Ali Khalid’s Post

🧠 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

Explore React Flow and Svelte Flow, open-source libraries for creating node-based UIs. These libraries simplify complex system visualizations and interactive diagrams. Use Case 1: Visualize data pipelines, allowing users to interactively explore data flow and dependencies. Use Case 2: Design decision trees for AI models, providing a clear, editable interface for rule creation. Built for React and Svelte, offering customization and out-of-the-box functionality for developers. Learn more about how these tools can enhance your projects. #React #Svelte #JavaScript #OpenSource https://lnkd.in/gmRj_MKG

#Redux isn’t the problem — how we use it is. I’ve seen this happen more than once in large React applications: developers #store every product list, catalog, and #API response directly in Redux… and suddenly the Redux #DevTools crash, and performance starts to drop . #What’s really going on Redux is incredible for application logic — filters, authentication, user preferences, etc. But it’s not designed to hold massive API payloads like entire product catalogs, inventory data, or analytics results. Every time a big payload is #dispatched, Redux has to #serialize it and keep it in history for time-travel debugging — and that quickly leads to slow renders and memory issues. #Modern Approach (2025) The best architecture I’ve seen in production platforms uses a hybrid model: . Redux (or Redux Toolkit) → Global app logic, filters, cart, user session, theme. . Zustand → UI state or heavy local data (product listings, cached search results, modals). . React Query → Handles API calls, caching, and background refetch automatically. Each tool has a clear purpose together they create a clean, scalable, and performant setup. #Why This Works Redux stays lightweight and fast. Zustand handles large, transient UI data without serialization overhead. React Query keeps API data fresh with smart caching. #Real Impact After refactoring projects like this: . Redux state dropped from 50 MB → under 1 MB . DevTools stayed stable . UI interactions became instant . Bundle impact: almost +15 kb . Developer productivity: way up #Takeaway Don’t fear adding small, purpose-built state tools. #Redux = global logic. #React Query = API cache. #Zustand = UI-level performance. When combined correctly, your bundle stays lean and your UI feels instant. #React #Redux #ReactQuery #Zustand #Frontend #WebDevelopment #SoftwareArchitecture #ReactJS #CleanCode #SeniorDeveloper

Structuring API Calls the Smart Way in Next.js — Using an apiConfig Layer When we scale a Next.js project, API calls can quickly get messy — scattered across files, with duplicated URLs, headers, and payload types. To avoid that, I use a dedicated apiConfig file to centralize all service call metadata. This approach keeps my service layer clean, scalable, and self-documented. Why This Helps: ✅ One source of truth for all API endpoints ✅ Easy to manage versioning or environment-based URLs ✅ Enables automatic type inference with TS generics ✅ Keeps service logic minimal and consistent This pattern has been a game-changer for my Next.js service architecture — clean, modular, and future-proof. Do you maintain your API endpoints this way or directly inside service files? 🤔 #Nextjs #SoftwareArchitecture #CleanCode #FrontendEngineering #ReactJS #ScalableApps #WebDevelopment

Ever find yourself copying and pasting the same logic across multiple React components? It's a classic sign your codebase is getting messy. I used to have `useEffect` hooks for fetching data scattered everywhere. It was a nightmare to maintain. 😫 The game-changer for me was embracing 𝐜𝐮𝐬𝐭𝐨𝐦 𝐡𝐨𝐨𝐤𝐬. Instead of duplicating logic, I now abstract it into a reusable function, like `useFetch(url)`. This hook handles the loading state, the data, and any errors. The component just calls `const { data, loading, error } = useFetch('/api/users');` and it's done. 💡 It keeps my components clean, focused on the UI, and makes the logic super easy to test and update. 🚀 If you write a piece of logic more than once, turn it into a custom hook. Your future self will thank you. What small change made a huge impact in your workflow? #ReactJS #FrontendDevelopment #DeveloperTips

React Old vs New: Handling Loading States the Smarter Way Comparison between traditional manual loading state handling and the new automatic approach in React 19. Before React 19 Developers had to manually manage isLoading flags, conditional renders, and spinners — leading to repetitive boilerplate code. Now (React 19 <Loading /> Component) The new <Loading /> component integrates with Suspense to automatically handle loading states during async data fetching. Key Features Highlights of the new loading system in React 19: Automatic Loading State Handling — No need for manual flags. Built-in with Suspense — Works seamlessly with async components. Customizable UI — Replace <Loading /> with your own spinner or skeleton. Cleaner Code, Less Re-renders — Declarative and efficient.

What does it really mean to care about the developer experience? It’s not a slogan. It’s not a bullet point on a marketing deck. And it’s definitely not a checkbox on a product roadmap. At 1771 Technologies, the developer experience isn’t simply a catchy phrase. It’s the foundation. It drives how we design, code, and ship. Every architectural decision and every feature implementation starts with a single question: Have we distilled the complexity down to something simple and elegant? That’s why we built LyteNyte Grid. A React data grid that combines high performance with seamless implementation, allowing developers to build faster, cleaner, and more intuitively than ever before. Check out LyteNyte Grid today: https://lnkd.in/e35HpS7z #reactjs #typescript #opensource #javascript 

What fixing a “simple” loader bug taught me about side effects: 👨💻💡 I was recently digging into an async flow in a large React + Redux project, where a few loaders and buttons were flickering out of sync. It looked like a small UI issue at first, but it turned out to be a classic example of how side effects behave in asynchronous code. When working with Redux Saga (or any async flow), the order in which your side effects fire can make or break your UI consistency. A non-blocking fork might sound harmless, but when your UI depends on data that hasn’t arrived yet, that “simple” fork can trigger race conditions that ripple across the entire flow. After untangling it, I realized how important it is to clearly define which effects should run in sequence and which can safely run in parallel. In my case, changing a couple of calls from non-blocking to blocking completely stabilized the interface and eliminated flicker. It was a great reminder that even small details in async architecture can have big UX impacts. Sometimes, fixing a flicker teaches you more about systems thinking than fixing a full crash. If you’re working in Redux Saga (or any async-heavy setup), it’s worth reviewing which of your effects truly need to run in parallel. Clarity there can save your users a lot of invisible friction. #reactdeveloper #redux #frontenddevelopment

Day-60 Full Stack Development 💡 Day 5: React Interactivity — Event Handling & Conditional Rendering In React, building dynamic UIs isn’t just about displaying data — it’s about how users interact with your components. Today, I explored how React handles events and how we can conditionally render content based on app state. 🖱️ 1️⃣ Event Handling in React React events are similar to DOM events but follow the camelCase naming convention and use JSX syntax. Example: <button onClick={handleClick}>Click Me</button> Functions like handleClick are defined inside the component and can update state or trigger other actions. React automatically binds event listeners efficiently through its Virtual DOM, ensuring smooth updates. ⚙️ 2️⃣ Passing Parameters to Event Handlers You can pass arguments easily using arrow functions: <button onClick={() => handleDelete(id)}>Delete</button> This keeps handlers flexible and avoids unnecessary re-renders. 🔁 3️⃣ Conditional Rendering React lets you show or hide elements dynamically using: Ternary operators: {isLoggedIn ? <Dashboard /> : <Login />} Logical && operator: {error && <p>Error loading data!</p>} This approach makes UIs clean, declarative, and responsive to state changes. ✨ In short: Event handling and conditional rendering together make React apps feel alive — responding instantly to user actions while maintaining component-based architecture. #ReactJS #FrontendDevelopment #JavaScript #WebDevelopment #ConditionalRendering #ReactEvents #ManojLearnsReact #UIUX #CodingJourney #cfbr

🚀 Redux vs Zustand vs Context API — Which One Should You Use? Many React devs get stuck choosing the right state management tool. Here’s a practical comparison that’ll save you time 👇 🧩 Context API ✅ Built-in, no extra setup. ❌ Every consumer re-renders when the context value changes. Best for: Small apps or static global data (like theme, user info). ⚙️ Redux (especially Redux Toolkit) ✅ Structured, predictable, and great for debugging. ✅ Mature ecosystem (Thunk, Saga, DevTools, etc). ❌ Slightly verbose, but worth it for complex logic. Best for: Medium to large apps with multiple data flows (auth, cart, analytics). ⚡ Zustand ✅ Lightweight, super fast, minimal boilerplate. ✅ Excellent performance — selective re-renders only. ❌ No strict structure, limited DevTools compared to Redux. Best for: Small to medium apps where simplicity and speed matter. --- 🧠 So why not use Zustand in large projects? Because in big codebases: It lacks structure — every dev can write state differently. Debugging tools are basic. Risk of accidental state mutation. Smaller ecosystem (fewer middlewares). In short: > Zustand = speed & simplicity Redux = structure & scalability --- 💡 Quick Rule of Thumb: Context → for small, static data Zustand → for small/medium apps Redux → for large, complex apps #ReactJS #Redux #Zustand #ContextAPI #WebDevelopment #Frontend #StateManagement #JavaScript #ReactDeveloper #CodingTips #TechCommunity #WebDev #SoftwareEngineering