Taming Legacy JavaScript Debt with Code Harmonizer

🚀 Deep Clone an Object in JavaScript (without using JSON methods!) Ever tried cloning an object with const clone = JSON.parse(JSON.stringify(obj)); and realized it breaks when you have functions, Dates, Maps, or undefined values? 😬 Let’s learn how to deep clone an object the right way - without relying on JSON methods. What’s the problem with JSON.parse(JSON.stringify())? t’s a quick trick, but it: ❌ Removes functions ❌ Converts Date objects to strings ❌ Skips undefined, Infinity, and NaN ❌ Fails for Map, Set, or circular references So, what’s the alternative? ✅ Option 1: Use structuredClone() (Modern & Fast) Available in most modern browsers and Node.js (v17+). structuredClone() handles Dates, Maps, Sets, and circular references like a champ! structuredClone() can successfully clone objects with circular references (where an object directly or indirectly references itself), preventing the TypeError: Converting circular structure to JSON that occurs with JSON.stringify(). ✅ Option 2: Write your own recursive deep clone For learning purposes or environments without structuredClone(). ⚡ Pro Tip: If you’re working with complex data structures (like nested Maps, Sets, or circular references), use: structuredClone() It’s native, fast, and safe. Final Thoughts Deep cloning is one of those "simple but tricky" JavaScript topics. Knowing when and how to do it properly will save you hours of debugging in real-world projects. 🔥 If you found this helpful, 👉 Follow me for more JavaScript deep dives - made simple for developers. Let’s grow together 🚀 #JavaScript #WebDevelopment #FrontendDevelopment #CodingTips #LearnJavaScript #Programming #DeveloperCommunity #AkshayPai  #WebDev #ES6 #JSDeveloper #JavaScriptTips #JavaScriptObjects #JavaScriptClone #JavaScriptCloneObject

JavaScript Prototypes: The Moment Everything Finally Made Sense 🚀 I spent years writing JavaScript without understanding what was really happening under the hood. 🤔 Then one day, I noticed something that didn't make sense: Why can I call methods on primitive strings when they're not even objects? How does dot notation work on a simple text value? This simple question sent me down a rabbit hole that completely changed how I think about JavaScript. 🤨 Here's what I discovered: ✨ Every object has a hidden __proto__ property that creates inheritance chains ✨ JavaScript temporarily "wraps" primitives to give them object-like behavior ✨ The prototype system is what makes inheritance actually work ✨ Classes are just syntactic sugar over prototypes ✨ Understanding this unlocks why JavaScript behaves the way it does I documented my entire journey - from confusion to clarity - in a detailed article where I: → Experimented with prototype chains → Built real-world examples (API clients, databases) → Solved the primitive methods mystery → Explained __proto__ vs prototype once and for all Whether you're a beginner trying to understand JavaScript or an experienced dev who wants to know what's happening behind the scenes, this deep dive breaks it down step by step. 🔗 Read the full article: https://lnkd.in/g26HR8x7 Have you ever wondered about JavaScript's prototype system? Drop a comment with your biggest "aha!" moment when learning JS internals! 👇 #JavaScript #WebDevelopment #Programming #SoftwareEngineering #WebDev #FrontendDevelopment #LearnToCode #CodeNewbie #TechBlog

TypeScript’s type inference system is quite smart. In most cases, it can figure out the types for you automatically. But sometimes, we as a developer know something that TypeScript doesn’t. For example, maybe we fetched some data from an API, and we already know what shape that data will have. Or maybe we selected a DOM element, and we know for sure that it’s an 'input' element, but TypeScript can only tell it’s a generic 'HTMLElement'. In such cases, you can use 'Type Assertions' to tell TypeScript what the actual type of a value is. A Type Assertion doesn’t change your code at runtime. It doesn’t add checks, transformations, or conversions. It simply tells the TypeScript compiler - "Hey, I know more about this value than you do and so, treat it as this specific type." There are some situations where you will or have to use 'Type Assertions' - 1. When you use something like 'document.querySelector', TypeScript gives you a very generic type. If you know it’s a specific kind of element, you can assert that so that autocomplete and type checking start working properly. 2. When data comes in as 'any' or 'unknown', TypeScript can’t automatically infer what’s inside. If you know the structure, you can assert it to the correct type to make your code more type-safe (even though it’s still your responsibility to be correct). 3. Sometimes, you have a value that can be multiple types, but you know exactly which one it is in a specific context. Instead of refactoring logic to prove it to TypeScript, you can assert it directly. 4. You can use the 'as const' assertion to make objects or arrays completely immutable and also turn their values into literal types instead of general ones. This is extremely useful when you want your types to stay in sync with your constants. But as we know, with great power comes great responsibility. Type Assertions only tell TypeScript what you think the value is. They don’t check if that’s actually true. If your assumption is wrong, your code might still compile but fail at runtime. So, think of 'Type Assertions' as saying - "Trust me, I know what I’m doing." It’s a powerful feature, but one that should be used carefully and intentionally. #TypeScript #JavaScript #Coding #WebDevelopment #Programming

🚀 New Blog Alert! Ever changed a nested value in JavaScript and wondered why your original object also changed? 😅 That’s the hidden magic (and pain) behind shallow vs deep copy in JavaScript. In my latest Medium article, I’ve broken down: 🧠 How JavaScript handles memory (stack vs heap) 🔍 Why shallow copies share references ⚙️ How deep copy truly works under the hood 💡 Real-world examples using structuredClone(), Object.assign(), and lodash.cloneDeep() 👉 Read here: https://lnkd.in/d9VdByK6 #JavaScript #WebDevelopment #Coding #DeepCopy #ShallowCopy #Frontend #MERN #ShubhamDeveloper

🚀 Excited to share that ECMAScript 2025 has officially landed — and with it, some fantastic developer-friendly enhancements that make writing JavaScript cleaner, more expressive, and efficient. 🎉 Here are some of the headline features and why they matter: 🔹 Import attributes & JSON modules You can now import non-JS assets with formal syntax. This means clearer intent, better module semantics, and fewer bundler tricks just to bring in JSON. 🔹 Iterator helper methods Iterables gain built-in methods like .map(), .filter(), .drop(), .take() and .toArray() — not just arrays anymore. This is a big win for working lazily (no eager intermediate arrays), for streams, generators, sets/maps, and large data. 🔹New Set methods Sets get mathematical power: union, intersection, difference, symmetricDifference, isSubsetOf, isSupersetOf, isDisjointFrom. 🔹 Regular Expression improvements A new RegExp.escape() method to reliably escape strings that will be used in regex construction. 🔹 Promise.try() Synchronously-throwing or async functions can now be wrapped uniformly. This helps avoid the classic pitfall of sync exceptions escaping your promise chain. 🎯 Why this matters for you / your team Cleaner code: Less boilerplate and more expressive APIs mean you spend less time working around language limitations. Better performance & semantics: Lazy iterators reduce overhead; Set methods give you true set algebra; numeric enhancements mean more options for high-performance or low-memory contexts. Modern module handling: Bringing JSON and asset imports into native semantics means less “hacky” bundler logic or custom loaders. Improved regex and async ergonomics: Simplifies previously tricky pieces of JS development (regex construction, async vs sync mixing, etc). ✅ What to do next Check if your runtime/engine (browser, Node.js, etc.) supports these features or needs a polyfill. Start adopting the new APIs in internal utility libraries (iterator wraps, set logic, regex escapes). Encourage team code reviews to watch for places where the new capabilities simplify previous patterns (e.g., manual set logic, array conversions of iterables). Keep an eye on future ECMAScript proposals (ES Next) — staying ahead helps maintain modern codebases. #JavaScript #HIQ #ECMAScript2025 #WebDev #Programming #CodeQuality #TechTrends

Anders Hejlsberg began working on TypeScript in 2012 with a specific goal in mind: addressing a practical challenge rather than creating a competitor to JavaScript. At that time, JavaScript was pivotal to web development, yet it faced limitations in scaling for extensive, collaborative code projects. The industry witnessed the delivery of vast amounts of weakly typed code, leading to complexity beyond manageability as systems expanded. https://lnkd.in/guf6_kEu #javascript #frontend #typescript #ai

The 24 hour JavaScript Engine. Just for the hell of it, I pushed my JavaScript Engine experiment further. I have pretty decent coverage of JS features now. * Event loop * Promises * Async Await ( CPS Transformers ) * Generators ( CPS Transformers ) * Class syntax, with inheritance It´s been an interesting thing to play with. It really does help to have the proper background in languages, interpreters and compilers. It all runs on-top a form of LISP-like engine. JavaScript code -> JavaScript AST -> S-Expressions -> CPS Transformer -> S-Expression evaluator engine. There are probably conceptual things in that decision that will be hard to align with strict JavaScript. I don´t know the edgecases or details of JS that well. But so far it has worked out incredibly well. Some funny takeways. Due to the expression-first approach in the inner engine, every expression is evaluated recursively. This means there is no way "break out" of a function. e.g "return" inside nested conditionals. The AI solved this though. Using Exceptions in .NET. Setting up Try Catch for specific "Signals" in the evaluator. Then when it returns a value, it actually throws an exception holding on to the result. Catching it where the consumer of that value sits. Very Similar with "continue" and "break" statements. This is of course not performant in any way, but it does work. surprisingly well too. Either way, it´s a toy project. just prompting. If anyone is interested in languages, parsing, interpreters. or just want to play with it, here is the code: https://lnkd.in/dTwzgqwu

🔥 Day 33 of #100DaysLearningChallenge 🧠 Topic: How to Handle JSON Files in JavaScript (Node.js) 📘 Overview Today, I learned how to read and access data from a JSON file using JavaScript in Node.js. JSON (JavaScript Object Notation) is one of the most common formats for storing and exchanging data — and knowing how to handle it in JS is super useful! 📂 What the JSON File Contains: ✅ Simple values → strings, numbers, booleans ✅ Nested objects → e.g. a client object with multiple properties ✅ Arrays → lists of numbers or strings ✅ Arrays of objects → e.g. a score array containing multiple records ⚙️ How It Works 1️⃣ Loading the JSON File We can use require() in Node.js to import the JSON file. It automatically parses it and returns a JavaScript object. ✔️ typeof data → returns "object" 2️⃣ Iterating Through the Data We loop through each property using for...in. Depending on the type of data, we handle it differently: Simple values (string, number, boolean): print key-value pairs Arrays: If it contains numbers → print each number If it contains objects → use a nested loop to access each property Nested objects: loop through their internal keys and values 💡 Key Concepts Learned 🔹 Type Checking: typeof helps detect if a value is a primitive or object 🔹 Array Detection: instanceof Array distinguishes arrays from objects 🔹 Nested Loops: Used for deep data traversal 🔹 Error Handling: Always good to wrap in try-catch for safety 🧩 Expected Output Example: name - Rohan age - 34 is_active - true id - A101 username - rohan123 30 40 25 60 f1 - 23 f2 - 25 f3 - 27 ... This method allows reading all data — even deeply nested structures — easily! 🙏 Special Thanks to Saurabh Shukla Sir for explaining everything so clearly and practically. 💻 My Code: https://lnkd.in/d4TnHZGj) #100DaysLearningChallenge #JavaScript #NodeJS #JSON #WebDevelopment #Backend #Programming #DataHandling #CodingJourney

Deep Dive: What Actually Runs When You Write 'await' in JavaScript? Ever wondered what's really happening when you write async and await in JavaScript? Let's peel back the layers and explore this feature from the high-level syntax all the way down to the C++ implementation in V8. The Surface: What You Write Level 1: Desugaring to Promises Level 2: Generator Functions Level 3: JavaScript Runtime & Microtasks Level 4: V8's C++ Implementation Putting It All Together Let's start with familiar async/await code: async function fetchUserData(userId) { const response = await fetch(`/api/users/${userId}`); const data = await response.json(); return data; } This looks synchronous but behaves asynchronously. Magic? Not quite. The async/await syntax is syntactic sugar over Promises. Here's what your async function really looks like: function fetchUserData(userId) { return new Promise((resolve, reject) => { fetch(`/api/users/${userId}`) .then(response => { return response.json(); }) .then(data => { resolve(data); https://lnkd.in/ggH2HFba

Deep Dive: What Actually Runs When You Write 'await' in JavaScript? Ever wondered what's really happening when you write async and await in JavaScript? Let's peel back the layers and explore this feature from the high-level syntax all the way down to the C++ implementation in V8. The Surface: What You Write Level 1: Desugaring to Promises Level 2: Generator Functions Level 3: JavaScript Runtime & Microtasks Level 4: V8's C++ Implementation Putting It All Together Let's start with familiar async/await code: async function fetchUserData(userId) { const response = await fetch(`/api/users/${userId}`); const data = await response.json(); return data; } This looks synchronous but behaves asynchronously. Magic? Not quite. The async/await syntax is syntactic sugar over Promises. Here's what your async function really looks like: function fetchUserData(userId) { return new Promise((resolve, reject) => { fetch(`/api/users/${userId}`) .then(response => { return response.json(); }) .then(data => { resolve(data); https://lnkd.in/ggH2HFba