React State Stale Issues: Using Refs for Synchronous Access

You call setState. You immediately log the value. It prints the old state. React is broken? No. Most developers misunderstand how React state updates actually work. React state isn’t truly asynchronous. It’s batched. It’s scheduled. And it re-renders after your function finishes. That’s why it feels async. I broke it down visually — step by step 👇 (With diagrams + interview explanation) https://lnkd.in/eHbnJ63p React Confusion Series — Part 1 #react #javascript #frontend #webdevelopment

A mental model while working with React ⚛️ • useState → small & simple state • 4–5+ related states → move to useReducer • Shared state + logic → Context + useReducer (keep Context small & focused) • State needed in one place? Keep it local. Use composition to stay clean. • Persistent UI state (filters, pagination) → store in the URL • Passing functions deep? useCallback helps avoid unnecessary re-creations • 100+ lines in a component? Split it. But don’t create micro-components for one-liners unless they’ll grow • Page-specific components → keep inside that page folder. Reusable → move global • Build functionality first. If used in 2+ places, extract it • Prefer React’s native tools before adding libraries • For large forms, ref can reduce re-renders — but often a form library like react-hook-form makes life easier React Query & Zustand are great assistants — but not replacements for fundamentals. Simple rule: Scale your state management with complexity, not hype. #React #Frontend #WebDevelopment #SoftwareEngineering

Most React applications start fast… but gradually become slow as the project grows. In many cases, the issue isn’t React itself — it’s how the application architecture evolves over time. After working on several large-scale web applications, I’ve noticed a few patterns that consistently lead to performance problems. Common reasons React apps become slow: 1️⃣ Unnecessary re-renders Components re-render more often than needed because of improper state management or missing memoization. 2️⃣ Large JavaScript bundle sizes As features grow, dependencies increase and the bundle becomes heavier, affecting initial load time. 3️⃣ Poor component architecture When components become too large or tightly coupled, updates propagate through the component tree and trigger excessive renders. 4️⃣ Overusing global state Storing too much data in global state (Redux, Context, etc.) can cause multiple components to re-render unnecessarily. 5️⃣ Lack of code splitting Without dynamic imports or lazy loading, users download the entire application upfront. 6️⃣ Unoptimized assets and images Large images and uncompressed assets significantly increase loading time. What usually works well in production applications: ✔ Break large components into smaller reusable units ✔ Use memoization techniques when appropriate ✔ Implement code splitting and lazy loading ✔ Keep state as local as possible ✔ Continuously monitor performance using profiling tools Performance issues rarely appear at the beginning of a project. They usually emerge as the codebase scales and architectural decisions accumulate. Optimizing performance is less about quick fixes and more about thoughtful architecture and continuous monitoring. What performance challenges have you faced while building React applications? #ReactJS #FrontendDevelopment #WebPerformance #SoftwareEngineering #JavaScript #NextJS

Couldn't post yesterday because the day flew by implementing what I learned — and it felt amazing! Yesterday's deep dive: Edge collections & indexing. Edge collections store the relationships (like "follows" or "likes" between users/posts). I created follow and like features — super powerful for social features! Then indexing. Today: Integrated my backend with the React frontend + studied React architecture for better organization. I'm following a clean 4-layer mental model: UI Layer — Pure rendering (components & pages folders only handle display & structure). Hooks Layer — Custom hooks for reusable logic (e.g., data fetching, state handling). State Layer — Managing local/global state (useState, useReducer, Context, etc.). API Layer — Dedicated code for backend communication (axios calls, API services/utils). This keeps my code clean, scalable, and easy to maintain — UI folders stay focused on visuals, while API logic lives separately. No more messy components doing everything! Building consistency one day at a time. Feeling motivated seeing real features come together. What's your favorite way to structure React apps — feature-based, atomic design, or something else? #BackendDevelopment #ReactJS #FullStackDevelopment #LearningInPublic #WebDevelopment #DatabaseOptimization #CodingJourney

𝐌𝐨𝐬𝐭 𝐟𝐫𝐨𝐧𝐭𝐞𝐧𝐝 𝐜𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲 𝐢𝐬𝐧’𝐭 𝐚𝐛𝐨𝐮𝐭 𝐔𝐈. 𝐈𝐭’𝐬 𝐚𝐛𝐨𝐮𝐭 𝐬𝐭𝐚𝐭𝐞. You can build beautiful components, optimize performance, and structure clean layouts. But once applications grow, the real challenge becomes managing how data changes over time. New Substack article is live ✍️ “𝐇𝐨𝐰 𝐭𝐨 𝐓𝐡𝐢𝐧𝐤 𝐀𝐛𝐨𝐮𝐭 𝐒𝐭𝐚𝐭𝐞 𝐢𝐧 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬” In this piece, I explore: 1️⃣ what state actually means in modern frontend apps 2️⃣ the difference between local and global state 3️⃣ why duplicated state creates subtle bugs 4️⃣ how derived state simplifies systems 5️⃣ and why good state architecture makes UIs predictable Because at its core, frontend development is about one thing: 𝐌𝐚𝐤𝐢𝐧𝐠 𝐭𝐡𝐞 𝐔𝐈 𝐫𝐞𝐬𝐩𝐨𝐧𝐝 𝐜𝐨𝐫𝐫𝐞𝐜𝐭𝐥𝐲 𝐭𝐨 𝐜𝐡𝐚𝐧𝐠𝐢𝐧𝐠 𝐝𝐚𝐭𝐚. 🔗 Read it here: https://lnkd.in/gssQYgw7 Curious — what state management mistake taught you the most in your frontend journey? #FrontendEngineering #JavaScript #WebDevelopment #SoftwareEngineering #ReactJS

Why your UI library shouldn’t be a "black box" in node_modules. I recently completed a total rewrite of AgnosticUI to align with modern Web Standards. Beyond moving to a unified Lit core, the biggest shift was architectural: moving to a Source-First model. Most component libraries live in your node_modules. You don't own the code, you can't easily customize the internals, and LLMs often struggle to "see" the hidden APIs, leading to hallucinations. By moving the UI source directly into the local project workspace: ✦ AI-Native: LLMs can read and refactor your components because the source is local. ✦ Total Ownership: You own the diff. No more fighting "black box" dependencies. ✦ Framework Agnostic: One core powering React, Vue, Svelte, and Lit via CSS Custom Properties. I wrote a deep-dive post-mortem on this migration for Frontend Masters, covering the hurdles of Shadow DOM accessibility, Form Participation, and why I’m sticking with @lit/react for DX despite React 19’s native support. I’ll drop the full breakdown and the project link in the first comment! #WebComponents #DesignSystems #GenerativeAI #SoftwareArchitecture #Frontend

Frontend devs, we need to rethink how we handle state. Here is a thought that might feel a bit uncomfortable! Most of the state we manage on the frontend should not exist. For a long time, we built apps assuming the UI owns the data. So we fetch it, store it, and try to keep everything in sync It works at first, But as the app grows, cracks start to show, 1. You see stale data 2. You repeat the same fetching logic 3. You spend time fixing sync issues instead of building features The real problem is the mental model We treat the frontend as the source of truth When in reality, the server is The frontend should simply reflect server data, not own it Once you shift to this way of thinking, things get simpler, 1. Less state to manage 2. Fewer bugs 3. Better consistency This is exactly why modern patterns are moving this way, 1. Server components 2. Streaming UI 3. Smarter data fetching layers A small takeaway Next time you are about to store API data in state, pause, Do you actually need to store it? Or can you rely on a better data flow from the server? Curious how others are approaching this Are you still managing most of your state on the client, or moving away from it #Frontend #React #JavaScript #WebDevelopment #SoftwareEngineering

Day 22: Shifting the Paradigm – Why React? ⚛️🏗️ Today marks a fundamental shift in the journey. Moving beyond standard DOM manipulation, we’re now thinking in Components and State. It’s not just about building a website; it’s about building a scalable, high-performance system. The "Crack-It Kit" Checklist: Day 22 📑 🔹 Why React?: Understanding the power of Declarative UI over Imperative logic. We tell React what we want the UI to look like, and the engine handles the how. 🎯 🔹 The Virtual DOM: Solving the "DOM Bottleneck." Using a memory-based blueprint to batch updates and prevent expensive browser reflows. 💎 🔹 Reconciliation & Diffing: The "Search & Replace" of UI. Learning how React’s algorithm surgically updates only what’s necessary. 🔄 🔹 React Fiber: Mastering the "Scheduler." How React breaks down rendering work into units to keep the main thread free and the UI responsive. ⚙️ 🔹 Hydration & Mounting: The transition from a static shell to an interactive application—the "spark" that brings server-rendered content to life. 💧 🔹 React DOM vs. Native: Exploring how the same logic can power both the web and mobile ecosystems. 🌍 We’re no longer just writing code; we’re architecting an experience. The focus has moved from "Steps" to "State." 🚀 #ReactJS #WebDevelopment #CrackItKit #FrontendEngineering #CodingJourney #SoftwareArchitecture #TechInterviews #MERNStack #RajSinghDev #WanderlustProject