React Query: A Better Way to Fetch Data in React

⚡ Stop writing useEffect for data fetching in React. We've all written this at least once: useEffect(() => { setLoading(true); fetch('/api/users') .then(res => res.json()) .then(data => setData(data)) .catch(err => setError(err)) .finally(() => setLoading(false)); }, []); It works. But you're manually handling things React Query does for free. Here's what your useEffect approach is missing: ❌ No caching — refetches every single mount ❌ No background refetching ❌ No automatic retries on failure ❌ No deduplication of requests ❌ Boilerplate loading/error state every time ✅ The fix? React Query. const { data, isLoading, error } = useQuery({ queryKey: ['users'], queryFn: () => fetch('/api/users').then(r => r.json()) }); That's it. 4 lines replace 15. What you get out of the box: ✅ Smart caching — won't refetch if data is fresh ✅ Background sync — keeps data up to date silently ✅ Auto retry on network failure ✅ Built-in loading & error states ✅ Request deduplication useEffect is great — but it was never meant to be a data fetching tool. Work smarter, not harder. 🚀 #React #ReactQuery #JavaScript #Frontend #WebDevelopment #Performance #Programming

🔥 I stopped using useEffect for fetching data… and my code got cleaner. For a long time, this was my pattern in React: useEffect(() => { fetch("/api/data") .then(res => res.json()) .then(setData); }, []); It worked… but it came with problems: ❌ Manual loading state ❌ Manual error handling ❌ Refetch logic is messy ❌ No caching Then I discovered TanStack Query. ⚡ Same logic, cleaner approach: const { data, isLoading, error } = useQuery({ queryKey: ["data"], queryFn: fetchData }); 💡 That’s it. And suddenly: ✔ Data is cached ✔ Refetching is automatic ✔ Loading & error states are built-in ✔ Background updates just work 🧠 The mindset shift I stopped thinking: 👉 “How do I fetch data?” And started thinking: 👉 “How do I manage server state?” 🚀 Why this matters Because in real apps, data is: asynchronous shared constantly changing Handling that manually with useEffect doesn’t scale. 🧩 My takeaway: useEffect is not a data-fetching tool. It’s a side-effect tool. And once you separate the two… your code becomes much more predictable. Have you tried TanStack Query before, or are you still using useEffect for everything? #React #JavaScript #Frontend #WebDevelopment #TanStackQuery

“set (𝙧𝙚𝙫𝙖𝙡𝙞𝙙𝙖𝙩𝙚: 𝟲𝟬) and move on” This works in Next.js — until it doesn’t. Now you’re: • serving stale data for up to 60s • re-fetching even when nothing changed • adding load for no reason This is where caching stops being an optimization — and becomes about 𝘄𝗵𝗼 𝗼𝘄𝗻𝘀 𝗳𝗿𝗲𝘀𝗵𝗻𝗲𝘀𝘀. At a high level: 𝗦𝘁𝗮𝘁𝗶𝗰 𝗿𝗲𝗻𝗱𝗲𝗿𝗶𝗻𝗴 → speed 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗿𝗲𝗻𝗱𝗲𝗿𝗶𝗻𝗴 → freshness 𝗖𝗮𝗰𝗵𝗶𝗻𝗴 + 𝗿𝗲𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 → where we balance the two But this abstraction starts to break down at scale. 👉 𝗧𝗶𝗺𝗲-𝗯𝗮𝘀𝗲𝗱 𝗿𝗲𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 (𝗿𝗲𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗲) periodically refetches data This works well when data becomes stale in predictable intervals Think dashboards, blogs, or analytics snapshots 👉 𝗢𝗻-𝗱𝗲𝗺𝗮𝗻𝗱 𝗿𝗲𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 (𝗿𝗲𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗲𝗧𝗮𝗴, 𝗿𝗲𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗲𝗣𝗮𝘁𝗵) flips the model Don't blindly revalidate — react to change In one of our systems, moving from time-based to event-driven invalidation: • reduced redundant fetches significantly • cache behavior became predictable under load This becomes the default once writes are frequent. 👉 𝗙𝘂𝗹𝗹 𝗥𝗼𝘂𝘁𝗲 𝗖𝗮𝗰𝗵𝗲 𝘃𝘀 𝗗𝗮𝘁𝗮 𝗖𝗮𝗰𝗵𝗲 • Full Route Cache → caches the rendered output • Data Cache → caches the underlying fetch calls That separation is powerful: Don't rebuild the entire page — refresh just the data 🧠 𝗠𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆 𝗦𝘁𝗼𝗽 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗶𝗻 𝘁𝗶𝗺𝗲 → 𝘀𝘁𝗮𝗿𝘁 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗶𝗻 𝗲𝘃𝗲𝗻𝘁𝘀 Instead of → “𝘳𝘦𝘷𝘢𝘭𝘪𝘥𝘢𝘵𝘦 𝘦𝘷𝘦𝘳𝘺 𝘟 𝘴𝘦𝘤𝘰𝘯𝘥𝘴” Think → “𝘸𝘩𝘢𝘵 𝘦𝘷𝘦𝘯𝘵 𝘴𝘩𝘰𝘶𝘭𝘥 𝘮𝘢𝘬𝘦 𝘵𝘩𝘪𝘴 𝘥𝘢𝘵𝘢 𝘴𝘵𝘢𝘭𝘦?” ❓Interested to hear how this plays out in write-heavy or multi-region setups. #NextJS #Caching #ReactJS #WebDevelopment #FullStack #JavaScript #SoftwareEngineering #SystemDesign #FrontendDevelopment

Stop using useEffect for data fetching I know, it's the first pattern every React tutorial teaches. But it's also the source of 80% of the bugs I've reviewed in the last year. Here's the problem: useEffect runs AFTER the render. So your component renders empty → fetches → re-renders with data. That's two renders minimum. Plus race conditions, stale closures, and no error boundary support. The alternatives are better in every way: → React Query / TanStack Query → SWR → Server Components (Next.js, Remix) → Even RTK Query if you're already in Redux These give you caching, deduplication, retry logic, loading states, and error handling. useEffect is a synchronization tool. It's for syncing React state with external systems. Not for fetching data. The React docs even say this. It's not controversial anymore. → https://lnkd.in/dRDj4tTG. If you're starting a new project in 2026 and still writing useEffect + fetch inside components, you're choosing the hardest path on purpose. What's your go-to for data fetching? Drop it below 👇

Fetching data is easy. Handling it like a pro is the hard part. 🔄📡 In the early days of React, we all got used to the "useEffect and Fetch" pattern. But as applications grow, simple fetching isn't enough. Modern users expect zero-latency, instant feedback, and seamless synchronization. Whether I'm using Next.js Server Actions or React Query, these are the 3 principles I follow to manage data like a Senior Developer: 1️⃣ Loading States & Skeletons: Never leave your user staring at a blank screen. I use Suspense and Skeleton Screens to provide immediate visual feedback, making the app feel faster even while the data is still traveling. 2️⃣ Caching & Revalidation: Don't waste your user's data or your server's resources. Implementing smart caching (like stale-while-revalidate) ensures that your UI is updated instantly with "stale" data while the "fresh" data fetches in the background. 3️⃣ Optimistic UI Updates: Why wait for the server to say "Success" before updating a Like button or a Todo item? By using Optimistic Updates, we update the UI immediately and roll back only if the request fails. This creates a "light-speed" user experience. The best apps don't just display data—they manage the flow of data effortlessly. What’s your go-to tool for data fetching in 2026? Are you team React Query, or are you moving everything to Next.js Server Actions? Let’s debate! 👇 #ReactJS #NextJS #WebDev #DataFetching #JavaScript #FrontendArchitecture #CodingTips

🚀 Day 15/30 – Lifting State Up (Deep Dive) Struggling to sync data between components? 🤔 Today I learned one of the most important React concepts ⚡ 👉 Lifting State Up Today I learned: ✅ Move state to the closest common parent ✅ Share data via props ✅ Maintain single source of truth 💻 Real Example: function Parent() { const [name, setName] = useState(""); return ( <> </> ); } function ChildInput({ name, setName }) { return ( <input value={name} onChange={(e) => setName(e.target.value)} /> ); } function ChildDisplay({ name }) { return Hello {name}; } 🔥 What actually happens: 1️⃣ User types in ChildInput 2️⃣ setName updates parent state 3️⃣ Parent re-renders 4️⃣ ChildDisplay gets updated value 👉 Both components stay perfectly in sync 💡 Wrong Approach (Common Mistake): ❌ Separate state in each component function ChildA() { const [name, setName] = useState(""); } function ChildB() { const [name, setName] = useState(""); } 👉 This creates inconsistent UI 😵 ⚡ Real Use Cases: Shared form data Cart state across components Filters + product list sync ⚡ Advanced Insight: React enforces one-way data flow 👉 Parent → Child (via props) 🔥 Key Takeaway: If multiple components depend on same data → lift it up. Are you still duplicating state or managing it correctly? 👇 #React #StateManagement #FrontendDevelopment #JavaScript #WebDevelopment

Your dashboard is slow because you're over-fetching. Here's how React Query + pagination fixed it. 📉 I inherited a dashboard that made 50+ API calls on every page load. Users waited 4+ seconds. The fix? Stop fetching what you don't need. Stale-while-revalidate strategy: - Show cached data instantly (stale). - Fetch fresh data in background (revalidate). - User sees something immediately, then updates silently. Prefetching user actions: - Hover over a tab? Prefetch that data. - Mouse over a pagination button? Prefetch next page. - User never waits. Reducing API calls by 60%: - One query for list view (paginated). - One query per detail row (only when expanded). - Combined with query keys that invalidate on mutation. Result: dashboard load went from 4 seconds to under 1 second. Users stopped complaining. Do you use React Query or RTK Query? Why? Let me know below 👇 #ReactQuery #Performance #FrontendDev

If you're copying and pasting the same useState + useEffect logic across multiple components, you need a custom hook. Example — a reusable data fetching hook: ```js function useFetch(url) { const [data, setData] = useState(null); const [loading, setLoading] = useState(true); const [error, setError] = useState(null); useEffect(() => { let cancelled = false; fetch(url) .then(r => r.json()) .then(data => { if (!cancelled) setData(data); }) .catch(err => { if (!cancelled) setError(err); }) .finally(() => { if (!cancelled) setLoading(false); }); return () => { cancelled = true; }; }, [url]); return { data, loading, error }; } // Usage — clean and consistent everywhere const { data: users, loading } = useFetch('/api/users'); const { data: products } = useFetch('/api/products'); ``` Custom hooks keep components focused on rendering and move logic to where it can be tested and reused. #ReactJS #JavaScript #Frontend #WebDevelopment

𝐌𝐚𝐬𝐭𝐞𝐫𝐢𝐧𝐠 𝐒𝐭𝐚𝐭𝐞 𝐋𝐨𝐠𝐢𝐜 & 𝐂𝐑𝐔𝐃 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 ⚛️ Yesterday was about the "comeback," but today is about the "consistency." I spent my session diving into dynamic data management—building a Name Manager that handles full CRUD (Create, Read, Update, Delete) logic. To move from static pages to interactive apps, I focused on these three technical pillars: 🔹 𝐮𝐬𝐞𝐒𝐭𝐚𝐭𝐞 (𝐓𝐡𝐞 𝐌𝐞𝐦𝐨𝐫𝐲): In React, components reset on every render. useState acts as the persistent "brain," allowing the app to remember data even when the UI updates. I practiced using setter functions to trigger re-renders safely. 🔹 .𝐦𝐚𝐩() (𝐓𝐡𝐞 𝐔𝐈 𝐅𝐚𝐜𝐭𝐨𝐫𝐲): This is how we turn raw data into an interface. It loops through an array and transforms strings into interactive components. It’s the engine behind every dynamic list you see online. 🔹 .𝐟𝐢𝐥𝐭𝐞𝐫() (𝐓𝐡𝐞 𝐈𝐦𝐦𝐮𝐭𝐚𝐛𝐥𝐞 𝐃𝐞𝐥𝐞𝐭𝐞): React rule #1: Don't mutate state. Instead of "erasing" data from the original array, I used .filter() to create a brand-new copy. This is the secret to building predictable, bug-free applications. 𝐖𝐡𝐚𝐭 𝐈 𝐢𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐞𝐝 𝐭𝐨𝐝𝐚𝐲: ✅ Create: Added new entries using the Spread Operator [...]. ✅ Read: Rendered a dynamic, real-time list with .map(). ✅ Update/Delete: Built the logic to modify and remove specific items without breaking the state. 𝐓𝐡𝐞 𝐁𝐢𝐠 𝐓𝐚𝐤𝐞𝐚𝐰𝐚𝐲: In React, we don't modify the past; we create a fresh copy of the future! 🚀 #ReactJS #WebDevelopment #JavaScript #FrontendDeveloper #LearningInPublic

Not everything belongs in Redux - learned this the hard way. Early on, I pushed everything into global state: isModalOpen, activeTab, inputValue. My logic: “What if I need it later?” Reality: I almost never did. The real question isn't "should this be global?" It's — who actually needs this data, right now? One component? → useState Multiple siblings? → lift state up Prop drilling hurts? → Context Many unrelated parts? → Redux / Zustand Server data? → React Query. Not Redux. Never Redux. Navigation-related? → URL state. Not state at all. What actually belongs in global state: Auth session. Cart data. App-wide theme. Notifications from anywhere. The pattern - data multiple unrelated parts of your app need right now. Not data you think they might need someday. What taught me this: → Boilerplate for state that changed twice a day → Components impossible to reuse — wired to the store → Tracing a boolean through 6 files just to open a modal The fix was simpler than I expected: Default to local. Escalate only when the pain is real. useState → lift up → Context → Redux → React Query Each step has a cost. Take it only when the problem forces you to. 2.8 years in - this one mental model saved more debugging hours than any library I've ever learned. Do you reach for global state early, or wait until it actually hurts? #React #JavaScript #MERN #FrontendDeveloper #StateManagement #ReactJS #WebDevelopment