Mastering React APIs: Fetching Data & Fixing Common Bugs

React Performance Tip: Stop Overusing useEffect — Use useQuery Instead One mistake I often see (and made myself earlier) while working with React apps is overusing useEffect for API calls. 👉 Typical approach: Call API inside useEffect Manage loading state manually Handle errors separately Re-fetch logic becomes messy This works… but it doesn’t scale well. 🔁 Better approach: Use React Query (useQuery) When I started using useQuery, it simplified a lot of things: ✅ Automatic caching ✅ Built-in loading & error states ✅ Background refetching ✅ Cleaner and more readable code 👉 Example: Instead of this 👇 useEffect(() => { setLoading(true); axios.get('/api/data') .then(res => setData(res.data)) .catch(err => setError(err)) .finally(() => setLoading(false)); }, []); Use this 👇 const { data, isLoading, error } = useQuery({ queryKey: ['data'], queryFn: () => axios.get('/api/data').then(res => res.data), }); 🔥 Result: Less boilerplate Better performance (thanks to caching) Easier state management 📌 Takeaway: If you're building scalable React applications, tools like React Query are not optional anymore — they’re essential. What’s one React optimization you swear by? Drop it in the comments 👇 #ReactJS #WebDevelopment #Frontend #JavaScript #SoftwareEngineering #CleanCode #TechTips #Developers

"Which analytics SDK works with React, Vue, Node.js, and plain JavaScript?" All of them, if you count the setup time in days. SensorCore — AI-native analytics via MCP — has a universal JS SDK that works everywhere JavaScript runs. Setup takes 60 seconds. Install: npm install sensorcore Configure: import SensorCore from 'sensorcore'; SensorCore.configure({ apiKey: 'sc_YOUR_API_KEY' }); Log events: SensorCore.log('Checkout Started', { metadata: { plan: 'pro', source: 'pricing_page', platform: 'web' } }); That's three steps. You're done. Works everywhere: - React — call SensorCore.log() in event handlers or useEffect - Vue — call it in methods or lifecycle hooks - Node.js — log from your Express/Fastify/Next.js backend - Plain JS — works in any browser environment Same API. Same apiKey. Same data pipeline. Your AI agent sees events from all platforms in one unified stream. What happens after you log: SensorCore.log() → POST /api/logs → ClickHouse ↓ AI agent queries via MCP ↓ "Users from pricing_page convert 3x more" One SDK, all platforms, AI-powered analysis. No separate dashboard to check. What's your current analytics stack? Is it the same SDK across frontend and backend?

🚀 Understanding Props vs State in React — Simplified! In React, everything revolves around data. But there are two ways to handle it: 👉 Props 👉 State Understanding the difference is crucial for building scalable apps. 💡 What are Props? 👉 Props (short for properties) are used to pass data from parent to child function Greeting({ name }) { return <h1>Hello {name}</h1>; } <Greeting name="React" /> ✅ Read-only ✅ Passed from parent ✅ Cannot be modified by child 💡 What is State? 👉 State is data managed inside a component const [count, setCount] = useState(0); setCount(count + 1); ✅ Mutable ✅ Managed within component ✅ Triggers re-render ⚙️ How it works 🔹 Props: Flow: Parent → Child Immutable Used for communication 🔹 State: Local to component Can be updated Controls UI behavior 🧠 Real-world use cases ✔ Props: Passing data to components Reusable UI components Configuring child behavior ✔ State: Form inputs Toggle UI (modals, dropdowns) Dynamic data 🔥 Best Practices (Most developers miss this!) ✅ Use props for passing data ✅ Use state for managing UI ✅ Keep state minimal and local ❌ Don’t mutate props directly ❌ Don’t duplicate state unnecessarily ⚠️ Common Mistake // ❌ Mutating props props.name = "New Name"; 👉 Props are read-only → always treat them as immutable 💬 Pro Insight 👉 Props = External data (controlled by parent) 👉 State = Internal data (controlled by component) 📌 Save this post & follow for more deep frontend insights! 📅 Day 8/100 #ReactJS #FrontendDevelopment #JavaScript #ReactHooks #WebDevelopment #SoftwareEngineering #100DaysOfCode 🚀

Everything looked correct… but we were sending the wrong data to the backend. At some point, you can started noticing something strange in your dashboard. Nothing was obviously broken. The UI updated. The inputs worked as expected.But the data didn’t match what users were typing. Imagine this - you type “John” into a search field. The UI shows “John”. But the API request… still uses the previous value. Here’s a simplified version of what we had: function Dashboard() { const [filters, setFilters] = React.useState({ search: '' }); const fetchData = React.useCallback(() => { api.get('/users', { params: filters }); }, []); React.useEffect(() => { fetchData(); }, [filters]); return ( <input value={filters.search} onChange={(e) => setFilters({ search: e.target.value }) } /> ); } At first glance, it feels correct. The effect depends on filters. Whenever filters change, we fetch data. So what could go wrong? The issue was hiding in a place that looked “optimized”. That useCallback. It was created once, with an empty dependency array. Which means it captured the value of filters at the very beginning… and never updated it. So every time fetchData ran, it used an old version of the filters. That’s why the UI and the backend slowly drifted apart. The user saw one thing. The API received another. The fix was simple: const fetchData = React.useCallback(() => { api.get('/users', { params: filters }); }, [filters]); Or just removing useCallback entirely. What made this bug tricky is that nothing actually crashed.Everything looked fine. But the data was wrong. It was a good reminder that React doesn’t magically keep values up to date inside functions. Closures remember the state from the moment they were created. And sometimes… that’s exactly the problem. Have you run into something like this before? #reactjs #javascript #frontend #webdevelopment #softwareengineering #react #webdev

𝗬𝗼𝘂’𝗿𝗲 𝗙𝗲𝘁𝗰𝗵𝗶𝗻𝗴 𝗗𝗮𝘁𝗮… 𝗕𝘂𝘁 𝗪𝗵𝘆 𝗔𝗿𝗲 𝗬𝗼𝘂 𝗥𝗲𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗘𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴? A lot of developers say: “I use React.” “I’m building with APIs.” But when you check their code… They’re manually handling everything: Loading states. Error states. Refetching. Caching. Every. Single. Time. 𝗧𝗵𝗮𝘁’𝘀 𝗪𝗵𝗲𝗿𝗲 𝗧𝗮𝗻𝗦𝘁𝗮𝗰𝗸 𝗤𝘂𝗲𝗿𝘆 𝗖𝗼𝗺𝗲𝘀 𝗜𝗻 It’s not just a library. It’s a 𝗱𝗮𝘁𝗮-𝗳𝗲𝘁𝗰𝗵𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺 built for modern React apps. 𝗧𝗵𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 (𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗜𝘁) Fetching data in React manually looks simple… Until it’s not. You end up writing: • isLoading logic • try/catch error handling • retry mechanisms • caching logic • syncing server + UI state 𝗔𝗻𝗱 𝘆𝗼𝘂 𝗿𝗲𝗽𝗲𝗮𝘁 𝗶𝘁 𝗲𝘃𝗲𝗿𝘆𝘄𝗵𝗲𝗿𝗲. That’s not scalable. 𝗪𝗵𝗮𝘁 𝗧𝗮𝗻𝗦𝘁𝗮𝗰𝗸 𝗤𝘂𝗲𝗿𝘆 𝗗𝗼𝗲𝘀 It takes all that stress away. Out of the box, you get: 𝗟𝗼𝗮𝗱𝗶𝗻𝗴 𝘀𝘁𝗮𝘁𝗲𝘀 → no manual flags 𝗘𝗿𝗿𝗼𝗿 𝗵𝗮𝗻𝗱𝗹𝗶𝗻𝗴 → clean and predictable 𝗖𝗮𝗰𝗵𝗶𝗻𝗴 → data is stored and reused 𝗔𝘂𝘁𝗼 𝗿𝗲𝗳𝗲𝘁𝗰𝗵𝗶𝗻𝗴 → keeps data fresh 𝗦𝘆𝗻𝗰𝗵𝗿𝗼𝗻𝗶𝘇𝗲𝗱 𝘀𝘁𝗮𝘁𝗲 → UI always matches server All with a few lines. 𝗥𝗲𝗮𝗹-𝗟𝗶𝗳𝗲 𝗘𝘅𝗮𝗺𝗽𝗹𝗲 You’re building a dashboard. Without TanStack Query: You write 30–50 lines just to fetch and manage one API. With it? You write a hook → and everything works. 𝗟𝗲𝘀𝘀 𝗰𝗼𝗱𝗲. 𝗙𝗲𝘄𝗲𝗿 𝗯𝘂𝗴𝘀. 𝗙𝗮𝘀𝘁𝗲𝗿 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁. 𝗪𝗵𝘆 𝗜𝘁’𝘀 𝗘𝘃𝗲𝗻 𝗠𝗼𝗿𝗲 𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗡𝗼𝘄 (𝗔𝗜 𝗘𝗥𝗔) With AI-powered apps… You’re constantly fetching data: -Chats -Suggestions -Predictions =Real-time updates If you handle all that manually? You’ll slow yourself down. 𝗧𝗮𝗻𝗦𝘁𝗮𝗰𝗸 𝗤𝘂𝗲𝗿𝘆 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝗮 𝗻𝗲𝗰𝗲𝘀𝘀𝗶𝘁𝘆. Because in 2026… Speed isn’t just about performance. It’s about 𝗵𝗼𝘄 𝗳𝗮𝘀𝘁 𝘆𝗼𝘂 𝗯𝘂𝗶𝗹𝗱. Have you used TanStack Query yet? What was your experience? 👇 - Mustapha The Software Engineer #ReactJS #TanStackQuery #WebDevelopment #FrontendDevelopment #SoftwareEngineering #JavaScript #BuildInPublic #TechIn2026

Why Lifting State Up is Important in React? In React, one of the most powerful concepts you’ll come across is "Lifting State Up". It might sound complex at first, but once you get it, your component design improves instantly. 1️⃣What is Lifting State Up? Lifting state up means moving state from a child component to its closest common parent so that multiple components can share and stay in sync with the same data. 2️⃣ Why is it Important? 1️⃣ Single Source of Truth When state is managed in one place, your data stays consistent across components. No more bugs caused by mismatched states. 2️⃣ Better Data Flow React follows a unidirectional data flow (parent ➝ child). Lifting state up helps you stay aligned with React’s core philosophy. 3️⃣ Easier State Management Instead of managing multiple states in different components, you centralize it, making your app easier to debug and maintain. 4️⃣ Component Communication Made Easy Sibling components can’t talk directly. But if you lift the state to a parent, they can communicate via props. 3️⃣Simple Example Imagine two components: -SearchBar -ResultsList Both need access to the same search query. 🔍Instead of keeping state inside SearchBar, lift it up to the parent: -Parent holds query -Pass query & setQuery to SearchBar -Pass query to ResultsList -Now both components stay perfectly in sync. 4️⃣When NOT to Lift State When the state is only used in one component When lifting makes your component tree unnecessarily complex Rule of thumb: Lift state only as much as needed, not more. Final Thoughts Mastering this concept will make you a better React developer. It’s not just about writing code, it’s about designing clean, scalable systems. What do you think? Have you faced issues that were solved by lifting state up? Let’s discuss #React #Frontend #WebDevelopment #JavaScript #ReactJS #Coding

🚀Why Loading Too Much Data Can Break Your Application While working on an infinite scrolling feature in React, I came across an important real-world problem 👇 ❌ Problem: If the backend sends a very large amount of data at once, both the website and server start slowing down. 🔍 Why does this happen? ▪️ Large API responses take more time to transfer over the network. ▪️The browser struggles to render too many items at once. ▪️Memory usage increases significantly. ▪️Server load increases when handling heavy requests. 👉 I was using the GitHub API, and it helped me understand how important it is to control the amount of data being fetched. 📦 Solution: Pagination + Infinite Scrolling ▪️Instead of loading everything at once: ▪️Fetch data in smaller chunks (pagination) ▪️Load more data only when needed (infinite scroll). ⚡ Benefits: ▪️Faster initial load time ▪️Better performance ▪️Smooth user experience ▪️Reduced server stress 💡 What I learned: ▪️Efficient data fetching is crucial in frontend development ▪️Performance optimization matters as much as functionality ▪️Real-world applications are built with scalability in mind 🎯 Key takeaway: It’s not about how much data you can load — it’s about how efficiently you load it. #ReactJS #JavaScript #WebDevelopment #Frontend #Performance #LearningInPublic #CodingJourney

🚀 How I Optimize Performance in ReactJS (Senior Developer Approach) After working on large-scale apps like dashboards, data grids, and enterprise systems, I’ve learned one thing: 👉 Performance is not about tricks… it’s about strategy + measurement. Here’s my real-world approach 👇 --- 🔍 1. Don’t guess — Measure first Before optimizing anything: React DevTools Profiler Chrome Performance tab Lighthouse 👉 Find actual bottlenecks, not assumptions --- ⚡ 2. Control Re-Renders Unnecessary re-renders = biggest performance killer ✔️ Use React.memo for pure components ✔️ Use useCallback for stable functions ✔️ Use useMemo for expensive calculations 👉 Optimize only where needed (overuse can backfire) --- 📦 3. Reduce Bundle Size Large bundle = slow load ✔️ Code splitting (React.lazy) ✔️ Dynamic imports ✔️ Remove unused libraries 👉 Faster initial load = better UX --- 📊 4. Handle Large Data Efficiently Rendering 1000+ rows? Don’t render everything ✔️ Use virtualization (react-window, AG Grid) ✔️ Server-side pagination & filtering 👉 Render only what user sees --- ⏳ 5. Optimize API Calls ✔️ Debounce search inputs ✔️ Use caching (React Query / TanStack Query) ✔️ Avoid duplicate API calls 👉 Less load on server + smoother UI --- 🧠 6. Smart State Management ✔️ Keep state close to component ✔️ Avoid unnecessary global state ✔️ Separate server state vs UI state 👉 Cleaner architecture = better performance --- 🖼️ 7. Optimize Assets ✔️ Lazy load images ✔️ Use WebP ✔️ Compress assets 👉 Small things = big impact --- 🔥 Final Thought > “Premature optimization is bad, but ignoring performance is worse.” As a Senior Engineer, my focus is: 👉 Measure → Identify → Optimize → Validate --- 💬 Curious to know: What’s the biggest performance issue you’ve faced in React? #ReactJS #Frontend #Performance #WebDevelopment #JavaScript #ReactDeveloper #SoftwareEngineering 🚀

🚀 Still making too many API calls in React? You're silently killing your app performance… I used to think “more API calls = more fresh data” 🤦♂️ But reality hit differently. 👉 Slow UI 👉 Unnecessary server load 👉 Poor user experience Then I learned something powerful: Optimizing API calls is not optional — it’s a skill. Here’s what actually made a difference 👇 💡 1. Fetch only what you need Stop pulling entire data when you only need 2 fields. ⚡ 2. Use caching (React Query / SWR) Why fetch again when you already have the data? 🔁 3. Avoid duplicate requests Same API, multiple calls? That’s wasted performance. ⏳ 4. Debounce & throttle inputs Search bars don’t need 10 API calls per second 😅 📚 5. Paginate or use infinite scroll Load smart, not everything at once. 🌐 6. Use proper HTTP methods GET ≠ POST ≠ PUT — use them correctly. ❌ 7. Cancel unnecessary requests User left the page? Stop the API call. 🔗 8. Batch or combine requests Less calls = faster app. 🎯 9. Lazy load & conditional fetching Call APIs only when needed. 🔄 10. Background refetching (stale-while-revalidate) Show fast data first, update silently. 🔥 The result? ✔ Faster apps ✔ Happier users ✔ Lower server cost 💬 Honestly, the biggest mindset shift for me was: 👉 “Don’t fetch more. Fetch smarter.” If you're building with React, this is something you can’t ignore. #ReactJS #WebDevelopment #Frontend #JavaScript #APIs #Performance #CodingTips #Developers #Tech

🚀 I’m excited to finally share a tool I’ve been building: MERN Visualizer! 🚀 If you’ve ever joined a new project or tried to debug a complex full-stack web app, you know how hard it can be to trace exactly how the UI, API, and Database are communicating. Static documentation gets outdated quickly, and tracing logs can be tedious. I decided to solve that. 🛠️ https://lnkd.in/ghQcBmzg MERN Visualizer is a zero-config, professional-grade observability tool that automatically auto-scans your application’s architecture (via AST) and monitors live traffic to give you an interactive, real-time map of your entire data flow! ✨ Here’s what it can do out of the box: 🔍 Universal Scanning: Seamlessly supports Express, Fastify, and Next.js. 🖱️ UI-to-API Linkage: Instantly maps which React component or specific JSX element triggers a backend API route. 🚥 Live Pulse Engine: Thanks to a custom Socket.io bridge, nodes flash in real-time on the architecture graph the moment web traffic hits your server. 📊 Production DB Inference: Automatically maps actual MongoDB schemas from your live database. It’s built for developers who care about code clarity and architectural integrity. Just install it globally via NPM and run mern-visualizer scan in your project root! 📦 NPM Package: https://lnkd.in/gGpW7CjP I recorded a full walkthrough video showing the tool in action (and maybe a fun hacker-themed boot sequence too 👨💻). Check it out in the link below! I’d love to hear your thoughts and feedback. Let me know what framework you'd like me to add support for next! 👇 Ram Maheshwari #SoftwareEngineering #WebDevelopment #ReactJS #NodeJS #ExpressJS #MERNStack #OpenSource #Observability #JavaScript #DeveloperTools #NPM