Introducing BrowserPod: Run Node.js, Python, Rails in Browser

🔍 Top Open-Source Tools Every Golang Developer Should Know Debugging and optimizing Golang (Go) applications requires the right set of tools—especially when dealing with performance tuning, concurrency issues, or dependency conflicts. Fortunately, the Go ecosystem offers several powerful open-source solutions that streamline troubleshooting and help maintain high-quality code. Here are the essential tools for debugging, profiling, and analyzing Go applications: 🛠️ Key Open-Source Tools for Debugging Go 1. Delve The official Go debugger. Provides seamless CLI and IDE support to set breakpoints, inspect variables, and analyze goroutines and stack traces. 2. Go Tool Trace Part of the Go toolchain. Ideal for visualizing program execution, analyzing latency, and understanding scheduling behavior. 3. pprof Go’s built-in CPU and memory profiler. Helps diagnose performance bottlenecks, memory leaks, and heavy resource utilization. 4. GoVet A static analysis tool that flags suspicious code patterns and common logic errors—critical for catching defects early in CI/CD pipelines. 5. Staticcheck An advanced linter providing deeper static analysis than GoVet. Focuses on correctness, maintainability, and performance. 6. GolangCI-Lint A fast, all-in-one linter aggregator. Combines and runs multiple linters simultaneously for standardized and efficient code reviews. 7. Go Race Detector Built directly into the Go runtime. Automatically identifies data races in concurrent applications—an essential tool for multithreaded workloads. 8. Go Modules (go.mod / go.sum) Not a debugging tool in the traditional sense, but extremely useful for troubleshooting dependency issues, version conflicts, and reproducibility. 9. VS Code Go Extension Provides smooth debugging, breakpoints, variable inspection, and integrated analysis inside Visual Studio Code. 10. GoLand A feature-rich IDE with advanced debugging, code navigation, and profiling capabilities tailored for Go developers. 🔗 Original Article Top Open Source Tools to Debug Golang Code: 👉 https://lnkd.in/erdBrWnb 🎯 Final Thoughts With the right combination of these tools, Go developers can move from reactive debugging to proactive code quality and performance management. Whether you’re optimizing microservices or building distributed systems, these tools form a solid foundation for dependable Go development. 💬 Which tools do you rely on most when debugging Go? Share your experience in the comments! #Golang #GoProgramming #Debugging #OpenSource #SoftwareEngineering #PerformanceOptimization #DevTools

Someday I was thinking about reviewing some old projects with my current knowledge to see how much I’ve improved over time. I found an old project using WebSockets for a realtime chat, and after analyzing my code, I caught myself wondering: “How would I do this kind of project now?” With that in mind, I decided to start a new project using WebSockets to test my evolution, but I added a challenge: making the software work in a distributed way. Before starting the planning and development, I asked myself: “What kind of solution should I build?” Then I remembered something we developers do a lot in our day-to-day work: scrum poker meetings. So, I created an application with Node.js and Angular using Socket.io to handle this task. I set up everything to run inside a container with Docker Compose and used an Nginx server as a load balancer to test the distributed setup. Since socket connections could be established across different server instances, I needed a way for sockets in different instances to communicate. To solve this, I used the Redis adapter provided by Socket.io, which allows messages to be broadcast across all application instances. Without this feature, I would probably have used a message queue with topics (RabbitMQ, Kafka, etc.) to handle socket messages and deliver them to the correct clients in my cluster. This project was a great opportunity to revisit old concepts, explore distributed architectures, and challenge myself with real-world problems. It also served as my starting point with Angular, helping me get hands-on experience with a modern front-end framework. Overall, it strengthened my understanding of WebSockets, scaling applications, and showed how much we can grow as developers by reflecting on past work and applying new approaches. if you are curious about this project, you can check it in this repository on Github: https://lnkd.in/dDbj8c9c #nodejs #angular #socketio #docker

Just saw the Aspire 13 release notes and I'm genuinely impressed with how far this platform has come! The rebrand from ".NET Aspire" to just "Aspire" reflects what it's become: a true polyglot application platform. Python and JavaScript developers can now use Aspire with the same first-class experience that .NET devs have enjoyed, complete with debugging support, automatic Dockerfile generation, and seamless orchestration. The new aspire do pipeline system and VS Code extension make the developer experience even smoother. And the fact that you can now build a full-stack app with a Python backend and React frontend, all orchestrated through a single AppHost? That's pretty cool. Worth a look if you're working on distributed applications or microservices. https://lnkd.in/e4UGBT9c

The advanced and practical Node.js questions to test your knowledge. 1. Why is Node.js called single threaded? And is it true? 2. Explain event loop with its stages. 3. Explain how setImmediate, process.nextTick, and setTimeout differ in execution order. 4. You have to process a 2 GB file on Node server but total memory of machine is 1 GB. How would you process without blocking main thread? 5. What is the difference between child process and worker thread? 6. . When would you initiate child process and worker thread? 7. How would you debug a high CPU usage issue in a Node.js application? 8. How do you handle CPU intensive tasks on Node.js? 9. What happens when you block Node.js event loop? 10. What happens to incoming network requests when the event loop is blocked? 11. Explain how Node handles multiple request concurrently despite being single-threaded? 12. How would you scale a Node.js application for high traffic? 13. Explain the security risks in Node.js applications and how to mitigate them. 14. How does rate limiting work in Node.js, and how would you implement it? 15. How would you implement an efficient background job processing system in Node.js? 16. How do you monitor the application and implement logging? 17. How do you detect and handle memory leaks in a Node.js application? 18. How much is Node.js different from chromium implementation of V8 engine? 19. How do you handle authentication in your app? 20. What is your favourite framework and why? 21. Have you ever implemented a c++ add-on in Node.js? 22. Have you worked with streams? And what problems you solved? 23. How to handle cryptography related operations in your apps? 24. What is module? 25. How to work with large data files? 26. How do you measure performance of your code? What would you like to add? #nodejs #javascript #backend #programming

Starting Your Software Development Journey? The first step is choosing a path that aligns with what you want to build. There are several directions you can take; backend engineering, frontend development, mobile development, and more. If you’re leaning toward backend engineering, there are many great languages to choose from. One of the most popular (and beginner-friendly) is Python. Python is trusted by startups and large companies alike to build secure, high-quality web applications. Its simplicity and readability make it a great choice for beginners. When it comes to web development in Python, two frameworks stand out: Django comes with built-in features like authentication, forms, and an admin panel. It’s perfect for developers who want security and productivity out of the box. Companies like NASA, Dropbox, and Google use Django. The tradeoff? It has a steeper learning curve for beginners. Flask A lightweight and flexible framework that’s great for learning the fundamentals and building smaller applications. It’s easy to get started but requires more setup as your app grows. No matter which you choose, both Django and Flask are excellent paths into backend development with Python.

🚀 I’m excited to announce a major update to LeetParse For the past few months, I’ve been working on a Chrome extension that generates ready-to-run code snippets for LeetCode problems, which you can execute directly in your local IDE. It also extracts test cases and expected outputs, and works seamlessly with the CPH extension for one-click export into VS Code. I use the CPH extension daily for solving Codeforces problems, but there wasn’t any similar tool for LeetCode. I also found the LeetCode IDE limiting — it’s slow (especially without premium), lacks proper debugging tools, doesn’t support custom templates or snippets, and makes adding custom test cases cumbersome. Considering these issues, I developed the LeetParse extension. Features - • One-Click Problem Parsing. • Multi-Language Support: C++, Java, and Python (extensible for more languages). • Custom test cases. • Works with problems that require designing custom classes (e.g., LRU Cache). • Built-in support for LeetCode structures like ListNode and TreeNode. • Save Your Code Templates. • One-click export to VS Code using the Competitive Programming Helper (CPH) extension. (With expected output extraction) Installation - • Chrome Extension (LeetParse) : https://lnkd.in/gspHCbUs • VS Code (cph-leetparse) extension: https://lnkd.in/gWGFy58R (Uninstall the old CPH first then download the new updated version) Download the extension using the links above. If you want to contribute, please use the GitHub repo https://lnkd.in/gFw2E52Q . Who it’s for - Whether you’re preparing for interviews or sharpening competitive programming skills, LeetParse is built to save time and let you focus on problem solving not setup. Feedback welcome - If you try it, please drop feedback or feature requests in the GitHub Issues, or comment below. I’d love to hear how it fits into your workflow and what language or editor support you want next. Please rate the extension on Chrome web store. Happy coding! 💪 #LeetParse #CompetitiveProgramming #ChromeExtension #LeetCode #DevTools #VSCode #OpenSource #Cplusplus #Java #Python #CPH #ProductivityTools #GitHub

JetBrains Research just released LitmusKt - a novel concurrency testing tool that found and fixed bugs in the Kotlin compiler itself! LitmusKt is specifically designed for Kotlin's unique multi-platform architecture, testing concurrency across JVM, Native, and  JavaScript backends simultaneously. This addresses a critical challenge in Kotlin Multiplatform development where concurrency bugs can manifest differently across platforms. Key capabilities: • Automated concurrency bug detection across all Kotlin backends • Memory model consistency verification for multiplatform code • Integration with Kotlin compiler testing infrastructure • Detects race conditions, memory ordering issues, and atomicity violations The tool already proved its value by discovering previously unknown concurrency issues in the Kotlin compiler, leading to immediate  fixes. For teams building Kotlin Multiplatform applications, this means more reliable concurrent code across all target platforms. This is a game-changer for enterprise teams relying on Kotlin Multiplatform for mission-critical applications where concurrency  correctness is non-negotiable. Read more: https://sol4.space/k11N3 #Kotlin #KotlinMultiplatform #Concurrency #Testing #JetBrains #CompilerEngineering #SoftwareQuality #JVM #Native #JavaScript

🚀 Working with Golang projects, I've noticed a common pattern: engineers misusing the context package in ways that can lead to subtle bugs and unexpected behavior. After seeing critical database operations get cancelled because of client disconnects, and background tasks failing due to improper context propagation, I decided to write a comprehensive guide on mastering Go's context package. Key takeaways from the article: ✅ When to use request contexts vs. independent contexts ✅ How to prevent database operations from being cancelled unexpectedly ✅ Best practices for background goroutines and context isolation ✅ Proper use of WithValue with user-defined types The difference between passing r.Context() vs context.Background() to your database operations can mean the difference between a robust system and one that fails mysteriously when clients disconnect. Read the full guide: https://lnkd.in/dynHnkfx Have you encountered context-related issues in your Go applications? What patterns have you found most effective? #golang #backend #programming #webdevelopment #softwaredevelopment #concurrency

Day 10 of making my slef a BRAND 1 : Node js depend on Googles V8 to convert js code into machine code and libuv for file accessing and thread pools etc 2 : As in node environment js runs in a single thread, 1. program is initiallized, 2. top level code is executed, 3.modules are required, 4. callbacks are registered, 5 . event loop starts running. 3 : event loops executes the callbacks and if some code takes longer to run that is pushed to threads in the thread pool 4 : there can be 4 - 128 threads in the thread pool 5 : Node js is based on event driven architeccture, which means that events are thrown on multiple occassion eg. file reading is finished 6 : And callbacks are associated with events, those callbacks are executed in event loop 7 : And callbacks taking more time are provided to one of the thread from thread pool to be executed in background #NodeJS #JavaScript #BackendDevelopment #FullStackDeveloper #WebDevelopment #SoftwareEngineering #Programming #AsyncProgramming #EventLoop #V8Engine #Libuv #ThreadPool #NodeJSEventLoop #JavaScriptDeveloper #MERNStack #TechLearning #CodingJourney #DeveloperCommunity #CodeNewbie #NodeJSTips #JSPerformance #Concurrency #NonBlockingIO #ServerSideJS #WebDevCommunity #BackendEngineer #ScalableApps #TechEducation #LearningInPublic #BuildInPublic #100DaysOfCode #DeveloperLife #WebEngineering #CodingInsights #JSRuntime #NodeInternals #ProgrammingConcepts #AsynchronousCode #CodeWithUzair #TechExplained #JSArchitecture #SoftwareDeveloper #NodeJSLearning #NodeJSEngine #CodingDaily #CodeSharing #NodeMastery #V8AndLibuv #TechContent #DeveloperGrowth

APIs: The silent bridge that keeps the internet running. 🌐 Every time you check the weather, log in with Google, or make an online payment — you’re using an API. Think of an API (Application Programming Interface) as a messenger between two systems: 🖥️ One system makes a request. 💾 The API delivers it. 🌍 The other system responds. It’s the backbone of modern software communication — and understanding it can completely change the way you build. If you’re learning backend or full-stack development, mastering APIs is like unlocking a new superpower. ⚡ #WebDevelopment #APIs #BackendDevelopment #SoftwareEngineering #Programming #FullStackDeveloper #TechLearning #Developers #JavaScript #Python #NodeJS #CodingCommunity #InternJourney