74% of developers still default to client-side rendering with Next.js 15. But should they? Next.js 15 has introduced server components, a significant shift in how we think about rendering and state management. Are we witnessing the twilight of client-side rendering, or is this just another tool in our developer toolkit? From my experience, server components are a game-changer for performance. They allow us to offload work to the server, minimizing the client’s load, which can drastically improve page load times. However, it's not a silver bullet. Server components come with challenges, like figuring out how to manage state and how to optimize server resources effectively. Here's a small TypeScript snippet to illustrate how you can fetch data within a server component: ```typescript import { fetch } from 'next/server'; async function ServerComponent() { const data = await fetch('/api/data'); return ( <div> <h1>Data from Server</h1> <pre>{JSON.stringify(data, null, 2)}</pre> </div> ); } ``` I recently used AI-assisted development to prototype server components quickly. It’s incredible how AI coding tools can speed up development, allowing me to focus on optimizing and refining. So, are we looking at a future where client-side rendering is obsolete, or will it continue to play a critical role in our apps? Have you tried server components yet? How do you see them fitting into your development workflow? #WebDevelopment #TypeScript #Frontend #JavaScript
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Raw JSON is messy. I created something to fix it. I deployed my first project: the Universal API Engine. It’s a client-side tool that takes disorganized endpoint data and quickly turns it into a clear, searchable interface. Live Demo: https://lnkd.in/gRUV8HBj Source Code : https://lnkd.in/giuVkPvs I wanted to fully understand the DOM and network requests. So, I built this with no dependencies. It’s all in pure HTML5, CSS3, and Vanilla JavaScript. What it handles right now (v1.0): - Deep-value filtering (searches every nested object, not just top-level). - Interactive nested data exploration. - Persistent session history via LocalStorage. - Fully responsive layout with a custom dark/light theme. What’s next: Currently, it only processes textual JSON. The v2.0 roadmap includes support for multiple formats to handle raw binary data, meaning it will display images, audio, and video directly from the endpoints. Since this is my first deployment, I know the code has some flaws. There are definitely UI/UX issues hiding in there. I want to stress test this tool. Try it out, throw a huge JSON endpoint at it, and let me know where it breaks. I’m looking for honest feedback, bug reports, and tips on how to improve it. #VanillaJS #WebDevelopment #Frontend #Engineering #APIs #ChaiAurCohort #ChaiAurCode #chaiaurcode #learninginpublic
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🤯 Ever hit “Update”… and your UI still shows OLD data? I thought my API was broken. User clicks: 👉 Update Profile API responds: 👉 Success ✅ But the UI? 👉 Still showing old values 😬 I refreshed the page… 👉 Now it’s correct. So what actually happened? ⚠️ It wasn’t the backend issue. It was frontend state issue. Here’s the truth most devs learn the hard way: Updating data ≠ Updating UI Common culprits: 👉 State not updated correctly 👉 Cached data still hanging around 👉 Async updates causing lag 💥 Result: Your backend is right… …but your UI is lying. 💡 The Fix? : ✔️ Update state instantly (Optimistic UI) ✔️ Refetch after mutation ✔️ Invalidate cache properly (RTK Query / React Query) 🔥 After fixing: ✔️ UI updates instantly ✔️ Users trust the system ✔️ App feels FAST & reliable 🧠 Real lesson: A perfect API means nothing if your UI tells a different story. 💬 Tell me... Have you ever debugged this “ghost data” bug? #frontend #reactjs #webdevelopment #javascript #stateManagement #rtkquery #reactquery #softwareengineering #programming #developers
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🚀 React Series Part 10: Custom Hooks - Reuse Logic Like a Pro So far, we’ve used built-in hooks like useState, useEffect, useMemo. But what if you want to reuse logic across components? 🤔 👉 That’s where Custom Hooks come in 💡 💡 What are Custom Hooks? Custom Hooks are just JavaScript functions that use React hooks internally. 📌 Rule: 👉 Must start with use (naming convention) 🔥 Why do we need them? Imagine writing the same logic in multiple components: • API calls • Form handling • Event listeners ❌ Leads to duplication ❌ Hard to maintain ✅ Custom Hooks solve this 🔧 Example: Reusable Counter Logic function useCounter(initialValue = 0) { const [count, setCount] = useState(initialValue); const increment = () => setCount(c => c + 1); const decrement = () => setCount(c => c - 1); return { count, increment, decrement }; } 👉 Using it in a component: const { count, increment, decrement } = useCounter(); 💡 Real-world Example: API Fetching function useFetch(url) { const [data, setData] = useState(null); useEffect(() => { fetch(url) .then(res => res.json()) .then(setData); }, [url]); return data; } 👉 Now reusable across components 🚀 🔁 What’s happening internally? • Each component gets its own isolated state • Logic is shared, not the data • Cleaner and more modular code ⚠️ Best Practices ✔ Keep hooks focused (single responsibility) ✔ Avoid too much abstraction ✔ Handle loading/error states in real apps 🧠 Simple takeaway Custom Hooks = Reusable logic 🧩 Components = UI layer 🎨 Let’s keep going 🚀 #ReactJS #Learning #frontendDev
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🚀 From Idea to Interface—Progress You Can See. #Day2 of building DataVault—and today’s milestone feels real. Alhamdulillah, I’ve successfully converted the entire UI into working code using React and Tailwind CSS. What started as a concept is now a fully functional front-end with a working dashboard. 💻 What’s done: • Complete UI implementation using React + Tailwind CSS • Clean, responsive design now fully interactive • Dashboard functionality is up and running smoothly This is a big step—because now DataVault isn’t just an idea or a design… it’s something you can actually use. 🔐 What’s next: My next focus is implementing authentication to make the platform secure and accessible for real users. The goal is to ensure anyone can safely use DataVault to manage their data with confidence. ⏳ The 7-Day Challenge continues… I’m confident that within the next 2 days, this will evolve into a fully working application. 🤝 I’d love your input: If you have suggestions, features you’d like to see, or feedback—please share. Your insights can help shape this into something truly valuable. Let’s keep building in public. Day 7 is getting closer. 🚀 #BuildInPublic #WebDevelopment #ArtificialIntelligence #SaaS #ReactJS #TailwindCSS #JWT #DataSecurity #Developers #TechJourney #NodeJS #Typescrit #JavaScript #vercel #framermotion
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You’re still building forms manually from JSON? --- Every time I get a JSON response, I end up doing the same thing: → read structure → map fields → wire inputs → repeat… again --- It’s boring. It’s repetitive. And it shouldn’t exist in 2026. --- So I built something for myself: 👉 Paste JSON 👉 Get a working form instantly --- No setup. No backend. No config headaches. Just: JSON → UI --- Introducing: 🔧 JSON → Form (part of useSignal) 👉 https://lnkd.in/grSx-SEi --- It’s fully browser-native. Which means: - your data never leaves your machine - everything runs instantly - no dependency on any service --- This isn’t just a generator. It’s a way to: → skip repetitive UI work → prototype faster → actually focus on logic --- Try it once. You probably won’t go back to building forms manually. --- 💬 Curious — how are you handling JSON → forms today? #frontend #webdevelopment #javascript #reactjs #devtools #buildinpublic #productivity #developers #webdev
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Await breaks more than control flow. It also breaks the illusion that a multi-step update is still “one update.” In my latest article, I walk through how I implemented async transactions for a signal-based runtime: - batch updates across await - flush effects exactly once - keep computed lazy - preserve the original mental model #WebDevelopment #Javascript #Typescript #Frontend #Reactive #SystemDesign #Signal #StateManagement #dataflow
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New article from my Signals series. Signals integrate nicely with React—until you hit edge cases. In this article, I walk through subtle but critical pitfalls: - why stale closures happen in async callbacks - how manual subscriptions break tear-free guarantees - why computed may stop reacting - and how mixing state sources leads to inconsistent UI Along with concrete fixes aligned with React's Concurrent rendering model. #React #WebDevelopmenet #Javascript #Typescript #Signals #Frontend #Reactivity #State
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🤯 I wrote an article about why you don't need useEffect (like the docs). Then I turned it into an AI skill that enforces it automatically 👇 Every time I post a React code snippet, someone tells me I shouldn't use useEffect there. And every time, someone else argues I should. So I wrote the definitive guide. One question decides everything: is this syncing with an external system? If the answer is no, there's a better alternative for every case: 1️⃣ Transforming data? Just calculate it during render. The useEffect version renders with stale data first, then re-renders with the correct data. Two passes for something that could be zero. 2️⃣ Resetting state on prop change? Use the key prop instead of watching props in an effect. React unmounts the old component and mounts a new one, automatically resetting all state, including child components you forgot about. 3️⃣ Chaining effects? When selecting a country triggers an effect that resets the city, which triggers another effect that resets the district, you get three re-renders painting intermediate states nobody needs. Move all downstream resets into the event handler that started the chain, and React batches them into a single render. 4️⃣ Fetching data? useEffect works here, technically, since the network is an external system. But you'll need to handle race conditions, caching, deduplication, and background revalidation yourself. At that point you've built TanStack Query, so just use TanStack Query. 5️⃣ Subscribing to an external store? useSyncExternalStore prevents tearing during concurrent renders, something your useEffect version won't catch until your app gets complex enough for React to split work across frames. I also packaged the full decision tree as a Claude Code skill. Two commands to install, and it forces the AI to ask the same question you should be asking before every useEffect. The article covers the ESLint plugin for catching these patterns mechanically too, which is honestly more useful long-term than any article because it keeps working after the person who read this leaves the project. Link to the full article in the comments 👇 Are you still reaching for useEffect by default, or have you already trained yourself out of it? #React #JavaScript #WebDev #CleanCode #TanStackQuery
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Angular performance is moving from: Zone.js + full change detection → Signals + fine-grained reactivity --- Traditional approach: → Zone.js triggers change detection for every async event → Angular checks large parts of the component tree → Even unaffected UI gets re-evaluated OnPush improved this: ✔ Limits checks based on input/reference changes ✔ Reduces unnecessary re-renders But it still works within the same model. --- Signals change the model itself. → State is reactive by default → Only dependent parts update → No need to traverse the full component tree --- Signals vs RxJS: → RxJS is ideal for async streams (APIs, events) → Signals are better for local, synchronous state Using RxJS for simple UI state often adds unnecessary complexity. --- Signal-based APIs simplify components: → "input()" replaces "@Input" + "ngOnChanges" → "model()" replaces two-way binding boilerplate → "output()" simplifies event emission → "viewChild()" becomes reactive without lifecycle hooks --- Interop matters in real apps: → "toSignal()" → Observable to Signal → "toObservable()" → Signal to Observable You don’t replace RxJS — you integrate with it. --- Performance impact: → Updates are localized → No unnecessary change detection cycles → No subscription overhead for local state → More predictable rendering --- Where Signals don’t fit: → Complex async workflows → API streams → Event-heavy pipelines That’s still RxJS territory. --- Key takeaway: OnPush optimized Angular. Signals redefine how updates happen. The shift is from: “Trigger and check everything” to: “React only where needed” That’s where real scalability comes from. How are you balancing Signals and RxJS in your apps?
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🚀 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
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