Streamline Node and Java Version Management for React Native and Android

🚀 Excited to share my progress in learning the .NET ecosystem and C# fundamentals! 🔹 Task 1: Understanding .NET Framework & .NET Core I explored the differences between: .NET Framework → Best for Windows-only, legacy applications .NET Core → Cross-platform, high performance, modern apps .NET 6/7/8 → Unified, optimized, and the future of .NET 💡 Key takeaways: .NET Core and later versions support cross-platform development (Windows, Linux, macOS) Improved performance and scalability compared to .NET Framework Learned how to set up the development environment using .NET SDK & Visual Studio Explored NuGet for managing project dependencies 🔹 Task 2: C# Basics & OOP Applied core programming concepts by building a simple Library Management System 📚 ✔ Features I implemented: Add / View / Borrow / Return books Used List to manage data Applied Object-Oriented Programming (OOP) concepts: Encapsulation (Book class with properties) Methods for operations (Add, Borrow, Return) Practiced: Data types & variables Methods & control structures Properties & basic class design 💡 This project helped me understand how to structure clean and maintainable C# code. ✨ This is just the beginning of my journey into backend development with .NET. Looking forward to diving deeper into APIs, databases, and advanced OOP! #DotNet #CSharp #OOP #BackendDevelopment #Programming #SoftwareEngineering #LearningJourney  #CodvedaAchievements #CodvedaProjects

Swift 6.3 officially brings Android support Swift 6.3 has been released, and it includes the first official Swift SDK for Android. This release moves Swift on Android from nightly preview builds into the official Swift release line. With Swift 6.3, developers can target Android with Swift, update Swift packages to build for Android, and integrate Swift code into existing Android apps written in Kotlin or Java by using Swift Java and Swift Java JNI Core. Swift.org describes this as a significant milestone for cross platform development in the language. This release follows the Android SDK preview announced in October 2025. At that stage, Swift introduced nightly preview releases of the Swift SDK for Android and positioned the Android Workgroup as the group driving the platform forward. Swift has also published official setup documentation for the Android SDK. The documented setup requires three components: the Swift toolchain, the Swift SDK for Android, and the Android NDK. The same guide explains that Android builds are cross compiled from a desktop host such as macOS or Linux to an Android target. Here is the guide: https://lnkd.in/deB4W_6J Swift’s platform support page currently lists Android as a deployment only platform, with a minimum deployment target of Android 9, API 28. That means Swift can officially target Android, but Android is not listed as a platform that runs the Swift development tools themselves. From a runtime perspective, Swift compiles directly to native machine code on Android and bundles the native runtime needed for the standard library and core libraries such as Dispatch and Foundation. Swift also relies on Java interoperability tooling to work with Android APIs exposed through Java and Kotlin.

I built **PomoWatch** — a minimal Pomodoro timer for the desktop. **Features:** - Work, short break, and long break timers - Configurable session durations and cycle count - Start, pause, and reset controls - Completed session counter - Multiple themes **Install on Ubuntu:** ``` wget https://lnkd.in/gGgUp-WY sudo apt install ./pomowatch_0.1.0-1_all.deb pomowatch ``` Or run from source with uv: ``` uv run main.py ``` Beyond the app itself, the repo is also a practical reference for two things that often feel abstract until you work through them hands-on: **Debian packaging** — the project includes a full `debian/` directory with a working `dpkg-buildpackage` setup. It covers control files, install rules, changelogs, and how to produce a distributable `.deb` that installs cleanly via `apt`. **Docker containerisation of a desktop GUI** — the included `Dockerfile` demonstrates how to run a Tkinter app inside a container by forwarding X11 from the host, including display and audio device passthrough. A useful pattern if you have ever wondered how to containerise GUI apps on Linux. Both are documented in the README and `BUILD_DEB.md` if you want to follow along or adapt them to your own projects. **Source code:** 👉 https://lnkd.in/gNbtVpDQ Open source. Contributions and feedback are welcome. #productivity #opensource #pomodoro #linux #debian #docker #packaging #developers

This bug cost me hours and it wasn’t even visible. Pushed code that worked perfectly on my machine. CI pipeline failed instantly on Linux. The culprit? Something most developers never notice. We were migrating a Java Spring Boot application to Azure, with a Bitbucket CI/CD pipeline running on Linux. All tests passed locally on Windows. But the pipeline kept failing with this cryptic error: [ERROR] SomeTest.java:[1,1] illegal character: '\ufeff' [ERROR] class, interface, enum, or record expected No logic issue. No syntax error. The problem was UTF-8 with BOM, Windows had added 3 invisible bytes at the start of Java files. The Linux Java compiler doesn’t accept it. Fix: Re-saved files as UTF-8 without BOM -> pipeline turned green. 7 files affected. Hours saved (after hours lost 😄). Cross-platform differences (encoding, line endings, case sensitivity) can silently break CI pipelines. If you code on Windows but build on Linux, check your file encoding. Invisible characters can break very visible things. #Java #CICD #DevOps #SpringBoot #CloudMigration #TIL

C++ is often associated with performance-critical applications, but its true strength lies in how deeply it connects you to the system. From system programming and operating systems to high-performance applications, C++ gives you control that few languages can match. To dive deeper into this, I recently built a custom Unix shell from scratch — and the experience was both challenging and rewarding. What my shell can do: ->Display a dynamic prompt and read user input ->Parse commands and arguments ->Execute standard programs like ls, cat, grep ->Handle built-in commands such as cd, exit, and help ->Support piping (ls | grep .cpp) Gracefully handle interrupts like Ctrl + C Example interactions: help pwd ls ls -la cd /tmp pwd echo hello world ls | grep myshell exit What I learned: ->How processes are created and managed (fork, exec) ->Inter-process communication using pipes ->Signal handling and making programs robust ->Parsing and interpreting user input at a low level Although it is a very small project, but it made me appreciate how tools we use daily (like the terminal) actually work behind the scenes. It’s fascinating how much control C++ provides when working close to the system. If you're learning C++, I highly recommend building something like this — it's one of the best ways to truly understand system-level programming. If you want to check out what I made: https://lnkd.in/gnfK3EMv #CPlusPlus #SystemProgramming #Unix #Linux #SoftwareEngineering #LearningByDoing #Projects

Cutlet uses Claude Code. The LLM emits every line. Source, build steps, and examples live on GitHub. It runs on macOS and Linux and ships a REPL. It supports arrays, strings, double numbers, a vectorizing meta-operator, zip/filter indexing, prototypal inheritance, and a mark-and-sweep GC. Development ran through an agentic pipeline: tests and example programs as integration checks, linters, ASan/UBSan builds, runtime dumps, pipeline tracers, and Docker with full agent permissions. Yes, full agent permissions. Workflows favor agentic pipelines that frontload specs and expose tests, tracers, and runtime tools. LLMs run with broad runtime access. https://lnkd.in/eh_kRGms --- Want similar stories? Join 👉 https://faun.dev/join

Today lets know about "what is SHEBANG" in Linux scripting 😊 Shebang is the first line in the script. "#!/bin/bash" it tells the system which interpreter to run the script Without shebang, the system may not know how to run the script properly, it is very important for scripting and automation. now let us write shebang with different interpreters #!/bin/bash - runs with Bash #!/usr/bin/python3 - runs with Python #!/usr/bin/php - runs with PHP #DevOps #Linux #AWS #ShellScripting #CloudComputing #Automation

Live Java class insights: Mastering Interfaces! 🚀 Deep dive into Java Interfaces today—standardization contracts with public static final vars & abstract methods (those 12 rules!). OS Standardization Demo OperatingSystem interface: boot() & shutdown() implemented across Windows/Mac/Linux—polymorphism in action via objects. Pure standardization win! JDK Evolution Fix Pre-JDK8: Adding methods broke everything. JDK8+ solution: Default methods: Concrete, inheritable (e.g., installApps() w/ internet/storage checks) Static methods: Interface.call() utilities Private methods (JDK9): Internal reuse Private static: Shared static logic @FunctionalInterface enforces single abstract method. Backward compatibility nailed! Key Takeaway From empty marker interfaces (Serializable) to concrete power—Interfaces evolved for real-world scaling. Next: Exceptions & Multithreading. Practice those assignments! What's your go-to interface use case? #Java #JDK8 #Interfaces #Programming #LearningUpdate TAP Academy

Deployed a WAR file… but it wasn’t accessible until I changed the port. Day 11 of #100DaysOfDevOps ✅ Today’s task was to deploy a Java web application (ROOT.war) on Tomcat and run it on a custom port instead of the default 8080. The deployment itself was straightforward place the WAR file in the webapps directory and Tomcat handles the rest. Key takeaway: Tomcat auto-deploys applications, but correct configuration (like ports) is just as critical to make them accessible and avoid conflicts in real environments. Day 11 complete. 89 to go 🚀 GitHub 👇 https://lnkd.in/dk8Frue7⁠� #DevOps #Linux #Tomcat #Java #ApplicationDeployment #100DaysOfDevOps #LearningInPublic #SRE #DevOpsEngineer