🚀 Built my first CI/CD pipeline while making a Java Snake Game! 🎮 Demo in the video ⚙️ Maven for build automation 🔁 GitHub Actions for CI/CD 👉 What I learned while building CI/CD for the first time: • Maven lifecycle (clean → package) • Writing GitHub Actions YAML • Fixing a 403 permission error in workflows • Updating deprecated artifact upload to v4 🔗 GitHub Repo: https://lnkd.in/gY7beNKA 📦 Latest JAR Release: https://lnkd.in/gRrNMWcJ 👉 You can click on the latest JAR release to download the file and start playing the game directly 🎮 This project really helped me understand how real-world DevOps pipelines work beyond just writing code. #DevOps #CICD #GitHubActions #Maven #Java #LearningByDoing #Projects

🚀 Just dropped a new tutorial for Atlassian admins and developers! Want to quickly uncover all groups used across Jira, Confluence, and Jira Service Management using Python? 👇 In this video, I walk you through a practical script that helps you: ✔ Identify group usage across products ✔ Clean up unused groups ✔ Improve permission audits and security Whether you’re managing dozens or thousands of users, this is a tool you’ll want in your admin toolkit. 👉 Watch now: https://lnkd.in/dUMqBpSj #Atlassian #Jira #Confluence #JSM #Python #DevOps #AdminTools #Automation #Productivity

The Java inference engine deliverance (https://lnkd.in/en-BAHPS) has its 3rd release. New features: stop_tokens support (save computer to stop at user defined keywords maven vibe plugin https://lnkd.in/e_AxVwDB support for semantic search with the #mongo leaf model other stuff I forgot! #java #ai

I’ve been evaluating Gemini Code Assist plugin in IntelliJ IDEA as part of my regular Java/backend development workflow. Key technical takeaways so far: • Context-aware code completion that understands project structure, imports, and existing patterns • Inline refactoring support (method extraction, code cleanup, naming suggestions) • Natural-language to code for generating boilerplate, service logic, and test scaffolding • On-the-fly explanations for unfamiliar code paths and complex logic • Error and warning resolution hints integrated directly with IntelliJ inspections What I found most useful is reduced cognitive overhead — fewer context switches to external tools while debugging or navigating large codebases. It fits well into day-to-day tasks like API implementation, service-layer refactoring, and reviewing legacy code. AI-assisted development inside the IDE is quickly moving from “nice to have” to “practically essential.” Gemini Code Assist is a solid step in that direction. #GeminiCodeAssist #IntelliJIDEA #Java #BackendEngineering #SoftwareArchitecture #DeveloperTools #AIForDevelopers

UI Works. But Will It Scale? Functional tests only tell part of the story. Real systems break when load increases. 𝗧𝗵𝗲 𝗠𝗮𝘀𝘁𝗲𝗿 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 𝗚𝗮𝘁𝗹𝗶𝗻𝗴 + 𝗦𝗰𝗮𝗹𝗮 + 𝗝𝗲𝗻𝗸𝗶𝗻𝘀 𝗖𝗼𝘂𝗿𝘀𝗲 with Vignesh Srinivasa Raghavan helps testers move beyond UI checks and learn how to validate performance like professionals 𝗧𝗵𝗿𝗼𝘂𝗴𝗵 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱, 𝗵𝗮𝗻𝗱𝘀 𝗼𝗻 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘆𝗼𝘂 𝘄𝗶𝗹𝗹 ✨ Understand performance testing fundamentals and key metrics ✨ Learn Scala basics needed for Gatling scripting ✨ Build realistic performance test scripts with Gatling ✨ Create end to end projects using Maven Jenkins and Grafana ✨ Analyze reports and identify real performance bottlenecks With 𝟭𝟭𝟬+ 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝗹𝗲𝘀𝘀𝗼𝗻𝘀, this course prepares you to design execute and monitor performance tests the way real teams do If you want to test how systems behave under real load 👉 𝗦𝘁𝗮𝗿𝘁 𝗺𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝗚𝗮𝘁𝗹𝗶𝗻𝗴 𝗵𝗲𝗿𝗲 https://lnkd.in/gY2KEpbR #PerformanceTesting #Gatling #AutomationTesting #QASkill

Most automation journeys fail at one place. 𝘞𝘦𝘢𝘬 𝘑𝘢𝘷𝘢 𝘧𝘶𝘯𝘥𝘢𝘮𝘦𝘯𝘵𝘢𝘭𝘴. 𝗧𝗵𝗲 𝗖𝗼𝗿𝗲 𝗮𝗻𝗱 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗝𝗮𝘃𝗮 𝗳𝗼𝗿 𝗤𝗔𝘀/𝗦𝗗𝗘𝗧𝘀/𝗧𝗲𝘀𝘁𝗲𝗿𝘀 𝗖𝗼𝘂𝗿𝘀𝗲 with Saumyaranjan Das is built specifically for testers who want to move confidently into automation 𝗧𝗵𝗿𝗼𝘂𝗴𝗵 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹, 𝘀𝘁𝗲𝗽 𝗯𝘆 𝘀𝘁𝗲𝗽 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘆𝗼𝘂 𝘄𝗶𝗹𝗹 ✨ Understand Java concepts from absolute basics ✨ Build strong foundations in Object Oriented Programming ✨ Work deeply with inheritance abstraction and encapsulation ✨ Practice strings arrays wrapper classes and control flow ✨ Learn Java the way automation testers actually need it This course focuses on real understanding instead of just syntax If you want to build automation on a solid Java base 👉 𝗦𝘁𝗮𝗿𝘁 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗝𝗮𝘃𝗮 𝗵𝗲𝗿𝗲 https://lnkd.in/gXMPG4-m #Java #AutomationTesting #SoftwareTesting #QASkills

AI-Assisted Refactoring: Copilot vs. Legacy Java Headaches Today I lost an hour to a gnarly legacy Java method until Copilot spit out a refactoring I hadn’t thought of—still needed me to spot the side-effect it missed, though. Having Copilot watching over my shoulder in IntelliJ makes tearing through 2011-era Java a bit less soul-crushing. It cranks out loop rewrites, lambda replacements, even some decent JUnit 5 test scaffolds. But I noticed it totally missed a thread-safety trap that would've slipped into prod if I wasn't reviewing actively. Anyone else seeing Copilot paper over sketchy patterns that still need a veteran’s eye? #SoftwareEngineering,#Java,#AIinDev,##IntelliJIDEA,#Copilot,#JUnit5,#CodeReview

Funny how learning the simple things can significantly reduce repetitive work. While I’ve been using Spring Boot to develop APIs for a while, I hadn’t really worked with JUnit earlier. Recently, after watching a few tutorials and getting a basic understanding, I decided to try it out on some of my projects and it turned out to be genuinely helpful. Writing proper test cases aligned with the AAA pattern (Arrange, Act, Assert) helps avoid the repetitive cycle of manually testing existing functionality every time a new feature is added. With JUnit in place, you automatically get clear feedback through test results and logs on how existing services behave. Using Mockito alongside this makes it easier to mock dependencies or services we don’t want to expose, allowing us to test components in isolation. This significantly reduces manual testing efforts (apart from essential smoke tests, of course). Taking it a step further, learning GitHub Actions helped me understand how testing and build validation can be integrated into CI practices. While JUnit takes care of validating functionality, GitHub Actions ensures that every change pushed to a branch is tested and built consistently. This makes deployments smoother, with fewer surprises across different environments. Small improvements in testing and CI really do add up to better code quality and confidence in every release. #JUnit #Mockito #SpringBoot #GitHubActions #CI #ContinuousIntegration #SoftwareEngineering #BackendDevelopment #Java #CleanCode #LearningJourney