𝗠𝗮𝗻𝗮𝗴𝗶𝗻𝗴 𝗦𝘁𝗮𝘁𝗲 𝗶𝗻 𝗥𝗲𝗮𝗰𝘁 𝗶𝘀 𝗦𝗶𝗺𝗽𝗹𝗲… 𝗨𝗻𝘁𝗶𝗹 𝗜𝘁 𝗜𝘀𝗻’𝘁 Managing state in React used to feel simple… until your app started growing. At the beginning, useState works perfectly. You manage a few variables inside a component, pass props where needed, and everything feels clean. But as your application scales, things start to change — props drilling becomes messy, multiple components depend on the same data, and tracking updates gets harder. That’s when you realize — state management isn’t just about storing data, it’s about how data flows across your app. Here’s how common state management approaches work: useState (Local State) : Each component manages its own state independently. Simple and effective, but not ideal when many components need the same data. Context API : Creates a global store that can be accessed by any component without passing props manually. Useful for shared data like themes, auth, or user info. Redux : Centralized store for the entire application. State is updated through actions and reducers, making changes predictable and easier to debug, especially in large apps. Redux Toolkit : A simplified version of Redux that reduces boilerplate and makes state management faster and cleaner. Lightweight alternatives that offer simpler APIs and more flexibility for managing global or shared state. In my experience as a Full Stack Developer, choosing the right tool depends on the complexity of the application — smaller apps work well with Context, while larger systems benefit from structured tools like Redux. The goal isn’t just to manage state… It’s to make your application predictable, scalable, and easy to maintain. #FullStackDevelopment #WebDevelopment #Java #React #SpringBoot #SoftwareEngineering #Coding #Developers #C2C #C2H #Lakshya #Apex #insightGlobal #BitwiseGlobal #JudgeGroup #Frontend #ReactJS #JavaScript #StateManagement #Redux #ContextAPI #Zustand #Recoil
Managing State in React: Choosing the Right Tool
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🚨 Your API didn’t fail… you just didn’t understand the status code. When I started working with APIs in React, I used to think: 👉 “If I get data → success” 👉 “If I don’t → error” But reality is much deeper. Understanding API Status Codes completely changed how I debug, build UI, and handle user experience. Here’s what I’ve learned 👇 🟢 2xx — Success (But still check!) 200 OK → Everything worked 201 Created → Data successfully added ➡️ Learning: Don’t blindly trust success. Always validate response data. 🟡 3xx — Redirection (Rare but important) Mostly handled by browsers automatically ➡️ Learning: Can affect authentication flows and API routing. 🔴 4xx — Client Errors (Your mistake 👀) 400 Bad Request → Wrong data sent 401 Unauthorized → Auth missing/invalid 403 Forbidden → No permission 404 Not Found → Wrong endpoint ➡️ Learning: 80% of bugs I faced were here. Fix your request, not the server. 💥 5xx — Server Errors (Not your fault… mostly) 500 Internal Server Error → Backend issue 503 Service Unavailable → Server down ➡️ Learning: Handle gracefully. Show fallback UI, retry logic. 💡 What changed for me as a React Developer: ✔️ Better error handling UI (not just “Something went wrong”) ✔️ Smarter debugging (faster fixes) ✔️ Improved user experience with proper feedback ✔️ Cleaner API integration logic 🧠 Final Thought: Status codes are not just numbers… They are communication between your frontend and backend. If you understand them well, you stop guessing and start building with confidence. #ReactJS #WebDevelopment #FrontendDeveloper #JavaScript #API #SoftwareDevelopment #CodingLife #DevCommunity #LearnInPublic #TechGrowth #ReactDeveloper #100DaysOfCode #ProgrammerLife #Debugging #CodeNewbie #FullStackJourney
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𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮 #𝗩𝗶𝘀𝘂𝗮𝗹𝗟𝗼𝗴𝗶𝗰𝗘𝗻𝗴𝗶𝗻𝗲: 𝗠𝗼𝘃𝗶𝗻𝗴 𝗕𝗲𝘆𝗼𝗻𝗱 𝗦𝘁𝗮𝘁𝗶𝗰 𝗨𝗜 I’ve always been fascinated by "low-code" tools like Zapier, Node-RED and Mostly N8N, so I decided to build my own version from scratch. I’m excited to share a project I’ve been working on: 𝗔 𝗡𝗼𝗱𝗲-𝗕𝗮𝘀𝗲𝗱 𝗩𝗶𝘀𝘂𝗮𝗹 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗘𝗻𝗴𝗶𝗻𝗲. It’s not just a UI; it’s a fully functional execution environment where you can orchestrate live API workflows. 𝗧𝗵𝗲 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲: How do you let a user write code in a node, execute it safely, and make it "wait" for an API response before moving to the next node? 𝗧𝗵𝗲 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: I built a custom execution engine using the AsyncFunction constructor. This allows each node to handle asynchronous tasks like fetch while passing data down the chain in real-time. 𝗞𝗲𝘆 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀: ✅ 𝗔𝘀𝘆𝗻𝗰 𝗡𝗼𝗱𝗲 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻: Full support for async/await inside every node. ✅ 𝗗𝗮𝘁𝗮 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻: Pass the output of a POST request directly into a DELETE node. ✅ 𝗟𝗶𝘃𝗲 𝗖𝗼𝗻𝘀𝗼𝗹𝗲 𝗜𝗻𝗷𝗲𝗰𝘁𝗶𝗼𝗻: I intercepted the global console.log to provide real-time feedback within the UI. ✅ 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗦𝘁𝗮𝘁𝘂𝘀 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴: Visual feedback (Pending/Success/Error) using React Flow's state management. In the demo below, you can see a full 𝗖𝗥𝗨𝗗 𝗹𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲 using the DummyJSON API. The engine fetches a list, creates a new entry, updates it, and finally deletes it—all while animating the data flow. Next up: Adding persistent storage so users can save and share their logic flows! Github : https://lnkd.in/eK7h9vFc #ReactJS #TypeScript #ReactFlow #WebDevelopment #SoftwareEngineering #JavaScript #Programming React, Reactflow and Google
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Most Node.js applications don't crash because of bad architecture. They crash because of basic mistakes. Node.js is robust and scalable, but its asynchronous nature and single-threaded event loop catch many developers off guard. Simple oversights can slowly degrade performance or take down your entire server silently. Here are the most common Node.js mistakes and how to avoid them: 1. Blocking the Event Loop Since Node is single-threaded, running heavy synchronous operations (like complex calculations or giant JSON parsing) blocks all other requests from processing. Always offload heavy tasks. 2. The "Headers Already Sent" Error This happens when you try to send a response to the client more than once. Developers often forget to explicitly use "return" after an early response. 3. Unhandled Promise Rejections If you don't wrap your async operations in try/catch or use .catch(), an unhandled rejected promise can crash your Node process altogether. 4. Mixing Callbacks and Promises This leads to chaotic, unreadable code. Stick to modern async/await to keep your control flow linear and clean. 5. Running Development Mode in Production Failing to set NODE_ENV=production means Express and other libraries will skip crucial caching and performance optimizations. Here is a classic example of the early return mistake: ```javascript app.get('/user', (req, res) => { if (!req.query.id) { res.status(400).json({ error: 'ID is required' }); // MISTAKE: Execution continues because of missing 'return' } // This will still execute, causing a "headers already sent" crash. res.status(200).json({ success: true, user: "John Doe" }); }); ``` Key takeaways: - Never block the event loop with heavy sync tasks. - Always return early when sending error responses. - Handle all async errors diligently. - Use the correct environment variables for production. What was the most frustrating Node.js mistake you made when starting out? Let me know below. #nodejs #javascript #webdevelopment #backend #softwareengineering #coding #programming #tech #webdev #expressjs
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🚀 𝐃𝐚𝐲 2/30 – 𝐍𝐨𝐝𝐞.𝐣𝐬 𝐒𝐞𝐫𝐢𝐞𝐬: 𝐄𝐯𝐞𝐧𝐭 𝐋𝐨𝐨𝐩 (𝐓𝐡𝐞 𝐇𝐞𝐚𝐫𝐭 𝐨𝐟 𝐍𝐨𝐝𝐞.𝐣𝐬) If you understand this, you understand Node.js. Most developers say Node.js is single-threaded… 👉 But still wonder: “How does it handle multiple requests?” The answer = 𝐄𝐯𝐞𝐧𝐭 𝐋𝐨𝐨𝐩 🔁 💡 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐄𝐯𝐞𝐧𝐭 𝐋𝐨𝐨𝐩? It’s a mechanism that: ➡ Continuously checks if tasks are completed ➡ Moves completed tasks to execution ➡ Ensures Node.js doesn’t block 🧠 𝐇𝐨𝐰 𝐢𝐭 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐰𝐨𝐫𝐤𝐬 (𝐬𝐢𝐦𝐩𝐥𝐢𝐟𝐢𝐞𝐝): Call Stack → Executes code Web APIs / System → Handles async tasks (I/O, timers, API calls) Callback Queue → Stores completed tasks Event Loop → Pushes them back to stack when ready 🔁 𝐑𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐟𝐥𝐨𝐰: 𝘤𝘰𝘯𝘴𝘰𝘭𝘦.𝘭𝘰𝘨("𝘚𝘵𝘢𝘳𝘵"); 𝘴𝘦𝘵𝘛𝘪𝘮𝘦𝘰𝘶𝘵(() => { 𝘤𝘰𝘯𝘴𝘰𝘭𝘦.𝘭𝘰𝘨("𝘛𝘪𝘮𝘦𝘰𝘶𝘵 𝘥𝘰𝘯𝘦"); }, 0); 𝘤𝘰𝘯𝘴𝘰𝘭𝘦.𝘭𝘰𝘨("𝘌𝘯𝘥"); 👉 Output: Start End Timeout done ❗ Even with 0ms, it waits — because Event Loop prioritizes the call stack first. ⚡ Why this matters in real projects Let’s say: 100 users hit your API Each API calls DB + external service Without event loop: ❌ Requests block each other With Node.js: ✅ Requests are handled asynchronously ✅ System stays responsive 🔥 From my experience: In production systems, long-running operations (like file processing, invoice parsing, etc.) should NOT sit in the event loop. 👉 We offloaded them to async queues (Service Bus / workers) Why? ✔ Keeps event loop free ✔ Avoids blocking requests ✔ Improves scalability ⚠️ Common mistake developers make: while(true) { // heavy computation } ❌ This blocks the event loop → entire app freezes ✅ Takeaway: Event Loop is powerful, but: ✔ Keep it light ✔ Offload heavy tasks ✔ Design async-first systems 📌 Tomorrow (Day 3): Callbacks → Why they caused problems (Callback Hell) #NodeJS #EventLoop #JavaScript #BackendDevelopment #SystemDesign #FullStack
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async/await doesn't make your code faster. It makes your code non-blocking. These are NOT the same thing. I see this misunderstood constantly — even in codebases with senior devs. Example: // This is still sequential. Both await one after the other. const user = await getUser(id); const orders = await getOrders(id); // Total time: time(getUser) + time(getOrders) // This runs BOTH at the same time. const [user, orders] = await Promise.all([getUser(id), getOrders(id)]); // Total time: max(time(getUser), time(getOrders)) If getUser takes 200ms and getOrders takes 300ms: → Sequential: 500ms → Parallel: 300ms That's a 40% reduction from changing 2 lines. When I applied this pattern to our fintech API (replacing sequential DB calls), average response time dropped from 340ms to 180ms. The concept: async/await is about WAITING EFFICIENTLY. Not about doing things faster — about not blocking while you wait. Use Promise.all when: ✅ Calls are independent (don't need result A to start B) ✅ You want the fastest possible response ✅ Failure of one should cancel all (add Promise.allSettled for partial) Don't use Promise.all when: ❌ Call B depends on result from Call A ❌ You need strict ordering Save this. Share it with your team. #NodeJS #JavaScript #Backend #AsyncProgramming #WebDevelopment
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💡 𝗪𝗵𝘆 "𝗢𝗹𝗱 𝗦𝗰𝗵𝗼𝗼𝗹" 𝗩𝘂𝗲 𝗢𝗽𝘁𝗶𝗼𝗻𝘀 𝗔𝗣𝗜 𝗶𝘀 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗮 𝘀𝗲𝗰𝗿𝗲𝘁 𝘄𝗲𝗮𝗽𝗼𝗻 𝗳𝗼𝗿 𝘀𝘁𝗮𝗯𝗹𝗲 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝘀𝘆𝘀𝘁𝗲𝗺𝘀. Unpopular opinion: I still prefer the Vue.js Options API for building complex information systems. 🚀 While the Composition API is fantastic for logic extraction and TypeScript flexibility, the structured nature of the Options API remains a "stability powerhouse" for long-term maintenance. Here’s why: 1️⃣ 𝗘𝗻𝗳𝗼𝗿𝗰𝗲𝗱 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 In a massive information system, cognitive load is the enemy. With the Options API, I know exactly where to look for data, methods, and watchers. It’s an architectural "place for everything and everything in its place" approach that makes onboarding new developers a breeze. 2️⃣ 𝗥𝗲𝗮𝗱𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝘁 𝗦𝗰𝗮𝗹𝗲 When you’re dealing with hundreds of views and data-heavy forms, the clear separation of concerns (data, computed, methods) acts as a natural guide. It prevents the "spaghetti setup" that can sometimes happen when lifecycle hooks and state are mixed together without strict discipline. 3️⃣ 𝗧𝗵𝗲 "𝗜𝗳 𝗶𝘁 𝗮𝗶𝗻'𝘁 𝗯𝗿𝗼𝗸𝗲" 𝗙𝗮𝗰𝘁𝗼𝗿 Stable systems require stable patterns. Many of the enterprise tools we build today need to be maintainable for the next 5–10 years. The Options API is battle-tested, highly readable, and reduces the risk of over-engineering simple UI logic. Don't get me wrong—the Composition API is a game-changer for shared utility logic. But for the core "bread and butter" views of an information system? The Options API is still my go-to for speed and structural integrity. What’s your take? Are you fully "Setup" or do you still find value in the classic Options approach? 👇 #VueJS #WebDevelopment #Frontend #SoftwareArchitecture #Javascript #CleanCode #Programming
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🚀 How Node.js Actually Works (Behind the Scenes) Most developers use Node.js… but very few truly understand how it works internally. Let’s break it down simply 👇 🔹 1. Single-Threaded, But Powerful Node.js runs on a single thread using an event loop. Instead of creating multiple threads for each request, it handles everything asynchronously — making it lightweight and fast. 🔹 2. Event Loop (The Heart of Node.js) The event loop continuously checks the call stack and callback queue. - If the stack is empty → it pushes tasks from the queue - This is how Node handles multiple requests without blocking 🔹 3. Non-Blocking I/O Operations like file reading, API calls, or DB queries don’t block execution. Node offloads them to the system and continues executing other code. 🔹 4. libuv (Hidden Superpower) Behind the scenes, Node.js uses libuv to manage threads, async operations, and the event loop. 🔹 5. Thread Pool (Yes, It Exists!) Even though Node is single-threaded, it uses a thread pool for heavy tasks like: ✔ File system operations ✔ Cryptography ✔ DNS lookups 🔹 6. Perfect For ✅ Real-time apps (chat, live updates) ✅ APIs & microservices ✅ Streaming applications ⚡ In Simple Words: Node.js doesn’t do everything at once — it smartly delegates tasks and keeps moving without waiting. That’s why it’s insanely fast. 💡 Understanding this concept can completely change how you write scalable backend systems. 👉 Are you using Node.js in your projects? What’s your experience with it? #NodeJS #JavaScript #BackendDevelopment #WebDevelopment #Programming #Developers #TechExplained
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🚀 Introducing BugScope – a Real-Time Error Monitoring System 🔍 What BugScope actually does: BugScope is a developer tool that captures application errors in real-time using a lightweight JavaScript SDK and displays them in a centralized dashboard. ⚙️ How it works: • Add BugScope SDK to your application • Errors are automatically captured (no manual logging) • Sent securely to the backend using API keys • Stored and grouped in a database • Visualized in a clean dashboard for debugging ✨ Key Features: • Automatic error tracking (window.onerror & promise rejections) • Project-based API key system • Real-time error logging and monitoring • Error grouping and occurrence tracking • Interactive dashboard with analytics • Simple SDK integration (plug & play) 💡 What makes it different: • Not just a bug tracker → it’s a monitoring system • Inspired by real tools like Sentry • Built from scratch to understand system design + SDK architecture • Lightweight, fast, and developer-friendly ⚙️ Tech Stack: MERN (MongoDB, Express, React, Node.js) 🧑💻 How to try it: Create a project Copy your API key Add BugScope SDK to your app Trigger an error Watch it appear in your dashboard 🔥 🌐 Live: https://lnkd.in/gMfHEinZ 💻 GitHub: Anshumanbishoyi832/bugscope Open to feedback and suggestions 🙌 #webdevelopment #mernstack #fullstackdeveloper #javascript #reactjs #nodejs #softwareengineering
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~400% faster `next dev` startup. 25–60% faster rendering. Yes, those are real numbers from Next.js 16.2. Most changelog releases are noise — bug fixes, minor tweaks, "performance improvements" you'll never notice. This one's different. Here's what actually changed in your day-to-day workflow: → Server Fast Refresh — hot reload now works fine-grained on the server side too, not just the client. No more full-page reloads for server component changes. → Hydration Diff Indicator — the new error overlay shows you exactly where server and client differ. No more guessing in hydration hell. → WASM Workers in Turbopack — WebAssembly inside Next.js Workers is now officially supported. The performance ceiling just got higher. → --inspect for next start — you can finally attach the Node.js debugger to your production server. A small change, but a huge quality-of-life win for debugging prod issues. → Experimental Agent DevTools — AI agents can now access React DevTools and Next.js diagnostics directly from the terminal. Early days, but this is the direction tooling is heading. The bundle of debugging improvements alone makes this upgrade worth doing this sprint. Which of these lands for your current stack? Drop a comment 👇 #NextJS #ReactJS #FrontendDevelopment #WebDev #JavaScript #Turbopack #Frontend
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When Your API Works… But Your UI Doesn’t Update (React Query Lesson) Today I built a “create-product” to Add products, feature in my Next.js project. I used: - useQuery to fetch products - useMutation to create a new product - router navigation after submission The product was created successfully, but I noticed an issue the UI didn’t update immediately after the mutation. I’m currently digging into how query invalidation and cache updates work in React Query to fix this. Even though it’s not fully resolved yet, it’s teaching me something important: frontend development isn’t just about making things work lit’s about keeping data in sync across the UI. Still learning. Still building. For developers……When debugging issues like this, do you prefer focusing on state management first or network/data flow first? Why? Seeing my posts for the first time? I am Irorere Juliet frontend developer and a builder. I believe in growth, consistency, and showing up even when it’s hard. #Nextjs #ReactQuery #JavaScript #WebDevelopment #FrontendDevelopment #BuildInPublic
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