React API Handling Best Practices with TanStackQuery

Building production-grade apps is easy. Maintaining them is the hard part. 🛠️ I’ve spent the last few months codifying my "non-negotiables" into a single, open-source repository. It’s not just a list of best practices—it’s a rigorous framework for building high-performance, predictable frontend applications. Why? Because in an era of AI-assisted coding, standards are your only safeguard against technical debt. Here’s a look at what I’ve baked into these Master Standards: 🟢 Vue 3 Master Standards Strict Reactivity: Mandatory <script setup> and a total ban on the Options API. Predictable Lifecycle: API calls are locked into onBeforeMount to ensure data is ready before the DOM builds. Performance: Native use of Map and Set for $O(1)$ data handling. 🔵 React 18/19 Master Standards Modern unwrapping: Leveraging the new use() hook for declarative data fetching. Stability: Strict useReducer patterns for complex state and useActionState for form integrity. SDET-Level Testing: Behavioral testing only—we test what the user sees, using screen.getByRole. 🚦 The "AlexOp" Global Layer Clean Tooling: Biome/OXC for blazing-fast linting and Commitlint for a readable git history. Vite Optimization: Specific rules for dynamic asset bundling to avoid build-time "gotchas." I built this to act as my own "Senior Peer Review" for every project I touch. I’m opening it up today for the community to use, critique, and improve. 🔗 Explore the full standards. Link in the description I’d love to hear from the experts: What is the one rule in your codebase that is absolutely non-negotiable? #FrontendArchitecture #VueJS #ReactJS #CleanCode #WebDevelopment #OpenSource

To my fellow React Devs, Stop making data fetching harder than it needs to be. 🛑 If you aren't using TanStack Query (React Query) yet, you aren’t just writing more code - you’re actively choosing to suffer. Here is exactly what you’re missing out on: ✨ Built-in Sanity: Stop manually toggling isLoading and isError. It’s done for you. 🚀 Lightning Speed: Automatic caching means your app feels like it’s running on jet fuel, not a dial-up modem. 🛠️ Predictability: Your team finally stops inventing 10 different ways to fetch data. If you’re building a tiny project? Sure, keep it simple. Don't bring a bazooka to a knife fight. But for anything else? React Query is a total sanity saver. Writing your own logic to sync server state is like trying to reinvent the wheel - except your wheel is square and occasionally breaks your app. Save your energy for building actual features. #ReactJS #WebDev #Javascript #Frontend #Programming #TanStack

🚨 Production bug solved today! Users kept seeing: “You need to enable JavaScript to run this app.” …but JavaScript was fine, the app was built correctly, and the server was running. After hours of debugging, I realized the root cause wasn’t the frontend—it was the backend. Our server was returning index.html for API requests. Example: GET /api/master/ulbs Response: HTML instead of JSON ✅ 200 OK The frontend silently failed. DevOps takeaway: 1.Route API requests first 2.Serve static files next 3.Only use SPA fallback for non-API routes One line fixed it all: ---------------------------------------- app.get(/^\/(?!api).*/, (req, res) => { res.sendFile(index.html); }); ----------------------------------------- Lesson: a 200 OK doesn’t always mean “working.” Server misconfiguration can silently break apps in production. #DevOps #WebOps #ProductionReady #NodeJS #ReactJS #SPA #BackendTips #Deployment #Debugging #Reliability #WebDevelopment #learningBydoing

🚀 React Developer, 𝘁𝗵𝗶𝘀 𝗰𝗵𝗮𝗻𝗴𝗲𝘀 𝗵𝗼𝘄 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸 𝗮𝗯𝗼𝘂𝘁 𝗱𝗮𝘁𝗮 𝗳𝗲𝘁𝗰𝗵𝗶𝗻𝗴. If you’re building modern apps with Next.js Server Components, you 𝘯𝘦𝘦𝘥 to know about React’s `use()` hook. ✨ 𝗦𝗶𝗺𝗽𝗹𝗲 𝗰𝗼𝗱𝗲. 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗿𝗲𝘀𝘂𝗹𝘁𝘀. No more `useEffect`, loading flags, or juggling async state just to show data on the screen. ✨ 𝗧𝗵𝗲 𝗻𝗲𝘄 𝘄𝗮𝘆 𝗶𝘀 𝗯𝗲𝗮𝘂𝘁𝗶𝗳𝘂𝗹𝗹𝘆 𝘀𝗶𝗺𝗽𝗹𝗲: ```js const user = use(fetchUser()); ``` ``` // app/page.js (Server Component by default) import { use } from "react"; async function fetchUser() {  const res = await fetch("https://lnkd.in/dkgpikZk");  return res.json(); } export default function Page() {  // React waits for the data before rendering  const user = use(fetchUser());  return (   <div>    <h1>{user.name}</h1>    <p>{user.email}</p>   </div>  ); } ``` That’s it. No orchestration. No noise. ⚡ 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗳𝗲𝗲𝗹𝘀 𝗹𝗶𝗸𝗲 𝗺𝗮𝗴𝗶𝗰 ✅ Data is already resolved when you use it ✅ Components stay clean and UI-focused ✅ Suspense handles loading states automatically ✅ Faster, smoother rendering with streaming + SSR in Next.js 💡 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗺𝗮𝘁𝘁𝗲𝗿𝘀 Great react.js code isn’t about writing 𝘮𝘰𝘳𝘦 logic — it’s about writing 𝘭𝘦𝘴𝘴 of it. `use()` pushes us toward clearer, more scalable components and a dramatically better developer experience. If you care about clean architecture, performance, and future-proof React, this is a pattern worth mastering. #React #Nextjs #WebDevelopment #JavaScript #Frontend #Programming #bhadreshpithwa #webdeveloperguide

🚀 Routes vs Route Handlers in Node.js If you’re working with Node.js, understanding the difference between Routes and Route Handlers can make your backend code cleaner and easier to scale. 🔹 Routes Routes define WHAT URL your application responds to and which HTTP method is used. Example: GET /users POST /login Think of routes as entry points to your application. 🔹 Route Handlers Route handlers define WHAT HAPPENS when a route is hit. They contain the actual logic: Reading request data Talking to the database Sending a response 💡 Simple analogy Route = Door number Route Handler = What happens after you enter the door 📌 Best Practice Keep routes clean and move business logic into separate handler/controller functions. This improves: ✅ Readability ✅ Maintainability ✅ Testability Clean separation = scalable Node.js apps 🚀 #NodeJS #BackendDevelopment #JavaScript #APIs #WebDevelopment

I’ve been diving deeper into backend development, and I’m excited to share my latest project. It’s a fully functional Contact Manager that handles CRUD operations seamlessly. 🛠️ The Tech Stack: Backend: Node.js & Express.js for a robust server architecture. Database: SQLite for lightweight, reliable data persistence. Frontend: HTML, CSS, and JavaScript for dynamic DOM manipulation and API integration. 💡 Key Features: RESTful API implementation (GET, POST, DELETE). Real-time UI updates without page reloads. Clean code structure separating routes, server logic, and frontend assets. Check out the demo video below to see it in action! I’d love to hear your feedback or suggestions for improvement. 👇 #NodeJS #ExpressJS #WebDevelopment #FullStackDeveloper #JavaScript #Coding #Portfolio #SoftwareEngineering

React Deep Dive – Day 7 Today I focused on server state vs UI state, and why mixing the two usually leads to subtle bugs. What I revisited today: 1. Server state represents data that comes from an external source (API, DB) 2. UI state represents how the user is interacting with that data 3. Server state has its own lifecycle: loading, error, stale, refetch 4. Treating server data like local state often leads to duplication and drift In practice: 1. API data should be the single source of truth 2. UI concerns (filters, selection, pagination state) stay local 3. Refetching should be driven by intent, not by UI side-effects 💡 My takeaway: When server state and UI state are clearly separated, the app becomes easier to reason about — especially when async behaviour enters the picture. Continuing this React Deep Dive, focusing on mental models that prevent bugs before they happen. On to Day 8. #ReactJS #FrontendDevelopment #JavaScript #ServerState #LearningInPublic

Is React "Sherlocking" its own ecosystem? We are hearing rumours about React 20 (expected late 2026) and the "TanStack-ification" of the core library. The speculation? That React will officially adopt the opinionated data-fetching patterns that we’ve all come to love in TanStack Query or React Query. If you look at the trajectory from React 18 to 19, this isn't surprising. React 19 already gave us the primitives: 🔹 The "use()" API for unwrapping promises in render. 🔹 The "cache()" API for memoising requests (currently server-focused). It seems the days of manually handling isLoading and race conditions inside a useEffect are finally numbered. React isn't just a UI library anymore; it is slowly becoming a full-stack architecture standard. The "primitive" is becoming the "solution." What do you think? Are you ready for opinionated data fetching to be baked into React, or do you prefer the flexibility of third-party tools? #ReactJS #WebDevelopment #Frontend #JavaScript #SoftwareEngineering #TechTrends

Ever encountered a memory leak in Node.js that feels like finding a needle in a haystack? Here's one that baffled me recently. Imagine a scenario where your Node.js app keeps hogging more memory over time. Despite your best debugging efforts, you can’t pin down the culprit. One potential sneaky devil? EventEmitter's 'max listeners' in your async workflows. Here's the setup: You've got an event-based system where listeners are dynamically added within async functions. But every time the async block runs, a new listener is added without removing the old ones. Over time, these accumulate silently, causing memory bloat. Here's a minimal example: ```javascript const EventEmitter = require('events'); const emitter = new EventEmitter(); async function fetchData() { emitter.on('data', dataHandler); // Fetch some data... // Don't forget to clean up! emitter.removeListener('data', dataHandler); } function dataHandler(data) { console.log(data); } ``` The oversight? Forgetting to remove listeners. If the `removeListener` isn't there, your listeners will multiply like rabbits. Why's it hard to spot? The leak creeps up slowly and doesn’t trigger immediate alarms. You might only notice when your server starts begging for more memory. How do we avoid this? Always ensure that listeners are deregistered after use, especially in loops or async operations. Alternatively, use `once()` if the listener is intended to run a single time. Memory issues are always a pain, but knowing where to look is half the battle. Have you wrestled with similar memory gremlins? Share your stories or tips below! #JavaScript #NodeJS #MemoryLeak #JavaScript #NodeJS #MemoryLeak

So, backpressure is a thing. It's like when you're trying to drink from a firehose - too much water, not enough time to swallow. In JavaScript, this happens when a producer (like a network request or file reader) is making data faster than the consumer (like parsing JSON or writing to disk) can handle. It's a problem, right? I mean, if the producer is too fast, the data just piles up in memory, and that can crash your app. But, it's not all bad - backpressure is actually a feature that helps your app handle large data or many requests without crashing. It's like a speed limit on the data highway. Here's the deal: in Node.js streams, the Fetch API, and Web Streams, backpressure is built-in. But, it's easy to ignore the signals - and if you do, your app will break when the data gets big. So, what's the solution? You need to respect the signals, use the write() return value, drain events, and pull() in Web Streams. And, bound your concurrency with worker pools or limited queues - it's like putting a governor on the data engine. Backpressure is not something to be afraid of, it's something to be understood. It's a tool that helps you write better code, code that can handle the big data, the many requests. And, it's not just about fixing a problem, it's about making your app more robust, more reliable. So, next time you're working with async/await, Promises, and streams in JavaScript, remember: backpressure is your friend. It's the hidden force behind streams, fetch, and async code - and it's what keeps your app from crashing under the pressure. Check out this article for more info: https://lnkd.in/gtTRJZdY #backpressure #asyncprogramming #webscrapping #nodejs #webdevelopment #softwareengineering #coding #programming #innovation #strategy #creativity