Initial Griffon Support

When it comes to apps functioning efficiently, there is always room for improvement. Fast, lag-free, smooth operation – what else can a Java developer dream of? However, when you aim for this level of perfection in your app, you will need a comprehensive toolset to monitor performance and identify problems for further analysis. That’s where profiling tools come in handy. IntelliJ IDEA has tight integration with several of the most popular Java profilers that you can run on your project without leaving the IDE. First things first We advise that you get acquainted with the supported Jav

Usually, issue trackers and IDEs go hand in hand, which is why we’ve revamped the YouTrack plugin for IntelliJ-based IDEs. The plugin integrates with your favorite JetBrains IDEs – AppCode, CLion, DataGrip, GoLand, IntelliJ IDEA, PhpStorm, PyCharm, Rider, RubyMine, and WebStorm, as well as with Android Studio, and provides you with access to your issues and notifications right from the IDE. We have significantly reworked the plugin’s time tracking logic to let you spend your time on your code, not on tracking your time. Read on for more details! A pocket-size tracker Teams that use issue

Though IntelliJ IDEA is a fully capable IDE, you may want to personalize it. The JetBrains Marketplace has plenty of plugins with useful features that can address your personal or business-specific needs. The library is enormous, and it can be a bit easy to get lost. In this blog post, we’ll share our recent and all-time favorite plugins. We are also curious about what plugins you love, so please share in the comments. And as a quick reminder, you can install all the plugins via Preferences/Settings | Plugins or the Plugins tab on the Welcome screen. Let’s go! Hits Jump to Line

On April 21, 2021, we had the pleasure of hosting the live stream ‘Spring Boot Loves K8s’ by Madhura Bhave, one of the awesome software engineers on the Spring Boot Team. The code in this live stream can be accessed using this link. Session details In this live stream, Madhura demonstrated features introduced in Spring Boot 2.3 and later versions that improved developing and deploying Spring Boot applications to Kubernetes. She covered four main improvements: building efficient container images, liveness and readiness probes, graceful shutdown and loading ConfigMaps and Secrets. To demonst