Node.js Prime Number Checker: Back to Basics

Hi #linkies of #linkedin, Today, I am gonna discuss about *structuredClone* function in javascript. It is a handy function to deep clone an object by its value. Usage example: const mushrooms1 = { amanita: ["muscaria", "virosa"], }; const mushrooms2 = structuredClone(mushrooms1); Thank you for learning along with me, follow me for more such learnings. Attached AI image is for #algorithm purpose! #tech #coding #programming #javascript #web #webdev #softwareengineering

Hot take: Coding is 20% syntax and 80% Googling the right questions. 🔍 As a web dev, I used to think I needed to memorize every documentation page. Real talk? The "grind" isn't about knowing everything—it’s about being adaptable. In a world of AI and rapid framework shifts, my biggest flex isn't just the languages I speak (JS, Python, TypeScript); it’s how fast I can learn a new one when the industry pivots. 📈 Stay curious, stay caffeinated, and stop gatekeeping good resources. #CareerGrowth #Web #SoftwareEngineering #TechMindset

🚀 Why Rust’s Tokio Runtime Is Changing Async Programming 🚀 If you’ve worked with async in JavaScript, Python, or Go, you’re used to concurrency feeling “magical”: async functions, event loops, goroutines, green threads… most of the heavy lifting happens under the hood. Rust takes a different path. With Tokio, async is explicit, zero-cost, and incredibly scalable. Here’s why it’s unique: 🔹 How Tokio Works * async fn in Rust compiles into state machines, not threads. * .await is a yield point, not a thread block. * The executor polls tasks, the reactor waits on OS I/O events (epoll/kqueue/IOCP), and wakers resume tasks only when they’re ready. * Result: millions of concurrent tasks on a handful of threads, no GC, no surprises. 🔹 Comparing Tech Stacks Concurrency Model * Tokio (Rust): Futures + Executor + Reactor * Node.js: Event loop + Promises * Go: Goroutines + Scheduler OS Threads Usage * Tokio: Few threads drive millions of tasks * Node.js: Single-threaded event loop * Go: Many OS threads, M:N scheduler Memory Safety * Tokio: Compile-time, no GC * Node.js: GC-managed * Go: GC-managed Performance * Tokio: Near C-level * Node.js: Good for I/O-heavy workloads * Go: Good for I/O-heavy workloads Scalability * Tokio: Millions of concurrent tasks * Node.js: Thousands of concurrent tasks * Go: Hundreds of thousands of concurrent tasks Predictability * Tokio: High, explicit and safe * Node.js: Moderate, async “magic” hides complexity * Go: Moderate, GC can introduce latency spikes 💡 Takeaways: * Tokio gives control + safety + performance, but requires understanding async internals. * Node.js and Go hide complexity, making them easier to start with, but at the cost of less predictability in massive concurrent workloads. * For network-heavy or latency-sensitive systems, Tokio + Rust is a game-changer. Rust + Tokio is not just “another async framework” — it’s a blueprint for high-performance, safe concurrency.

How does AI code in strongly typed language? One thing I’ve noticed with loosely typed languages (JavaScript) is how defensive it tends to be. Even for something as simple as a “string variable,” you’ll often see patterns like: - typeof x === "string" checks - .trim() everywhere - multiple branches to handle “not a string” cases - extra defaults + fallbacks The result is often bloated code and harder to read logic. Anyone tried coding with C/C++, Java, Rust, Go etc, what have you noticed? #AI #SoftwareEngineering #JavaScript #DeveloperTools #Coding

🚀 2026 is going to be HUGE for open source and AI-powered dev tools! - Biome: Blazing-fast ESLint/Prettier replacement 🐝 - Bun: Fast JavaScript runtime with built-in tools 🍞 - Deno 2.0: TypeScript-first, secure runtime ⚡️ - Zed: AI-native code editor for speed & collaboration 💻 - Turso: Edge-native SQLite with global scale 📍 - Ollama: Run LLMs locally, no cloud needed 🤖 - Ruff: Ultra-fast Python linter 🚀 - Astro: Content-focused web framework with zero JS 🌟 - Continue: Open source coding assistant for any editor 💡 Which one are you most excited about? 👇 check comments for detail Link 🔗 #OpenSource #AI #DevTools #JavaScript #Python #EdgeComputing #LLM #2026Tech

Have you ever thought about what happens behind the scenes when you write code? 🤔 How does a programming language actually understand what you typed? It mainly happens in 2 important steps: ✅ 1) Lexer (Lexical Analyzer) The lexer scans your code and converts it into tokens — small meaningful units like: - keywords (let, if) - variable names (x, name) - numbers (10, 3.14) - operators (=, +) - symbols (;, {}) 📌 Example: let x = 10; becomes tokens like let, x, =, 10, ; ✅ 2) Parser (Syntax Analyzer) The parser takes those tokens and checks if they follow the language rules (syntax/grammar). Then it builds an AST (Abstract Syntax Tree) 🌳 — a structured representation of your code. Why does this matter?, Because this is how tools like these work: ✨ Compilers ✨ Interpreters ✨ ESLint ✨ Prettier ✨ TypeScript 📌 In simple words: Lexer = breaks code into words Parser = understands the sentence structure If you're learning compilers, JavaScript internals, or TypeScript — knowing this concept is a big win 🚀 #Programming #JavaScript #TypeScript #WebDevelopment #ComputerScience #Coding #Developer #Learning

Lately, I realized something important about learning programming 👇 AI makes coding faster… but if you only copy & paste, you don’t actually learn how to think. So I decided to change my approach: Understand the problem before writing code Break big tasks into small steps Focus on logic, not just syntax Use AI as a guide, not a replacement Struggling, debugging, and feeling confused is not failure.... it’s literally how real developers grow. From now on, I’m training myself to think like a programmer, one problem at a time. Slow progress, but real progress 💪 #WebDevelopment #FrontendDeveloper #LearningInPublic #ProgrammingMindset #ReactJS #JavaScript #ProblemSolving #BuildInPublic #DeveloperJourney

Big milestone today. Just wrapped a major Wovser.AI refactor focused on flexibility, performance, and real-world developer workflows. What’s new 👇 • WebContainer support (full Node.js runtime in the browser) • Sandpack support for fast, isolated frontend challenges • Custom containers still available for advanced and enterprise use cases • Browser-based WASM runtimes now fully tested across Python, JS, TypeScript, Ruby, and Lua This unlocks a much wider range of code challenges, security labs, and assessments. All running exactly where they make the most sense. Also: 🚨 Beta program is almost full — only a few spots left. If you’re building technical assessments, security labs, or hands-on learning platforms and want to kick the tires, now’s the time. #WovserAI #DevTools #EdTech #CodeChallenges #WebContainers #WASM #JavaScript #TypeScript #Python #SecurityTraining #DeveloperExperience #AIinEducation

Coming from JavaScript, polymorphism always felt natural — the same function behaving differently depending on the object. It’s one of the reasons modern web apps feel smooth and intuitive. Exploring it in Python has reinforced why this concept matters. Polymorphism lets us design around behavior, not rigid structures. Same interface, different outcomes — cleaner code for developers and consistent experiences for users. Think of a render() method handling buttons, modals, or cards. The UI stays predictable while the logic stays flexible. It’s one of those quiet tools that helps software evolve without breaking — and that’s exactly what clients value. Do you use polymorphism often?

Vue vs React vs Angular This comparison makes one thing clear: There’s no “best” framework — only the right one for your goal. If you want a smooth learning path (Vue) If your goal is fast market entry (React) If you’re building large, long-term systems (Angular) #programming #AI #code