React UI Stuck: useRef vs useState

🚀 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

In this post, I focused on visualizing how data moves within a React application using a Data Flow Diagram (DFD). Understanding data flow allows developers to: • Build more organized and scalable applications • Avoid unnecessary complexity and bugs • Clearly separate logic from UI • Improve maintainability and readability This approach helped me move beyond writing components to truly understanding how data drives the entire application. #React #Frontend #WebDevelopment #JavaScript #SoftwareArchitecture #CleanCode

Can a frontend project demonstrate full-cycle data handling? With Owly, I moved beyond static layouts to build a data-driven profile application that manages real-time information through JavaScript. This project was my playground for mastering how a modern web app consumes data and translates it into a functional user interface. Technical Deep Dive (How it works): 📡 Asynchronous Data Fetching: I implemented API integration using the fetch() API (or Axios) to retrieve user profiles dynamically. This taught me how to handle Promises, manage loading states, and deal with potential network errors. 🧩 Dynamic DOM Injection: Instead of hardcoding content, I developed a logic that parses JSON data and injects it into the DOM. This modular rendering ensures that the UI updates automatically whenever the data source changes. 🛠️ State & Event Logic: I engineered the interactive elements (like social links and action buttons) using custom event listeners. This ensures a reactive experience where user inputs trigger specific logic flows without page reloads. 🧹 Clean Code Architecture: I separated the API logic from the UI rendering. This separation of concerns is a fundamental principle that I later carried over into my React development, making the codebase scalable and easier to debug. Owly represents the moment I transitioned from "making things look good" to "making things work with real-world data." It’s a showcase of how I bridge the gap between backend data and frontend interactivity. Explore the logic here: 👉 GitHub Repo: https://lnkd.in/dJJ8kM6K 👉 Live Demo: https://lnkd.in/dUNHMe4c #JavaScript #WebDevelopment #APIIntegration #AsyncProgramming #FrontendEngineer #SoftwareEngineering #Start2Impact

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

Your React Native screen is not “messy” It’s lying to you. It looks fine. It works. It even gets shipped to production. But the moment you try to change something small, everything starts behaving unpredictably. Why? Because the problem was never visible. I faced this exact situation recently. One screen. Everything inside it. API calls State logic Data transformation UI rendering At first, it felt efficient. One place. Easy to manage. In reality, it was a trap. Every change had side effects. Every bug took longer to trace. Every new feature felt heavier than the last one. That’s when I made a shift most developers avoid. I stopped thinking in screens. I started thinking in layers. I pulled API logic out into a separate layer. Suddenly, external dependencies stopped leaking everywhere. I moved business logic into custom hooks. Now decisions lived in one place instead of being scattered. I stripped the screen down to just UI. No logic. No side effects. Just rendering. And something interesting happened. The same feature that once felt complex became predictable. Not easier. Predictable. That’s the difference between mid-level and senior thinking. You don’t reduce complexity. You control where it lives. If your screen is doing everything, you don’t have a screen. You have a system pretending to be simple. Fix the structure, and everything else starts fixing itself. - UI should only render - Hooks should control logic - Services should handle data This is where real engineering starts.

🚀 Understanding useRef vs useState in React — Simplified! If you're working with React, knowing when to use useRef vs useState can directly impact your app’s performance and rendering behavior. 💡 What is the difference? Both store data across renders—but behave very differently: 🔹 useState → Triggers re-render 🔹 useRef → Does NOT trigger re-render ⚙️ How it works 👉 useState: Stores reactive data Causes component to re-render when updated const [count, setCount] = useState(0); setCount(count + 1); // UI updates 👉 useRef: Stores mutable value Persists across renders Does NOT trigger re-render const countRef = useRef(0); countRef.current += 1; // No UI update 🧠 Real-world use cases ✔ useState: UI state (forms, toggles, counters) Anything that affects rendering ✔ useRef: Accessing DOM (focus, scroll) Storing previous values Managing timers / intervals Avoiding unnecessary re-renders 🔥 Best Practices (Most developers miss this!) ✅ Use useState for UI-driven data ✅ Use useRef for non-visual/mutable values ✅ Use refs to store previous state values ❌ Don’t use useRef when UI needs to update ❌ Don’t overuse state for everything ⚠️ Common mistake // ❌ Wrong approach countRef.current += 1; // UI won't update 👉 If UI depends on it → useState 💬 Pro Insight The real difference is: 👉 useState = Reactive data (triggers render) 👉 useRef = Non-reactive data (no render) 📌 Save this post & follow for more deep frontend insights! 📅 Day 5/100 #ReactJS #FrontendDevelopment #JavaScript #ReactHooks #PerformanceOptimization #SoftwareEngineering #100DaysOfCode 🚀

For the longest time, my pattern looked like this: • useEffect → call API • useState → store data • loading + error states manually handled It worked… until the app grew. Then came the problems: • duplicate API calls • inconsistent loading states • manual caching (or no caching at all) • refetching logic scattered everywhere That’s when I switched to React Query. — What changed? Server state ≠ UI state React Query made this distinction clear. Caching became automatic Data stays fresh without unnecessary refetching. Background updates UI stays responsive while data syncs silently. Built-in loading & error handling No more boilerplate in every component. Refetching is declarative Not tied to lifecycle hacks anymore. — The biggest mindset shift: Stop thinking: “Where should I fetch this data?” Start thinking: “How should this data behave over time?” — Final takeaway: React Query is not just a library. It’s a different way of thinking about data in frontend. And once you get it, going back to useEffect feels… painful 😅 #reactjs #frontend #javascript #webdevelopment #reactquery #softwareengineering

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

🚀 How to Optimize API Calls in React (Simple & Practical Guide) Many React applications don’t feel slow because of UI… They feel slow because of inefficient API calls ⚠️ Let’s fix that 👇 ❌ Without Optimization • Too many unnecessary API calls • Same data fetched again & again • Slow UI & laggy experience • Increased server load ✅ With Optimization • Only required API calls • Cached & reused data • Faster UI response ⚡ • Better user experience 🧠 Best Practices to Optimize API Calls 🧩 1. Fetch Only What You Need → Avoid large payloads ✔ Request only required fields ⚡ 2. Use Caching (React Query / SWR) → Don’t refetch same data ✔ Automatic caching + background updates 🔁 3. Avoid Duplicate Requests → Use global state (Context / Redux) ✔ Prevent repeated API calls ⌛ 4. Debounce & Throttle → Reduce API calls while typing ✔ Best for search & filters 📄 5. Pagination / Infinite Scroll → Load data in chunks ✔ Improves performance & UX ❌ 6. Cancel Unnecessary Requests → Abort previous requests ✔ Saves bandwidth & avoids race conditions 🔗 7. Batch API Requests → Combine multiple calls into one ✔ Faster and efficient 🎯 8. Conditional Fetching → Call API only when needed ✔ Avoid useless requests 🔄 9. Background Refetching → Keep UI fast + data fresh ✔ Show cached data instantly ⚡ 10. Use Proper HTTP Methods → Follow REST best practices ✔ Improves API efficiency 🔥 Real Impact ✔ Faster applications ✔ Smooth user experience ✔ Reduced server cost ✔ Better scalability 💡 Final Thought Optimizing API calls is one of the easiest ways to boost performance without changing your UI. 👉 Which technique do you use the most in your React apps? #ReactJS #FrontendDevelopment #WebPerformance #JavaScript #API #SoftwareEngineering #Developers

🚀 React 18 vs React 19 — The Evolution of Data Fetching (Old vs New Way). 🔯 React has consistently improved the developer experience, and data fetching is one of the best examples of that evolution. If you've worked with React 18, you're probably familiar with this pattern 👇 👉 useState + useEffect + loading + error handling. 1️⃣ Managing multiple states (data, loading, error) 2️⃣ Handling side effects manually 3️⃣ Writing repetitive and verbose code 🔯 React 18 (Traditional Approach) 1️⃣ Data is fetched after the component mounts 2️⃣ UI renders first, then updates with data 3️⃣ Developers must manually handle: 1) Loading state. 2) Error state. 3) Data rendering. 📉 Downsides: 1) More code to write. 2) Reduced readability. 3) Repeated logic across components. 🔯 React 19 (Modern Approach with use() + Suspense) 🟢 React 19 introduces a much cleaner and more declarative way to handle async data. 👉 Key idea: Let React handle asynchronous logic. 1) You create a Promise for your data. 2) The use() hook reads that Promise directly. 3) If data is not ready → React automatically suspends the component. 4) Suspense displays a fallback UI (e.g., Loading...). 📉 Benefits: 1) No need for manual loading state. 2) No useEffect required. 3) Cleaner and more readable code. 4) Built-in async handling. 🧠 Important Note 👉 The use() + Suspense pattern in React 19 is especially powerful when used with: 1) Server Components. 2) Streaming / SSR. 3) Data-intensive. application 💡 Conclusion React 18 laid a strong foundation, but React 19 takes it to the next level: 👉 Less code. 👉 Better performance patterns. 👉 Cleaner mental model. ✅ But that doesn't mean useEffect is gone. You STILL need useEffect for: ⏳ Timer. 🔔 Event Listener's. 🔌 WebSocket Connections. 📊 Analytics Tracking. 🎧 Subscriptions. 🧹Clean-Up Logic. 💬 Have you tried this in your project? 💬 React 18 or 19 — what are you using? #ReactJS #FrontendDevelopment #WebDevelopment #JavaScript #React18 #React19 #CodingLife #SoftwareDeveloper #ReactHooks #ModernReact #DeveloperJourney #TechContent