Switching to React Query for Data Management

The "Ghost in the API": How I fixed a major rendering lag 👻 While working on a complex user dashboard at Codes Thinker, I encountered a frustrating performance bottleneck. Every time a user triggered a data fetch, the entire UI would "freeze" for a split second before updating. Even with a fast backend API, the user experience felt "heavy" and unprofessional. The Challenge: We were fetching large, nested JSON objects directly inside a parent component. Every time the API responded, the entire component tree re-rendered, causing a visible performance lag during data transformation. The Solution: React Query: I implemented React Query to handle caching. This ensured that if a user requested the same data twice, the result was instant. Data Transformation: Instead of passing the raw "heavy" object to components, I mapped the data into a lighter format immediately after fetching. Optimistic UI: I used Tailwind CSS to create smooth skeleton loaders, making the app feel faster while the data was still loading. The Result: The rendering lag disappeared, and the user experience became fluid. Sometimes, being a Senior Frontend Developer is about knowing when not to fetch data as much as how to fetch it. Have you ever faced a stubborn API lag? How did you tackle it? Let’s share some dev stories! 👇 #RESTAPI #NextJS #PerformanceOptimization #MERNStack #WebDevelopment #CleanCode #ReactJS #TailwindCSS

🔥 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

🚀 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

Stop Writing useEffect for Data Fetching,TanStack Query Does It Better If you're still using useEffect + useState to fetch data in React, you're writing more code than you need to. Here's the honest comparison: With useEffect, you handle: loading state, error state, cleanup, race conditions, refetching on focus, caching... manually. Every time. With TanStack Query, you get all of that out of the box in one hook. The mental model shift is simple: stop thinking about "syncing state" and start thinking about "server state vs client state." TanStack Query was built exactly for server state data that lives outside your app and needs to stay fresh. What you actually get for free: → Automatic background refetching → Request deduplication → Stale-while-revalidate caching → Retry on failure → Pagination & infinite scroll helpers → DevTools built in This isn't about hype it's about writing less boilerplate and shipping more reliable UIs. Your future self (and your teammates) will thank you. #ReactJS #TanStackQuery #ReactQuery #FrontendDevelopment #JavaScript #SoftwareEngineering #CleanCode

Your users are waiting for tasks they'll never see. Here's the fix. 👇 Most devs write POST routes where emails, analytics, and syncs all run before the response is returned. The user sits there waiting — not because the data isn't ready, but because your side-effects are blocking the thread. Next.js 15 ships a built-in after() API. Response fires instantly. Background work runs after. No queues, no infra, no nonsense. ❌ Blocking tasks The user's request hangs until every side-effect (email, analytics, sync) finishes. One slow service delays the whole response — bad UX, worse performance. ✅ after() — fire & forget Response is sent instantly. Background work runs after — no blocking, no extra infrastructure, no queue needed. Works with Server Actions and Route Handlers. #NextJS #NextJS15 #WebDevelopment #JavaScript #TypeScript #100DaysOfCode #CleanCode #FrontendDeveloper #SoftwareEngineer #WebDev #NodeJS #FullStackDeveloper #Programming #ServerActions #BackendDevelopment #ReactServer #APIDesign #WebPerformance

You're not losing data because of a bug. You're losing it because you never cancelled the request. User types "react" in the search box. Changes their mind. Types "vue". Changes their mind again. Types "angular". Three requests fly in parallel. Come back in random order. "react" arrives last. The UI shows the wrong results. The user sees a bug. You can't reproduce it. This isn't a race condition. These are abandoned requests. Where this is happening in your app right now: Search input — every keystroke fires a request. Only the last one matters. Tab switching — user navigated away, fetch is still running in the new component. Infinite scroll — fast scroll, 8 requests queued, data arrives out of order. Unmount — component is gone, setState fires anyway. React stays silent in production. The mistake I see most often: useEffect with fetch and zero cleanup. Not because the developer doesn't know AbortController exists. Because locally requests are fast and everything looks fine. But the user is on mobile. Or 3G. Or just a slow endpoint. And suddenly response order becomes unpredictable. AbortController doesn't make your requests faster. It guarantees a dead request can't write to a live UI. If the user left — the request should leave with them. #Frontend #JavaScript #React #WebDev #TypeScript #Performance #ReactHooks #WebPerformance

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

🚀 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

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