We just relaunched OnlineCompiler.io, and it's completely rebuilt from scratch. As developers, we've all been there, quickly needing to test a code snippet, share a working example, or embed a runnable code block in documentation. That's exactly what OnlineCompiler.io is built for. What is it? A free online code compiler that lets you write, compile, and execute code in 12 programming languages right from your browser. No setup, no installs. Supported languages: Python, C, C++, Java, C#, F#, PHP, Ruby, Haskell, Go, Rust, and TypeScript (Deno) What makes it different? 1. Embeddable Widget: Add a fully working code editor to your website, blog, or documentation with a single script tag. Your readers can write and run code without leaving the page. 2. REST API: Integrate code execution into your own apps. Get an API key from the dashboard and start making requests. 3. Secure Execution: Every code submission runs in an isolated Docker container with resource limits, network isolation, and automatic cleanup. 4. Passwordless Login: Sign in with Google or a magic link. No passwords to remember. 5. Modern Dashboard: Manage your API keys, widgets, and view your complete execution history from a clean interface. Who is it for? - Technical writers adding code examples to documentation - Educators building interactive coding tutorials - Developers needing a quick sandbox to test snippets - SaaS platforms that want to offer code execution to their users Try it out: https://onlinecompiler.io I'd love to hear your feedback. What languages or features would you like to see next? #OnlineCompiler #DevTools #BuildInPublic #Python #Rust #WebDevelopment #API #Programming #OpenSource #EdTech
OnlineCompiler.io: Free Code Compiler for 12 Languages
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We just relaunched OnlineCompiler.io, and it's completely rebuilt from scratch. As developers, we've all been there, quickly needing to test a code snippet, share a working example, or embed a runnable code block in documentation. That's exactly what OnlineCompiler.io is built for. What is it? A free online code compiler that lets you write, compile, and execute code in 12 programming languages right from your browser. No setup, no installs. Supported languages: Python, C, C++, Java, C#, F#, PHP, Ruby, Haskell, Go, Rust, and TypeScript (Deno) What makes it different? 1. Embeddable Widget: Add a fully working code editor to your website, blog, or documentation with a single script tag. Your readers can write and run code without leaving the page. 2. REST API: Integrate code execution into your own apps. Get an API key from the dashboard and start making requests. 3. Secure Execution: Every code submission runs in an isolated Docker container with resource limits, network isolation, and automatic cleanup. 4. Passwordless Login: Sign in with Google or a magic link. No passwords to remember. 5. Modern Dashboard: Manage your API keys, widgets, and view your complete execution history from a clean interface. Who is it for? - Technical writers adding code examples to documentation - Educators building interactive coding tutorials - Developers needing a quick sandbox to test snippets - SaaS platforms that want to offer code execution to their users Try it out: https://onlinecompiler.io I'd love to hear your feedback. What languages or features would you like to see next? #OnlineCompiler #DevTools #BuildInPublic #Python #Rust #WebDevelopment #API #Programming #OpenSource #EdTech
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🚀 Master OOPs Like a Pro & Write Scalable Code! 💡🔥 Object-Oriented Programming isn’t just a concept — it’s a superpower for developers 🧠⚡ From Encapsulation 🔒 to Polymorphism 🎭, from Inheritance 🧬 to SOLID Principles 🏆 — mastering OOP helps you: ✅ Write clean & maintainable code ✅ Build scalable applications 🚀 ✅ Think like a software architect 🧠 ✅ Crack interviews with confidence 💼 💡 Pro Tip: Great developers don’t just write code… they design systems! 👉 Start thinking in Objects, not just functions. 👉 Follow DRY, KISS & YAGNI principles. 👉 Prefer Composition over Inheritance. 🔥 The difference between a beginner and a pro? Code that works vs Code that scales! Let’s level up together 💪🚀 Medium - https://lnkd.in/g4xnbMs9 Google Blogs - https://lnkd.in/gwZ6Twub Personal Site - https://lnkd.in/gX7vyv64 Medium - https://lnkd.in/g4xnbMs9 #OOP #Programming #SoftwareDevelopment #CleanCode #SOLID #Developers #CodingLife #Tech #FullStackDeveloper #RubyOnRails #100DaysOfCode #DevCommunity
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Object-Oriented Programming (OOP) helps developers write clean, reusable, and scalable code. The 4 core principles: 🔹 Encapsulation – Protecting data inside a class 🔹 Abstraction – Hiding complex details 🔹 Inheritance – Reusing code from other classes 🔹 Polymorphism – One method, different behaviors As a MERN Stack Developer, applying OOP principles improves code structure and maintainability in JavaScript and backend development.
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#Day_12 🚀 Day 12 – 30 Days Coding Challenge Today I continued practicing Object-Oriented Programming (OOP) in JavaScript and explored concepts like Inheritance, Static Properties, Static Methods, and the "super" keyword. 🔹 Topics I Learned • Class inheritance using "extends" • Reusing parent class methods in child classes • Understanding static properties and static methods • Using the super keyword to access parent class constructors and methods • Building structured and reusable code using OOP principles 🔹 Concepts Practiced • Created an Animal parent class and extended it into Rabbit, Fish, and Hawk classes • Implemented shared functionality using inheritance • Used static properties to track the number of users created in an application • Built a Math utility class using static methods for calculations 🔹 Example Concept class MathUtil{ static PI = 3.14; static getCircumference(radius){ return 2 * this.PI * radius; } static area(radius){ return this.PI * radius * radius; } } console.log(MathUtil.area(3)); console.log(MathUtil.getCircumference(3)); console.log(MathUtil.PI); 🔹 Key Understanding Using OOP concepts like inheritance and static methods helps organize code better, avoid repetition, and build scalable applications. Every day I’m improving my JavaScript and full-stack development skills as part of my 30 Days Coding Challenge 💻🚀 #30DaysCodingChallenge #JavaScript #OOP #WebDevelopment #FullStackDeveloper #SoftwareDeveloper #CodingJourney #LearningInPublic #Programming Fortune Cloud Technologies Private Limited
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Strengthening Backend Development Fundamentals ⭐ Continuing to build my backend foundation by exploring some core programming concepts that are essential for developing structured and scalable applications. 📌 Concepts I practiced: • Handling GET and POST requests • Understanding how to handle POST request data • Exploring Object Prototypes and how inheritance works internally • Creating objects using Factory Functions • Working with the new operator • Writing and using Classes • Implementing Inheritance to reuse and organize code 🧠 Key takeaway: Understanding these concepts helps in writing clean, reusable, and well-structured backend code, which is crucial when building larger applications. Step by step continuing to strengthen my backend development skills. 💻 #BackendDevelopment #WebDevelopment #NodeJS #Programming #LearningInPublic #FullStackDeveloper
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Have you ever found yourself needing to handle multiple types in a single variable? Union and intersection types in TypeScript can simplify that! What’s your experience with managing complex types? ────────────────────────────── Union Types and Intersection Types in TypeScript Let's dive into union and intersection types in TypeScript and see how they can improve your code! #typescript #uniontypes #intersectiontypes #programming ────────────────────────────── Key Rules • Union Types allow a variable to be one of many types (e.g., string | number). • Intersection Types combine multiple types into one (e.g., A & B means it has all properties of both A and B). • Use union types for flexible APIs and intersection types for combining interfaces effectively. 💡 Try This type StringOrNumber = string | number; type Person = { name: string; }; type Employee = { id: number; }; type EmployeeDetails = Person & Employee; ❓ Quick Quiz Q: What do you use to combine multiple types in TypeScript? A: Intersection types. 🔑 Key Takeaway Embrace union and intersection types to make your TypeScript code more robust and maintainable! ────────────────────────────── Small JavaScript bugs keep escaping to production and breaking critical user flows. Debugging inconsistent runtime behavior steals time from feature delivery.
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Code. Debug. Learn. Repeat. 🔁 Full-stack development is a marathon, not a sprint. Some days are for mastering JavaScript frameworks, others are for tackling database schemas. The goal isn't to know everything—it's to become a better problem solver than you were yesterday. Every error message is just a hidden lesson. Stay curious and keep pushing those commits! 🚀 #FullStack #JuniorDev #Programming #TechCommunity #GrowthMindset
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TypeScript’s real superpower isn’t just catching bugs — it’s *type-level programming*. Lately I’ve been spending more time with **advanced generics and inference**, and it’s one of those areas that changes how you design APIs. A few patterns that feel especially powerful: - **Conditional types** to model branching logic at compile time - **`infer`** to extract types from functions, promises, tuples, and more - **Mapped types** to transform object shapes safely - **Variadic tuple types** to preserve arguments in higher-order utilities - **Generic constraints** to make APIs flexible *without* losing safety What’s exciting is that this isn’t just “type wizardry” for its own sake. Used well, type-level programming can: - make library APIs feel intuitive - eliminate entire categories of misuse - improve autocomplete and developer experience - let refactors happen with much more confidence The challenge, of course, is balance. Just because you *can* encode complex logic in the type system doesn’t always mean you should. The best TypeScript abstractions are the ones that make code easier to use, not harder to understand. A good rule of thumb: **push complexity into the type system only when it removes complexity from application code.** TypeScript keeps evolving into something much more expressive than “JavaScript with annotations,” and advanced generics are a big reason why. If you’ve been exploring this area, I’d love to hear: What’s the most useful `infer` / conditional type pattern you’ve used in production? #TypeScript #WebDevelopment #SoftwareEngineering #JavaScript #DX #FrontendDevelopment #Programming #WebDevelopment #TypeScript #Frontend #JavaScript
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✅ *Coding Skills Every Developer Should Build* 💻🧠 1️⃣ *Problem Solving* • Practice daily on LeetCode, HackerRank, Codeforces • Focus on logic, patterns, and optimization 2️⃣ *Master a Programming Language* • Python, Java, C++, or JavaScript • Learn syntax, functions, OOP, error handling 3️⃣ *Data Structures & Algorithms* • Arrays, Linked Lists, Trees, Graphs • Sorting, Searching, Recursion, DP 4️⃣ *Version Control (Git & GitHub)* • Track changes, collaborate, and manage projects • Learn commits, branches, merges, and pull requests 5️⃣ *Build Projects* • Start with small apps: To-do list, calculator • Move to full-stack apps: blog, e-commerce site, APIs 6️⃣ *Read and Understand Code* • Study open-source repos • Learn best practices, clean code, and code commenting 7️⃣ *Debugging Skills* • Use print statements, breakpoints, and debugging tools • Learn to trace errors and fix logic bugs 8️⃣ *Learn by Teaching* • Share your code on GitHub • Write blogs or make short videos explaining your projects
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TypeScript’s real superpower isn’t just catching bugs — it’s *type-level programming*. Advanced generics + inference let you move logic into the type system so your editor can understand APIs almost as well as your runtime does. A few patterns I keep coming back to: - **Conditional types** → model branching logic at the type level - **`infer`** → extract parts of complex types without manual duplication - **Mapped types** → transform object shapes in reusable ways - **Template literal types** → create expressive string-based APIs - **Variadic tuple types** → type-safe function composition and argument forwarding Why it matters: - Better autocomplete - Safer abstractions - Fewer invalid states - More ergonomic libraries - Stronger guarantees without extra runtime code Example mindset shift: Instead of saying “this function accepts some object” you can say “this function accepts an object, preserves its keys, narrows its values, and returns a shape derived from the input” That’s where TypeScript starts feeling less like annotations and more like a compile-time language. The challenge, of course, is balance. Just because you *can* build a 40-line recursive conditional type doesn’t mean you should. Great type-level programming makes APIs feel simple for users, even if the machinery underneath is sophisticated. My rule of thumb: **Use advanced types to reduce cognitive load, not increase it.** What’s your favorite TypeScript type trick — `infer`, distributive conditional types, template literals, or something else? #TypeScript #WebDevelopment #Frontend #JavaScript #SoftwareEngineering #DX #Programming #WebDevelopment #TypeScript #Frontend #JavaScript
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