Visual Studio Code Boosts Java Dependency Viewer -- Visual Studio Magazine

Visual Studio Code Boosts Java Dependency Viewer

By David Ramel
02/20/2020

Easier management of project code dependencies and improvements to extensions for popular Java frameworks and runtimes highlight the February update to Java in Visual Studio Code functionality.

Java tooling is provided through various VS Code extensions, which can be downloaded together with the Java Pack Installer from Microsoft's Java in Visual Studio Code page.

The February update focuses on helping developers wrangle dependencies and Java Development Kits (JDKs), among other improvements.

"Whether your use any build tool or not, Java Dependency Viewer now provides you an easy way to deal with your dependencies," said Xiaokai He, senior program manager for Java on Visual Studio Code and Azure, in a Feb. 19 blog post.

**[Click on image for larger, animated GIF view.]** Java Dependency Viewer in Animated Action *(source:Microsoft).*

For example, developers can click a "+" button to quickly add a dependency to projects using the Maven build automation tool, while the experience for referencing binary jars in a local file system in projects not using build tools like Maven and Gradle is similar.

For developers having to deal with multiple Java runtimes, the update introduces a new preference mapping java.configuration.runtimes for Java execution environments in order to configure local JDK runtimes. The code editor automatically detects the runtime required for your project and chooses the appropriate configuration.

Those aforementioned extensions that supply Java functionality in the open-source, cross-platform editor also received their own improvements.

"If you're working with popular Java Frameworks such as Spring Boot and MicroProfile, Visual Studio Code has you covered as well," He said. "Below are some exciting new capabilities now available with those extensions

Spring Boot Tools now reports connection failures in live hover.
Newly released MicroProfile Extension Pack now includes MicroProfile Starter for you to quickly generate a MicroProfile Maven project along with development tools for runtimes such as Open Liberty and Quarkus with lots of new features.
If you're working with any Red Hat server and runtime products such as Wildfly or JBoss, checkout Server Connector which allows you to start, stop and deploy to any of them."

Other improvements include new code actions, a debugger tweak that adds a context menu to control other threads, and more.

About the Author

David Ramel is an editor and writer at Converge 360.

Printable Format

comments powered by Disqus

Featured

In .NET 9 Debut, Microsoft Focuses on .NET Aspire, AI

Microsoft shipped .NET 9 today with the dev team highlighting .NET Aspire and AI in a keynote and follow-on sessions of the livestreamed launch event.
Microsoft Intros 'Guided Chat Experience' for GitHub Copilot in Visual Studio

Microsoft introduced a new guided chat experience within GitHub Copilot, aiming to make developer interactions with AI more natural and effective.
Microsoft's Open-Source Semantic Kernel AI Toolkit Extends to AWS Cloud

Microsoft announced its open-source Semantic Kernel toolkit for integrating advanced AI models into applications is now available on the Amazon Bedrock managed service.
Microsoft Previews Copilot AI in SQL Server Management Studio

In announcing SSMS 21 Preview 1 this week, Microsoft revealed Copilot AI for the tool is also being previewed, privately.
DBSCAN Clustering and Anomaly Detection Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of data clustering and anomaly detection using the DBSCAN (Density Based Spatial Clustering of Applications with Noise) algorithm. Compared to other anomaly detection systems based on data clustering, DBSCAN can find significantly different types of anomalies.