2025 JavaScript Survey: TypeScript Gains Popularity, Developers Seek Simplicity

🚀 JavaScript Error Handling Might Change Soon! Most JavaScript developers use try...catch every day. It works, but in real-world projects it often creates some common problems: ⚠️ Block scope limitations ⚠️ Too much boilerplate code ⚠️ Nested try/catch blocks 😵 ⚠️ Harder composition in async workflows Now there is an interesting TC39 Stage-1 proposal exploring a new idea — the JavaScript try operator. Instead of writing big try...catch blocks, errors could be converted into structured values directly inside expressions. Example 👇 const { ok, error, value } = try await fetch("/api/users") Or even this 👇 const [ok, fetchErr, res] = try fs.readFileSync("data.txt") ✨ This looks much cleaner ✨ Less nesting ✨ Easier async error handling ✨ More composable code This pattern is similar to error handling approaches used in Rust 🦀 and Go 🐹, where errors are treated as normal values instead of exceptions. I wrote a detailed blog explaining everything: 📌 How the TC39 process works 📌 Why try...catch becomes messy in large applications 📌 How the try operator proposal works 📌 Real examples and practical use cases 🔗 Read the full blog here: https://lnkd.in/gZkDbMjd 💬 Curious to hear from other developers: Would you use a try operator in JavaScript if it becomes part of the language? 🤔 #javascript #webdevelopment #programming #frontend #nodejs #softwareengineering #reactjs #nextjs #TC-39

🚀 React 19: RIP forwardRef! If you’ve ever struggled with the awkward syntax of forwardRef, I have great news. React 19 has officially simplified how we handle Refs. Now, ref is just a standard prop. No more wrapping your components in Higher-Order Components just to access a DOM node. 🛑 The "Old" Way (React 18) You had to wrap your entire component, which messed up your component definition and made TypeScript types a nightmare to write. JavaScript // Complex and boilerplate-heavy const MyInput = forwardRef((props, ref) => { return <input {...props} ref={ref} />; }); ✨ The React 19 Way (Clean & Simple) Just destructure ref from your props like any other value. It’s cleaner, more readable, and much more intuitive. JavaScript // Just a normal functional component! function MyInput({ label, ref }) { return ( <label> {label} <input ref={ref} /> </label> ); } 📊 Quick Comparison: Why this matters FeatureReact 18 (Old)React 19 (New)Passing RefsforwardRef((props, ref) => ...)Standard prop: ({ ref }) => ...DXHigh friction / boilerplateZero friction / NaturalTypeScriptforwardRef<HTMLButtonElement, Props>interface Props { ref: Ref<HTMLButtonElement> }🔥 Bonus Feature: Ref Cleanup Functions React 19 also solved a long-standing issue with third-party libraries (like D3, Google Maps, or Canvas). You can now return a cleanup function directly from a ref callback! JavaScript <div ref={(node) => { if (node) { console.log("DOM Node added"); // Initialize your 3rd party library here } return () => { console.log("Cleanup time!"); // Destroy library instance to prevent memory leaks }; }} /> 💡 Why we love this: Less Boilerplate: Your component tree stays flat and readable. Better TypeScript Support: No more guessing where to put the Generic types. Memory Safety: Native cleanup for DOM-attached libraries without needing an extra useEffect. React 19 is clearly focusing on making the "Developer Experience" as smooth as possible. Are you still using forwardRef, or are you ready to refactor? 👇 #ReactJS #React19 #WebDevelopment #Frontend #JavaScript #CleanCode #ProgrammingTips #SoftwareEngineering

𝗠𝗼𝘀𝘁 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 𝗰𝗼𝗺𝗽𝗹𝗮𝗶𝗻 𝗮𝗯𝗼𝘂𝘁 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁'𝘀 "𝗾𝘂𝗶𝗿𝗸𝘀" 𝗶𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗶𝘁𝘀 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲. I used to be one of them. I treated its type coercion and prototype chains as flaws, wishing it was strict like Java or elegant like Python. But as I started engineering more complex React applications and scalable UI architectures, I realized I needed to truly master the engine running the web. JavaScript isn't broken. It’s a highly optimized language built specifically for a chaotic environment. When you fight its design, you write bad code: • 𝗧𝗵𝗲 𝗔𝘀𝘆𝗻𝗰 𝗘𝗻𝗴𝗶𝗻𝗲: The single-threaded event loop isn't a limitation; it's the perfect non-blocking architecture for UI. • 𝗙𝗹𝗲𝘅𝗶𝗯𝗶𝗹𝗶𝘁𝘆: Prototypal inheritance isn't a mistake; it’s a deliberate strategy for runtime adaptability. • 𝗡𝗮𝘁𝗶𝘃𝗲 𝗠𝗼𝗻𝗼𝗽𝗼𝗹𝘆: Zero compilation and direct DOM integration mean it simply cannot be replaced by alternatives. Stop fighting the language and learn the engine. To solidify my own understanding, I documented its complete architecture in a 4-part series. 👇 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝟰-𝗽𝗮𝗿𝘁 𝗱𝗲𝗲𝗽 𝗱𝗶𝘃𝗲: • 𝗕𝗶𝗿𝘁𝗵 (𝟭𝟬 𝗗𝗮𝘆𝘀): https://lnkd.in/gPa4Ce_b • 𝗦𝘂𝗿𝘃𝗶𝘃𝗮𝗹 (𝗪𝗮𝗿𝘀): https://lnkd.in/dX-7innn • 𝗣𝗵𝗶𝗹𝗼𝘀𝗼𝗽𝗵𝘆 (𝗠𝗲𝘀𝘀𝘆 𝗯𝘂𝘁 𝗠𝗶𝗴𝗵𝘁𝘆): https://lnkd.in/djE_Qsik • 𝗠𝗼𝗻𝗼𝗽𝗼𝗹𝘆 (𝗪𝗵𝘆 𝗜𝘁 𝗪𝗼𝗻): https://lnkd.in/daFpGMYJ #JavaScript #WebArchitecture #FrontendEngineering #ReactJS #SoftwareDevelopment #CleanCode

🚨 JavaScript vs. TypeScript: Why is Promise<void> Everywhere? If you’ve moved from JavaScript to TypeScript in Playwright, this is usually the first thing that looks "cluttered." The JavaScript Way: async enterUsername(page, value) { await page.fill('#username', value); } Simple. Clean. No extra noise. The TypeScript Way: async enterUsername(page: Page, value: string): Promise<void> { await page.fill('#username', value); } 🧠 The Big Question I often hear this from automation engineers moving to TS: "Why are we writing Promise<void> everywhere? I thought we only used Promises when waiting for something complex, like a popup or a new tab?" It’s a great question. Here is the "Aha!" moment: In both JS and TS, an async function always returns a Promise. That’s just how the language works under the hood. • In JavaScript: The return type is implicit. It hides in the background. • In TypeScript: The return type is explicit. You are defining the "contract" of the function. 💡 Think of it as a Labeling System TypeScript requires you to declare what every function returns. Since async functions are "promises of future values," we just need to label what those values are: • Promise<void> ➔ The function is async, but it returns nothing (like a click). • Promise<string> ➔ The function is async and will return a string (like getting text). • Promise<boolean> ➔ The function is async and will return a true/false (like checking visibility). 🚀 Why bother with the extra typing? It’s not just about following rules. By being explicit, your framework becomes significantly more stable: 1. IntelliSense: Your IDE (VS Code) knows exactly what to suggest next. 2. Early Bug Detection: TS will scream at you if you try to use a void result as if it were a string. 3. Readability: Anyone reading your code knows exactly what to expect without digging into the implementation. The Takeaway: TypeScript isn't adding new complexity; it’s just making the implicit visible. 🔍 Once you get used to it, you'll find it’s like having a high-quality GPS for your automation framework—it’s much harder to get lost. #Playwright #TypeScript #SDET #TestAutomation #SoftwareTesting #QA

🚀 JavaScript Deep Dive – Revisiting Core Concepts Today I spent some focused time revising a few fundamental but powerful JavaScript concepts that form the backbone of modern frontend development. Even though we use these concepts daily while working with frameworks like React, revisiting them from a core JavaScript perspective always brings deeper clarity. Here’s what I revisited today: 🔹 Higher Order Functions (HOF) Understanding how functions can accept other functions as arguments or return functions. This concept powers methods like map, filter, and reduce, which are widely used in functional programming. 🔹 Closures One of JavaScript’s most powerful features. Closures allow functions to retain access to variables from their lexical scope even after the outer function has finished executing. This is heavily used in patterns like function factories, data encapsulation, and React hooks. 🔹 Destructuring (Arrays & Objects) A cleaner way to extract values from arrays and objects. It greatly improves readability and is used extensively when working with props, API responses, and state objects. 🔹 Shallow Copy vs Deep Copy Understanding how JavaScript handles object references in memory is crucial to avoid unintended mutations. Shallow copy → copies top-level properties Deep copy → creates a completely independent structure 🔹 Spread Operator (...) Very useful for copying objects, merging arrays, and maintaining immutability in modern JavaScript applications. 🔹 Rest Operator (...) Helps collect multiple values into a single array, commonly used in function parameters and destructuring. 💡 Big takeaway: Many advanced frameworks rely heavily on these fundamentals. The better we understand them, the easier it becomes to write clean, predictable, and maintainable code. Revisiting the basics often reveals insights we might miss while just focusing on frameworks. What JavaScript concept do you think every developer should revisit regularly? Ritik Rajput #JavaScript #WebDevelopment #FrontendDevelopment #CodingJourney #LearnInPublic #DeveloperGrowth #sheriyanscodingschool

🚀 Day 24 of Learning in Public: JavaScript Edition 💻✨ 📜 The Origin Story In the beginning, JavaScript had no official way to share code between files. CommonJS (CJS) stepped in to save Node.js developers, while ES Modules (ESM) eventually arrived as the official standard for the entire JavaScript ecosystem . ⚔️ Syntax Showdown 1. CommonJS (The Classic) Uses require() and module.exports. It’s synchronous, meaning it loads files one by one. JavaScript // day19.js (Exporting) exports.login = () => console.log("Logged in!"); // day19_1.js (Importing) const { login } = require("./day19.js"); 2. ES Modules (The Modern Standard) Uses import and export. This is what I’ve been practicing lately, and it's much cleaner! JavaScript // day19.js (Exporting) export const login = () => console.log("Login to application"); export const marks = [100, 200, 40]; // day19_1.js (Importing) import { login, marks } from "./day19.js"; ⚙️ Why the Runtime Matters The difference isn't just "aesthetic"—it's about how your code actually runs: Loading: CJS is synchronous (step-by-step), while ESM is asynchronous, making it faster for web browsers. Analysis: ESM is static. Tools can look at your code before it runs to see exactly what you’re using. Tree Shaking: Because ESM is static, modern bundlers can delete unused code (dead code) to keep your files tiny. CJS doesn't support this easily. 🛠️ When to use what? Use CommonJS if: You are maintaining legacy Node.js codebases. You are working with older npm packages that haven't updated in years. Use ES Modules if: You are starting a new project in 2026. You are building for the browser or using modern frameworks (React, Vue, etc.). You want to take advantage of top-level await and better performance. 🏁 Conclusion While CommonJS served us well for a decade, ES Modules are the future. They bring a unified standard to both the server and the browser. Which module system are you using in your current project? Let’s discuss in the comments! 👇 #JavaScript #WebDevelopment #NodeJS #CodingTips #SoftwareEngineering #JavaScript #LearningInPublic #WebDevelopment #CodingJourney #JSBasics #Exports #ESModules

🤔 Ever made users download a huge chunk of JavaScript on first load… even though they might never open half of the features? That is exactly the problem dynamic imports and code splitting help solve. 🧠 JavaScript interview question What are dynamic imports and code splitting, and how do they improve performance? ✅ Short answer import() lets you load a module at runtime instead of bundling it into the initial load. Bundlers like Webpack, Rollup, and Parcel use that to split your app into smaller chunks that are downloaded only when needed. Result: faster initial load, less JS upfront, and better perceived performance. 🔍 Static vs dynamic imports Static imports are resolved at build time and included in the initial bundle: import { add } from "./math.js"; Dynamic imports happen at runtime and return a Promise: async function onCalculate() { const math = await import("./math.js"); console.log(math.add(2, 3)); } button.addEventListener("click", onCalculate); So instead of shipping everything immediately, you load code when the user actually needs it. 📦 What code splitting means Code splitting is the practice of breaking your app into smaller bundles instead of one large file. That gives you a few big wins: ⚡ Faster initial load Users download only the code needed for the first screen. 🎯 Lazy loading Heavy features like charts, admin panels, or editors can load only when opened. 📥 Better network usage Browsers can download multiple chunks separately and cache them efficiently. 🧩 Real-world example: route-based splitting A very common pattern is loading route components only when the user navigates there: import React, { Suspense } from "react"; const AdminPage = React.lazy(() => import("./pages/AdminPage")); function App() { return ( <Suspense fallback={<Spinner />}> <AdminPage /> </Suspense> ); } Here, AdminPage is bundled separately and fetched only when needed. 🛠 How bundlers use import() When a bundler sees dynamic import(), it usually creates a separate chunk for that module. That is the key idea: import() is not just a syntax trick it is a signal to split code. 🧠 Easy analogy Think of your app like a toolbox. Static imports = carrying the entire toolbox everywhere Dynamic imports = bringing only the tools you need right now That is why dynamic imports help keep the initial load lighter. 💬 Interview-ready takeaway Dynamic imports use import() to load modules on demand. Code splitting uses that behavior to generate smaller bundles. Together, they reduce initial bundle size and improve load performance by shipping less JavaScript upfront. #javascript #webdevelopment #frontend #reactjs #nextjs #typescript #performance #codinginterview #softwareengineering

📌 I went deep into the JavaScript Event Loop. Here's what you need to know — JavaScript is single-threaded. One thing at a time. So how does it handle API calls, timers, and clicks without freezing? That's the Event Loop. 🏗️ 4 pieces working together: ✅ Call Stack Queue — where code runs. LIFO. One function at a time. ✅ Web APIs Queue — browser handles slow work here. setTimeout, fetch, DOM events — all offloaded outside the JS engine. ✅ Microtask Call Stack Queue — Promise callbacks (.then, async/await). Fully drained before anything else moves. ✅ Macrotask Call Stack Queue — setTimeout, setInterval, I/O. One item per loop cycle. 🔄 Exact priority order — on repeat: -Run the Call Stack Queue -Drain ALL Microtasks -Pick ONE Macrotask -Drain ALL Microtasks again -Repeat ⚡ Why this output surprises people: console.log("1"); setTimeout(() => console.log("2"), 0); Promise.resolve().then(() => console.log("3")).then(() => console.log("4")); console.log("5"); // Output: 1 → 5 → 3 → 4 → 2 Sync runs first. Microtasks before macrotasks. setTimeout runs last — even at 0ms. This one example covers 80% of interview questions on this topic. 🔬 async/await = Promises underneath async function run() { console.log("A"); await Promise.resolve(); console.log("B"); // Microtask Call Stack Queue } console.log("1"); run(); console.log("2"); // Output: 1 → A → 2 → B Every await pushes the rest of the function into the Microtask Call Stack Queue. ❌ Blocking the Call Stack Queue: while (Date.now() - start < 3000) {} // freezes everything No timers. No clicks. No UI. This is why heavy work belongs in a Web Worker. 🎤 Interview questions — answer these yourself: 1. What is the Event Loop and why does JS need it? 2. Microtask vs Macrotask Call Stack Queue — what's the difference? 3. Why doesn't setTimeout(0) run immediately? 4. Can the Microtask Queue starve the Macrotask Queue? 5. How does async/await relate to the Microtask Queue internally? 6. Where does browser rendering fit in the Event Loop cycle? 🧩 The mental model I keep coming back to: Think of a restaurant kitchen. 🔺 The chef is the Call Stack Queue — cooks one dish at a time, nothing else. 🔺 The oven and timers are the Web APIs Queue — working quietly in the background. 🔺 Urgent verbal orders are the Microtask Call Stack Queue — handled completely between every single dish. 🔺 New tickets from the front of house are the Macrotask Call Stack Queue — come in one at a time, wait their turn. 🔺 The expeditor is the Event Loop — constantly checking all queues and keeping everything moving in the right order. 🔺 The chef never picks up a new ticket until every urgent verbal order is handled first. Drop your answer to Q4 below - #JavaScript #EventLoop #CallStackQueue #Frontend #JSInterviews #LearnInPublic #webdevelopment #interviewprep