JavaScript Prototypes & OOP Pillars: Classes, Constructors & Inheritance

Cohort Learning Update | Chai Aur Code Today’s class was a deep dive into JavaScript Prototypes and OOP concepts. We explored how JavaScript handles inheritance internally using: • __proto__ and prototype chaining • How objects inherit properties through nested prototypes Then moved into Constructor Functions: • Creating objects using constructor functions • Using prototypes to share methods efficiently After that, we covered Classes in JavaScript: • Creating classes and instances • Understanding constructor, super, and static • Using get() and set() for better data handling Finally, we connected everything with OOP principles in JavaScript: • Encapsulation • Inheritance • Abstraction • Polymorphism This session really helped me understand how JavaScript works under the hood and how OOP concepts are actually implemented in JS. Step by step moving from writing code to understanding the fundamentals behind it. Special thanks to Suraj Kumar Jha sir for explaining these concepts so clearly and making complex topics easy to grasp. #javascript #oop #webdevelopment #chaicode #learninginpublic

Most beginners start JavaScript… but don’t understand variables & data types deeply. They declare variables. Store values. Write basic code. It feels easy — until logic gets complex. Then the real problems start: Confusion in data handling. Unexpected bugs. Weak logic building. Difficulty scaling code. In 2026, JavaScript isn’t about syntax. It’s about building strong logic foundations. This is where it starts: • Understanding var, let, const clearly • Knowing different data types (string, number, boolean, object, array) • Storing and managing data efficiently • Writing clean and predictable logic • Avoiding common beginner mistakes Because strong logic doesn’t come from frameworks — it comes from mastering the basics. Curious — are your fundamentals strong or just “working somehow”? #JavaScript #WebDevelopment #Coding #Programming #FrontendDevelopment #LearnToCode #DeveloperLife #JSBasics

🚀 50 Weeks, 50 Projects – Week 6 Complete To push my development skills beyond tutorials, I'm continuing my 50 Weeks, 50 Projects challenge, where I build and ship one project every week. 🛠 Week 6 – API Lens: AI-Powered JSON Explorer Ever stared at a raw API response and had no idea what half the fields meant? That's exactly why I built this. Tech Stack: HTML · CSS · Vanilla JS · OpenRouter API (Mistral-7B, free tier) Design Style: Warm, human-first UI — cream tones, serif typography (Fraunces), and a layout that feels more like a notebook than a dev tool. Built specifically to be approachable for beginners. Functionality: 📋 Paste raw JSON or fetch any public API URL directly 🤖 AI explains every field in plain English — no docs needed 🌳 Interactive collapsible field tree with color-coded types ⏱ Unix timestamps decoded to human-readable dates automatically 🛡 Auto-detects response type: JWT, paginated list, error, REST 📋 One-click copy for JS, Python & cURL code snippets ⚡ 3-layer CORS proxy fallback — works with almost any public API Suggestions: I'd love feedback from the community! What other API patterns should I detect? Any features that would make this more useful in your daily workflow? Live URL : https://lnkd.in/dBcejh34 #50WeeksChallenge #BuildInPublic #WebDev #JavaScript #API #OpenSource #100DaysOfCode

It’s easy to write code that works, but today I realised how little I actually understand what’s happening under the hood of JavaScript. But today's class felt like a proper brain reset—we moved from building APIs to exploring the language’s “engine room.” The whole prototype vs __proto__ thing finally clicked for me: one is the blueprint, the other is the actual DNA link objects use to climb their weird little family tree, looking for missing methods. Suddenly, memory efficiency made sense. Then came the OOP pillars, which sound fancy until your code turns into spaghetti. I now think of Encapsulation as a secret diary for variables, and Polymorphism as that one friend who behaves differently depending on the situation—same interface, multiple personalities. Even ES6 classes hit differently once I understood why static exists and how super() quietly connects everything behind the scenes. I’m slowly realising that becoming a better developer isn’t about writing more code, but thinking more before writing it. Still a part-time “professional Googler,” but as they say, that discomfort is where the real learning lives. Hitesh Choudhary, Piyush Garg, Akash Kadlag, Jay Kadlag

🚀 Diving Deeper into JavaScript: Classes & Objects As part of my continuous learning journey in JavaScript, I recently explored one of the most important paradigms in modern development — Object-Oriented Programming (OOP). Here’s a quick snapshot of what I’ve learned: 🔹 Objects are the core building blocks that encapsulate state (data) and behavior (methods) 🔹 Classes act as blueprints to create multiple reusable object instances 🔹 Understanding the prototype chain helped me see how JavaScript handles inheritance behind the scenes 🔹 Implemented inheritance to reuse and extend functionality across classes 🔹 Used the constructor() method for initializing object properties effectively 🔹 Learned how the super keyword connects child classes to parent class functionality 🔹 Explored error handling (try-catch) to make applications more robust and fault-tolerant 💡 This learning not only strengthens my fundamentals for real-world project development but also builds a strong base for technical interviews. 📂 I’ve also worked on: ✔️ Practice questions ✔️ Study materials ✔️ Hands-on examples 📄 I’ll be attaching the detailed learning resource (PDF) for anyone interested in revising or getting started with OOP in JavaScript. Check it out : https://lnkd.in/g28JKx5v Excited to keep building and learning every day 💻✨ #JavaScript #WebDevelopment #OOP #FullStackDeveloper #LearningJourney #Coding #DeveloperLife #TechSkills #FrontendDevelopment

🔥 Master the art of coding loops in JavaScript! 🚀 Loops are a fundamental concept in programming that allow you to execute a block of code multiple times. They are essential for automating repetitive tasks and iterating over data structures. For developers, understanding loops is crucial for writing efficient and concise code. Whether you're working on data manipulation, user interfaces, or backend logic, loops help you process large amounts of data with ease. Here's a step-by-step breakdown: 1️⃣ Initialize a counter variable 2️⃣ Set the condition for the loop to continue 3️⃣ Execute the code block inside the loop 4️⃣ Update the counter variable at the end of each iteration Check out the code example below: ``` for (let i = 0; i < 5; i++) { console.log('Hello, loop ' + i); } ``` Pro Tip: Use caution with infinite loops! Always ensure your loop has a clear exit condition to avoid crashing your program. Common Mistake Alert: Forgetting to update the counter variable in a loop can lead to infinite loops. Always remember to increment or decrement the counter inside the loop. 🌟 Question for you: What creative project are you currently working on with loops in your code? Share below! 💡 🌐 View my full portfolio and more dev resources at tharindunipun.lk #JavaScript #CodingLoops #ProgrammingBasics #DevTips #LoopMastery #CodeNewbie #TechTalk #DeveloperCommunity #DigitalSkills

🚀 #Day30 of My Learning Journey 💻 Today was focused on revising JavaScript fundamentals, solving a classic DSA problem, and strengthening backend knowledge. 🔹 JavaScript Revision Revisited important JavaScript concepts to improve understanding of execution flow, logic building, and writing cleaner code. 🔹 LeetCode – Container With Most Water Problem (Brief Explanation): Given an array representing heights of vertical lines, the goal is to find two lines that together with the x-axis form a container that holds the maximum amount of water. Brute Force Approach: Check every possible pair of lines and calculate the area between them. Keep track of the maximum area found. Time Complexity: O(n²) Space Complexity: O(1) Optimized / Optimal Approach (Two Pointer Technique): Start with two pointers at the beginning and end of the array. Calculate the area and move the pointer with the smaller height inward. Continue until both pointers meet. Time Complexity: O(n) Space Complexity: O(1) 🔹 Backend Revision Revised backend concepts focusing on API flow, server logic, and improving understanding of how frontend communicates with backend services. 💡 Takeaway Understanding optimized approaches and revising fundamentals helps in writing efficient and scalable solutions 🚀 Masai #JavaScript #DSA #LeetCode #TwoPointers #FrontendDevelopment #dailylearning #100DaysOfCode #FullStackJourney #Masaiverse #Masai

The reality of learning to code isn't just fighting bugs; sometimes it's fighting your own browser tabs. 😅 Recently, I hit a massive wall. I was suffering from serious "Shiny Object Syndrome." I had tabs open for advanced Async JavaScript, Git tutorials, NeetCode algorithms, and tech news about new AI coding tools. The result? I was running in six different directions and moving absolutely nowhere. Context-switching paralysis is real. I had to take a step back, clear my desk, and implement strict Timeboxing. I put the advanced tutorials in a "Pause Box" and gave myself one single mission: Finish the HTML/SASS architecture for my latest project—a modern, split-screen Sign-Up Form. By aggressively narrowing my focus, I finally broke through the slump and secured some major technical wins: ✅ CSS Architecture: Set up a professional SASS environment with a custom settings.json compiler and mapped out my variables (_variables.scss). ✅ Advanced Layouts: Implemented the "Holy Grail" of CSS Grid repeat(auto-fit, minmax()) to create a fully responsive, media-query-free split screen. ✅ Flexbox Mastery: Built custom form dividers using CSS pseudo-elements (::before & ::after) manipulated by Flexbox, instead of relying on unnecessary HTML tags. ✅ Debugging SASS: Learned how to actually read compiler error logs to track down missing variables and broken imports. A huge takeaway for me this week: Progress isn't always writing 1,000 lines of code. Sometimes progress is just closing 15 tabs, setting a 40-minute timer, and figuring out why a CSS width property is collapsing your Flexbox container. Back to the code! 💻🚀 #WebDevelopment #FrontEnd #CSSGrid #SASS #WomenInTech #TheOdinProject #LearnToCode #SoftwareEngineering #DeveloperJourney

After understanding how JavaScript runs inside the engine (V8, JIT, etc.), today I moved one layer deeper into how JavaScript actually executes code internally. 🔹 Execution Context (EC) JavaScript runs code inside something called an Execution Context, which is basically the environment where code is evaluated and executed. There are two main types: 1. Global Execution Context (GEC) → created once when the program starts 2. Function Execution Context (FEC) → created every time a function is called Each execution context goes through two phases: 1. Creation Phase (Memory Setup) - Variables (var) are initialised as undefined - let/const are in the Temporal Dead Zone - Functions are fully stored in memory - Scope chain is determined 2. Execution Phase - Code runs line by line - Variables get actual values - Functions are executed 🔹 Call Stack (Execution Stack) JavaScript uses a call stack (LIFO) to manage execution: - When a function is called → pushed to stack - When it finishes → popped from stack - This helps track exactly what is running at any moment 🔹 Hoisting During the creation phase: - var → hoisted as undefined - let/const → hoisted but not initialised (TDZ) - Functions → fully hoisted 🔹 Lexical Scope Scope is determined by where code is written, not where it is called. This is why inner functions can access outer variables. 🔹 Closures Closures allow a function to remember variables from its outer scope, even after the outer function has finished execution. This is a powerful concept used in: - Data privacy - State management - Real-world application logic 💡 Big realisation from today: Understanding execution context and the call stack makes JavaScript feel much less “magical” and much more predictable. Instead of guessing what the code will do, I can now trace exactly how it runs step by step. On to Day 3 tomorrow 🔥 #javascript #webdevelopment #programming #softwareengineering #learning #developers