Java vs JavaScript: Backend Engine vs Frontend Soul

One of the most Important Question in Java Script Q. “Explain Prototypal Inheritance in JavaScript” I am going to tell you the simplest way to explain it: JavaScript doesn’t use traditional class-based inheritance. Instead, it uses Prototypal Inheritance — Prototypal Inheritance in JavaScript means that objects can inherit properties and methods from other objects. This property & method points to another object, known as its prototype. What actually happens behind the scenes? Every JavaScript object has an internal hidden property called [[Prototype]] (accessible via __proto__ or Object.getPrototypeOf()). This link is called the prototype When you try to access something: → JS first checks the object → If not found, it goes up to its prototype → Keeps going until it finds it or reaches null This is called the Prototype Chain Why interviewers ask this? Because it tests: 1.) Your core JavaScript understanding 2.) How deeply you know objects 3.) Whether you actually understand JS or just use frameworks

Dev Notes #06 JavaScript feels like a breath of fresh air. For the past several months, my focus has been almost entirely on Java and Spring Boot: annotations, dependency injection, bean lifecycles, REST API design. Backend development is deeply rewarding, but it demands a particular kind of discipline. Everything is structured, strongly typed, and explicit by design. So when I began picking up JavaScript and React last week, my first reaction was genuine surprise at how different the experience felt. No type declarations. Components as functions. UI that responds to state. Coming from Java, it initially felt almost too flexible. But as I moved beyond the syntax and started reasoning about how things actually work, the depth became apparent. One concept that stood out early was memoization, specifically React's useMemo hook. The premise is straightforward: cache the result of a computation and only recalculate when its dependencies change. What made it click for me was recognising the intent behind it. While working through a component that parsed and tokenized text at the word level, re-executing that logic on every render would have been unnecessary and wasteful. useMemo made the computation deliberate, run once, reuse until something meaningful changes. That mindset, being intentional about what executes and when is not unfamiliar. It is the same principle that drives query optimization and efficient API design on the backend. The layer is different; the thinking is the same. JavaScript offers flexibility that Java does not. But flexibility without understanding is just unpredictability. The more I explore the frontend, the more I find that strong fundamentals transfer across the stack. #JavaScript #React #WebDevelopment #Java #DevNotes

As a programmer, many beginners asked me this question: 'Java vs JavaScript, which is better?' Wrong comparison. JavaScript is built for adaptability WHILE Java is built for reliability. JavaScript lets you prototype fast, iterate quickly and pivot without heavy constraints. Perfect for environments where speed, experimentation and rapid delivery matter. Java enforces structure, strong typing and clear architecture, reducing errors as systems grow. That’s why it dominates in large-scale, long-term enterprise systems. One lets you move fast and adjust on the fly WHILE the other forces you to think ahead and build for the future. So the debate isn’t about better. It’s about trade-offs: speed and flexibility OR stability and predictability Which one matters more depends on your context, not the language. So ask yourself: Are you trying to build fast… or build something that won’t break at scale? #programming #javascript #informationtechnology #softwaredeveloper #javascript #webprogramming #IT #coding #informationsystems

For nearly two decades, PVS-Studio has helped developers write safer, cleaner code. We started with C and C++, then expanded to C# and Java. And we don't plan to stop! Now we are developing new analyzers for JavaScript and TypeScript and in the article, we tell you how we built it and what to expect. Most likely, if you're working with JavaScript or TypeScript, this article could be interesting for you. https://lnkd.in/eze5aeHp #StaticAnalysis #JavaScript #TypeScript #DevTools

Great code means nothing if it wastes the user’s time. They don’t care if your backend is Java or Python. They care that your API responds in <200ms. They don’t care if your frontend is Angular or React. They care that the UI feels instant. Over the last few months, I’ve spent hours deep in logs, traces, and performance metrics. Not adding features. Just chasing milliseconds. Because here’s the truth — A slow app is a broken app. No matter how “clean” your code looks. My takeaway: Users don't see your architecture. They only experience system performance. Stop building for your resume. Start building for the user. What’s one performance issue you’ve fixed that actually made a difference? #SoftwareEngineering #Performance #Java #Angular #UserExperience #SystemDesign #Coding

👨💻 As a dev, what do you prefer for backend? 🚀 Choosing the right backend framework can make or break a project. Here’s a quick look at the powerhouses shown in the image: #Rust: Known for extreme performance and memory safety without a garbage collector. #Django: The "batteries-included" Python framework, perfect for rapid and secure development. #Ruby (on Rails): Focused on developer happiness and convention over configuration. #Spring Boot: The industry standard for building robust, enterprise-grade Java applications. #Laravel: An elegant PHP framework with a rich ecosystem and beautiful syntax. #ASP.NET: Microsoft’s powerful framework for building high-performance web apps. #Flask: A lightweight and flexible Python micro-framework. #Express.js: The minimalist and fast standard for Node.js developers. #FastAPI: Modern, high-performance Python framework based on standard type hints. #Phoenix: Built on Elixir, it’s designed for high-concurrency and real-time features. #Gin: A high-performance HTTP web framework written in Go (Golang). #NestJS: A progressive Node.js framework for building efficient and scalable server-side apps using TypeScript. Every tool has its own strengths depending on the use case whether it’s speed, scalability, or developer experience. Which one is your go-to choice for your current projects? Let’s discuss in the comments! 👇 -Bashitha Weerapperuma #BackendDevelopment #SoftwareEngineering #Coding #Programming #WebDev #TechCommunity #BashithaWeerapperuma #backend #server

I Compared Java & JavaScript — The Result Surprised Me ⚡ ⚔️ Core Difference JavaScript → Dynamic, flexible, fast to write Java → Strict, structured, built for large systems 🚀 Development Speed JavaScript → Write less code, see output instantly Java → More boilerplate, slower to start 👉 JS wins for beginners & quick projects 🧠 Learning Curve JavaScript → Easier to pick up Java → Requires understanding OOP, types, structure 👉 JS feels simpler early on 🔧 Flexibility JavaScript → One array can act like stack, queue, etc. Java → Different classes for each (Stack, Queue, List…) 👉 JS is more flexible, less to memorize ⚙️ Execution & Type System JavaScript → Interpreted + dynamically typed Java → Compiled + statically typed 👉 Java is safer, JS is faster to experiment 🌍 Usage JavaScript → Frontend + Backend (Node.js) Java → Backend, enterprise systems, Android 🧱 Scalability & Maintainability JavaScript → Can get messy in large apps if not structured Java → Strong architecture for large, long-term systems 👉 Java wins for big, complex systems 🎯 Final Clarity Use JavaScript when you want: 👉 Speed, flexibility, quick results Use Java when you want: 👉 Stability, structure, large-scale systems

I just published ts-lombok-kit 🚀, a TypeScript library inspired by Java’s Project Lombok. If you’ve ever found yourself rewriting the same constructors, getters, setters, toString, and equals methods in TypeScript… this is for you. ts-lombok-kit eliminates boilerplate using compile-time AST transformations, meaning: ✔️ No runtime overhead ✔️ Code is generated before TypeScript even type-checks it ✨ Example Instead of writing 40+ lines of boilerplate: @Data class User { id: number; name: string; email: string; } // Constructor, getters, setters, toString, equals, all generated. Or go fully immutable with a fluent builder: @Record @Builder @With class Product { id: number; name: string; price: number; } const p = Product.builder() .id(1) .name('Widget') .price(9.99) .build(); const updated = p.withPrice(19.99); // new instance, p unchanged 🔧 What’s included @Record / @Value — immutable data classes @Data — getters + setters + toString + equals in one shot @Builder — fluent builder API @With — immutable copy-with updates @Singleton, @Log, @NonNull, and more ⚡ Bonus Works with TypeScript 5 native decorators, no experimentalDecorators flag needed. 📦 npm: https://lnkd.in/dp5dk43J 🌐 Docs: https://ts-lombok-kit.dev Would love your feedback and thoughts from the TypeScript community! ⭐ #TypeScript #OpenSource #DeveloperTools #WebDevelopment #JavaScript

Hello Everyone👋👋 What is the final variable? In Java, the final variable is used to restrict the user from updating it. If we initialize the final variable, we can't change its value. It once assigned to a value, can never be changed after that. The final variable, which is not assigned to any value, can only be assigned through the class constructor. #Java #backend #frontend #FullStack #software #developer #programming #code #class #object #Array #ArrayList #collections #super #constructor #SpringBoot #SpringAI #AI #GenAI #OpenAI #Nodejs #Angular #React #AWS #Java26 #interface #abstract #interview

I spent the last month reading "Clean Code" so I could finally understand why the dev community is constantly arguing about it. Alongside it, I finished "Are Your Lights On?" (Gause & Weinberg). Reading them together felt like learning how to build a house while simultaneously understanding why people keep building them in the wrong place. The experience? Very eye-opening, but frustrating. The "elephant in the room": Clean Code is an enterprise Java book from the early 2000s. As a JavaScript dev, wading through Java examples felt like reading a foreign language. But once I looked past the boilerplate, the over-arching wisdom beat the noise. I did get some of it in the end, but Java is vastly different from JavaScript in its usage and purpose. The core practices I took away (from "Clean Code"): 1) DX is a choice: Clean code isn’t a burden; it’s a gift to your future self. It’s the difference between a 5-minute sloppy fix to "get a working solution" and a 5-hour nightmare trying to debug it later. It just takes a little patience and care in the moment. 2) The Boy Scout Rule: Leave the campsite cleaner than you found it. You don't have to rewrite the world; just improve the line you’re currently touching. 3) Concurrency is the FINAL BOSS of programming: It offers incredible power, but it goes south fast, and it's pitfalls are hard to reproduce or debug. I’ve learned to respect the "how" as much as the "what." Efficient problem solving (from "Are Your Lights On?"): 1) Solving the wrong problem is the ultimate waste: You can write perfect code, but if it doesn't solve the core issue, it's useless. I cannot beat this dead horse enough. 2) The "communication" fix: We often spend hours trying to "hack" a system from the outside when the solution is just a conversation away with the original creator. 3) The "easy path" trap: Sometimes the most "senior" thing you can do is push back on a high-paying solution that doesn't actually help the user. The general verdict from me: If you’re a JS dev, don’t let the Java scare you off. Extract the core principles discussed (naming things, small functions, single responsibility) and leave the boilerplate behind. Java has changed a lot since the book came out anyway. Next up for me: The Pragmatic Programmer. What book changed your developer experience for the better? #SoftwareEngineering #CleanCode #JavaScript #ComputerScience #CareerJourney #GoldsmithsUoL