React Hooks Simplify State Management

I challenged myself to build a full coding platform. No React, no frameworks, pure Vanilla JS. Not because it was required. But because I wanted to know exactly how much I could do with just the language itself. The result: a LeetCode-style problem solving platform with user profiles, a live timer, hint system with point penalties, real test case execution, and a leaderboard. All persisted via localStorage. What went into it: * Custom code executor using new Function() with deep equality checking on nested outputs * Timer that pauses on accordion close and resumes on reopen, synced to localStorage * Debounced input listener for auto-saving user's code * DocumentFragment for batched DOM rendering, no repeated reflows * Full CRUD on user data, mid-session state recovery on page reload * ES Modules, Closures, Promise.all for parallel test execution The hardest part wasn't the features. It was making everything work together without a single external dependency managing state for me. If you've only built in React, try going without it once. You'll understand what the framework is actually doing for you. Live: https://lnkd.in/ge96U6Uj Github: https://lnkd.in/ge6N4ktR #JavaScript #VanillaJS #Frontend #WebDevelopment #buildinpublic

𝗦𝘁𝗼𝗽 𝘂𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗗𝗮𝘁𝗲 𝗼𝗯𝗷𝗲𝗰𝘁. 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁 𝗷𝘂𝘀𝘁 𝗴𝗿𝗲𝘄 𝘂𝗽. 🚀 If you’re in the web development space for more than a week, you’re probably aware of the pain: 1. Time zones that randomly shift. 2. Mutable dates that change when you least expect it. 3. The "Bundle Bloat" of including heavy libraries just to format a string. We’ve lived with Moment.js, date-fns, or Day.js for the past few years, thinking the "broken" native Date API would never be fixed. Well, that’s not the case anymore! Enter: 𝗧𝗵𝗲 𝗧𝗲𝗺𝗽𝗼𝗿𝗮𝗹 𝗔𝗣𝗜. 🧠 It’s not just an update; it’s an architectural shift in the way JavaScript handles time. Here’s why I think it’s the way to go for my next project: ✅ Immutability by Default: No more bugs because some helper library changed your original date object. ✅ Wall-Clock Time: Better separation of "exact time" (UTC) and "calendar time" (local). ✅ No More Timezone Math: It handles DST transitions and offsets natively. ✅ Cleaner Syntax: const today = Temporal.Now.plainDateISO(); – readable, predictable, and powerful. The Bottom Line for Teams: If you adopt the Temporal API, you get smaller bundle sizes, fewer "timezone bugs," and an easier onboarding experience for new team members. Standardising the hard stuff is how we scale as an industry. Are you still team date-fns, or are you ready to go native with Temporal? 👇 #JavaScript #WebDevelopment #Coding #SoftwareEngineering #TechTrends #Frontend #JavaScript #WebDevelopment #SoftwareEngineering #Frontend #Coding #TechTrends #Programming #TemporalAPI #CleanCode #FullStack #SoftwareArchitecture #Productivity

Early in my JavaScript journey, async code was where bugs went to hide. Everything looked fine. The API was fast. The UI worked. Yet production felt slow. At first, I blamed the backend & network. Then “JavaScript being JavaScript.”😹 Until I finally looked at the async code. I realized something important: I was using async/await and Promises interchangeably—without intention. I thought async/await was “better,” so I added await everywhere. Inside loops, mappers & places that were supposed to run in parallel. The code was readable, but quietly inefficient. Later, on another project, I did the opposite. Long .then() chains. Nested logic. Error handling scattered across files. It worked, but no one wanted to touch it. That’s when it clicked. Async/await and Promises are the same engine, just different driving styles. 👉Promises helped me see concurrency. 👉Async/await helped me reason about logic. The real problem wasn’t the tools. It was using them without understanding why. Some lessons learned the hard way: • await in a loop can kill performance • Mixing .then() and await hurts readability • Async/await is still non-blocking—your event loop matters • Clean async code scales better than clever async code Now, I choose deliberately: • Promises for orchestration and parallelism • Async/await for clarity and maintainability Async bugs don’t usually scream. They whisper until your app scales then the effects kicks in What async mistake taught you the biggest lesson in your career? #JavaScript #AsyncAwait #Promises #SoftwareEngineering #WebDevelopment #LearningInPublic

🚨 Is .then().catch() dead after try...catch in JavaScript? Short answer: No. Both are alive and useful. The real difference is how you structure asynchronous code. 🔹 1️⃣ Promise style — .then().catch() This was the original way to handle async operations with Promises. Example: fetch("/api/data") .then(res => res.json()) .then(data => console.log(data)) .catch(err => console.error(err)); ✅ Best when: You want simple promise chains Writing functional pipelines Handling single async operations 🔹 2️⃣ Async/Await style — try...catch Modern JavaScript introduced async/await, making async code look like synchronous code. Example: async function getData() { try { const res = await fetch("/api/data"); const data = await res.json(); console.log(data); } catch (err) { console.error(err); } } ✅ Best when: You have multiple sequential async calls You want cleaner, readable code Handling complex error flows 💡 Key Insight async/await is actually built on top of Promises. So .then() and .catch() are still working under the hood. 👉 It's not about which one is better. 👉 It's about which one fits the situation. 📌 Quick Rule Small async chain → .then().catch() Complex async logic → async/await + try...catch JavaScript keeps evolving, but understanding both patterns makes you a stronger developer. #javascript #webdevelopment #frontend #nodejs #asyncawait #promises #coding #softwaredevelopment #100DaysOfCode

“JS Fundamentals Series #1: Execution Context & Call Stack” Behind every line of JavaScript lies a hidden world of execution contexts and stacks — let’s uncover it 👇 Whenever a JavaScript program runs, the JS engine creates a Global Execution Context (GEC), a Global Object, and a special this variable. Think of the Execution Context as a big container with two parts: 1. Memory Component 2. Code Component 🔄 The whole JavaScript code gets executed in two phases:- 1. Memory creation phase: All the variables and functions are assigned memory in the form of "key: value" pairs inside the Memory Component. Variables are assigned a special keyword called "undefined" until their value is initialized. Functions are assigned their whole body as it is. 2. Code execution phase: Inside Code Component, each piece of code gets executed, only one command will get executed at a time and won't move onto the next until the current command is executed. Whenever a function is called/invoked, a new Local Execution Context is created inside the Code Component. 📚 Call Stack This is where all the Execution Contexts are executed in a particular order. It follows a principle known as LIFO - Last In First Out. 💡 Why this matters: Understanding the call stack helps me debug recursion errors, async issues, and write cleaner, more predictable code. 🚀 Next up: I’ll dive into Scope Chain & Lexical Environment. Stay tuned! #JavaScript #Frontend #WebDevelopment #NamasteJS #LearningJourney

🚨 Most developers think they understand JavaScript Arrays… until they see these results. 🤯 Today during my JavaScript practice, I realized something important: 👉 JavaScript arrays are easy to use, but tricky to truly understand. Some small examples can completely change how you think about the language. 🔥 1. map() vs forEach() let arr = [1,2,3]; let a = arr.forEach(x => x * 2); let b = arr.map(x => x * 2); console.log(a); // undefined console.log(b); // [2,4,6] ⚡ forEach() executes logic but returns nothing ⚡ map() returns a new transformed array 🔥 2. The famous sort() trap [1,2,10].sort() Result: [1,10,2] Why? 🤔 Because JavaScript sorts values as strings by default, not numbers. Correct way: [1,2,10].sort((a,b)=>a-b) 🔥 3. Removing duplicates from an array let arr = [1,2,3,2,1]; let unique = arr.filter((x,i,a) => a.indexOf(x) === i); console.log(unique); // [1,2,3] 🔥 4. Getting duplicate values let duplicates = arr.filter((x,i,a) => a.indexOf(x) !== i); Output: [2,1] 💡 Big learning from today: JavaScript isn’t just about writing code. It’s about understanding how the language actually behaves under the hood. Small hidden behaviors can make a huge difference in interviews and real-world projects. 📚 Array methods I practiced today ✔ push ✔ pop ✔ shift ✔ unshift ✔ splice ✔ slice ✔ map ✔ filter ✔ reduce ✔ find ✔ findIndex ✔ includes ✔ indexOf ✔ sort ✔ forEach ✔ every Still learning. Still improving. 🚀 If you're learning JavaScript too, which array method confused you the most when you started? 👇 #javascript #webdevelopment #frontenddevelopment #programming #coding #softwaredeveloper #developers #techcommunity #100daysofcode #learninpublic #js #codingjourney #webdev #developerlife

Most JavaScript developers are writing async code without understanding what's actually happening. I spent today going deep on the internals. Here's what actually matters: 🔁 THE EVENT LOOP Everyone says "JavaScript is single-threaded" but can't explain why this works: console.log('1') setTimeout(() => console.log('2'), 0) Promise.resolve().then(() => console.log('3')) console.log('4') Output: 1 → 4 → 3 → 2 The reason? Microtasks (Promises) always drain before macrotasks (setTimeout). Not knowing this will produce bugs you can't explain. 🔒 CLOSURES Not just a concept. A practical superpower. I built a memoize() function from scratch today. One function. Saves expensive recalculations by remembering previous results. This is a real interview question at top companies — and most devs can't write it. 🔗 PROTOTYPE CHAIN Hot take: if you only write classes without understanding prototypes, you don't understand JavaScript. Every class in JS compiles down to prototype assignment. Once I rewrote a class using Object.create() manually, inheritance finally made sense. The truth nobody tells you: Senior devs aren't faster because they know more syntax. They're faster because they understand what the engine is actually doing. Day 1 of my 15-day full-stack + AI engineering sprint. Building in public. What JavaScript concept took you the longest to actually understand? 👇 #JavaScript #WebDevelopment #FullStack #100DaysOfCode #LearningInPublic

3 questions I ask before writing any function: 1. Can someone understand this in 30 seconds? 2. Am I solving a real problem or a hypothetical one? 3. Is there a simpler way to do the exact same thing? That's KISS in practice. It sounds obvious. But most of us (myself included) have violated all three in the same pull request. Wrote a full breakdown of the KISS Principle — with actual Node.js/Express/Prisma examples showing what over-engineered vs clean code looks like in real backend work. No theory fluff. Just code, context, and the mental shift that actually sticks. Drop a 🔥 if you've ever been burned by your own complex code! 👇 Link in first comment #javascript #nodejs #webdev #softwaredevelopment #cleancode

“JS Fundamentals Series #2: Scope Chain & Lexical Environment” How does JavaScript know where to find your variables? When you write code, JS doesn't just magically "know" things - it follows a structured process called the Scope chain inside the Lexical Environment. 👉 Lexical Environment: The scope of local memory along with the reference to the parent's local memory. 👉 Scope Chain: A chain-like structure formed between scopes to find a variable — essentially the chaining of Lexical Environments (LE). 🔹 Explanation - Every function in JS creates its own Lexical Environment. - When JS looks for a variable, it first checks the local scope. - If not found, it moves outward step by step through the Scope Chain until it finds the variable (or throws an error). - This is why nested functions can access variables from their parent functions and even the global scope. 🔹 Analogy Think of it like searching for your keys: - First, you check your own room. - If not found, you check the living room. - Finally, the whole house. JS does the same with variables — it searches scope by scope until it finds them. 🔹 Why It Matters - Helps debug those frustrating “undefined” errors. - Makes your code cleaner and more predictable. 💡 Takeaway: Mastering scope chains means fewer bugs and more confidence when writing or debugging JavaScript. 🚀 Next up: I’ll dive into Hoisting & Temporal Dead Zone (TDZ). Stay tuned! #JavaScript #WebDevelopment #Frontend #CodingTips #DeveloperCommunity #LearningJourney #TechExplained #CareerGrowth

🚀𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁 𝗧𝗵𝗿𝗼𝘂𝗴𝗵 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗧𝗵𝗶𝗻𝗸𝗶𝗻𝗴 While studying JavaScript, I stopped memorizing syntax and started understanding how it actually works — by connecting concepts to real-life situations. Here’s how I now see some core JavaScript fundamentals: 🔹 Closures Like carrying a backpack 🎒 — even after leaving home, you still have access to what you packed inside. Similarly, a function in JavaScript “remembers” variables from its outer scope, even after that outer function has finished execution. This is what makes data privacy and powerful patterns possible. 🔹 Event Loop Imagine a restaurant waiter 🍽️ handling multiple tables alone. He takes orders, sends them to the kitchen, serves ready dishes, and keeps moving — without blocking other customers. JavaScript is single-threaded, but thanks to the Event Loop and engines like V8, it efficiently manages asynchronous tasks without freezing execution. 🔹 Promises & Async/Await Like ordering food online 📦 — you don’t sit staring at the screen until it arrives. You continue doing other work, and once it’s delivered, you handle it. That’s how non-blocking asynchronous behavior works in JavaScript. 🔹 Debouncing vs Throttling Debouncing → Wait until the user stops typing before triggering a search request. Throttling → Limit how often an action can run (like restricting rapid button clicks). These techniques directly impact performance and user experience. 🔹 Prototype & Inheritance Like inheriting traits from parents 👨👩👦 Objects in JavaScript inherit properties and methods through the prototype chain — enabling memory-efficient method sharing and dynamic behavior. 🔹 var vs let vs const Think of them as permission levels 🔐 var ignores block boundaries and can create unexpected behavior. let respects block scope. const locks the reference (though object contents can still change). Understanding scope prevents subtle bugs. 🔹 Memory Leaks Like leaving a water tap open 💧 — small leaks eventually waste resources. Unremoved event listeners or unused references prevent garbage collection, increasing memory usage over time. 💡 Biggest Realization JavaScript may look simple at first glance — but once you understand its execution model, scope behavior, and asynchronous architecture, you start writing more predictable, scalable, and performance-aware code. Strong fundamentals > Copy-paste coding. Still learning. Still improving. 🚀 #JavaScript #WebDevelopment #Frontend #SoftwareEngineering #ContinuousLearning #TechGrowth