition → delays state update 👉 useDeferredValue → delays value usage ⚠️ Common Mistake // ❌ Using for simple values const value = useDeferredValue(count); 👉 Not needed for cheap operations 🔥 Best Practices ✅ Use with expensive computations ✅ Combine with useMemo ✅ Ideal for search/filter UI ❌ Don’t use everywhere blindly 💬 Pro Insight (Senior-Level Thinking) 👉 useDeferredValue improves: ✔ Perceived performance ✔ User experience 👉 Not actual speed—but responsiveness 📌 Save this post & follow for more deep frontend insights! 📅 Day 26/100 #ReactJS #FrontendDevelopment #JavaScript #ReactHooks #ConcurrentRendering #PerformanceOptimization #SoftwareEngineering #100DaysOfCode 🚀

🚀 Stop treating Server State like UI State. As React developers, we’ve all been there: building "custom" fetching logic with useEffect and useState. It starts with one loading spinner and ends with a nightmare of manual cache-busting and race conditions. When I started migrating my data-fetching to TanStack Query, it wasn't just about "fewer lines of code"—it was about a shift in mindset. The Real Game Changers: Declarative vs. Imperative: Instead of telling React how to fetch (and handle errors/loading), you describe what the data is and when it should be considered stale. Focus Refetching: This is a huge UX win. Seeing data update automatically when a user switches back to the tab feels like magic to them, but it’s just one config line for us. Standardized Patterns: It forces the whole team to handle errors and loading states the same way, which makes code reviews much faster. The Win: In a recent refactor, I replaced a tangled mess of global state syncs and manual useEffect triggers with a few useQuery hooks. I was able to delete a significant chunk of boilerplate while fixing those "stale data" bugs that always seem to haunt client-side apps. The takeaway: Don't reinvent the cache. Use tools that let you focus on the product, not the plumbing. 👇 Question for the devs: Are you using TanStack Query for everything, or are you finding that Next.js Server Actions and the native fetch cache are enough for your use cases now? #reactjs #nextjs #frontend #webdev #tanstackquery #javascript

Who really owns your form data? In a standard HTML input, the DOM is the boss. It holds the value in its own internal memory, and you only "ask" for it when the user hits submit. But in React, we don't like hidden state. We want every piece of data to be explicit and predictable. This is where Controlled Components come in. In this pattern, the React state is the single source of truth. The input doesn't maintain its own value. Instead, you tell the input exactly what to display using the 'value' prop, and you update that value through an 'onChange' handler that modifies the state. The input is "controlled" because its behavior is entirely driven by the React component. Why go through this extra boilerplate? It gives you total coordination over the UI. Since the data lives in your state, you can perform instant field validation, disable the submit button based on specific criteria, or even format the user's input in real-time. There is no "syncing" issue between the DOM and your logic because they are never out of alignment. Of course, controlling every single character stroke in a massive form can feel like overkill. For simple, high-performance scenarios where you just need the data at the end, Uncontrolled Components using 'refs' might be faster. But for most applications, the predictability of a controlled flow far outweighs the cost of a few extra lines of code. It ensures that what the user sees is exactly what your application "knows". #ReactJS #SoftwareEngineering #WebDevelopment #FrontendArchitecture #CodingTips #Javascript

I spent 3 hours debugging a “simple” frontend issue… and it turned out to be one line. The problem? An API was getting called on every keystroke. Network tab = chaos 👀 Dozens of API calls for a single search. 👉 The issue: No debouncing. Here’s what the code looked like before: useEffect(() => { if (!query) return; fetch(`https://lnkd.in/eNE6UBeq) .then(res => res.json()) .then(data => setData(data)); }, [query]); Every keypress → API call ❌ Here’s the fix (debouncing): useEffect(() => { if (!query) return; const timer = setTimeout(() => { fetch(`https://lnkd.in/eNE6UBeq) .then(res => res.json()) .then(data => setData(data)); }, 300); return () => clearTimeout(timer); }, [query]); ✅ API calls reduced by ~70% ✅ Smoother UI ✅ Better user experience Lesson: Frontend performance isn’t just about what you render… It’s about when you trigger things. Small change. Big impact. Have you used debouncing or throttling in your apps? Where did it make the biggest difference? #frontend #reactjs #javascript #webperformance #softwareengineering