<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Helidon on JAVAPRO International</title><link>https://javapro-en.svenruppert.com/tags/helidon/</link><description>Recent content in Helidon on JAVAPRO International</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Wed, 01 Apr 2026 12:00:01 +0000</lastBuildDate><atom:link href="https://javapro-en.svenruppert.com/tags/helidon/index.xml" rel="self" type="application/rss+xml"/><item><title>Free Java Training Videos Now Available: From Fundamentals to Modern Frameworks</title><link>https://javapro-en.svenruppert.com/new-java-training-playlists-now-available-from-fundamentals-to-modern-frameworks/</link><pubDate>Wed, 01 Apr 2026 12:00:01 +0000</pubDate><guid>https://javapro-en.svenruppert.com/new-java-training-playlists-now-available-from-fundamentals-to-modern-frameworks/</guid><description>&lt;p&gt;A comprehensive collection of Java training videos is now publicly available, offering developers valuable insights into modern backend technologies and frameworks.&lt;/p&gt;
&lt;p&gt;The playlists cover key topics including &lt;strong&gt;Spring Boot, Quarkus, Helidon, Payara, EclipseStore, and MicroStream&lt;/strong&gt;, providing both a strong foundation and deeper technical understanding. The content is designed for developers at all levels—from those starting with modern Java frameworks to experienced engineers looking to refine their expertise.&lt;/p&gt;
&lt;h2 id="structured-learning-across-the-java-ecosystem"&gt;Structured Learning Across the Java Ecosystem&lt;/h2&gt;
&lt;p&gt;Rather than presenting isolated tutorials, the playlists follow a structured approach that helps developers build a coherent understanding of essential concepts such as dependency injection, microservices architecture, data persistence, and performance optimization.&lt;/p&gt;</description></item><item><title>Bring AI into your Jakarta EE apps with LangChain4J-CDI (formerly SmallRye-LLM)</title><link>https://javapro-en.svenruppert.com/bring-ai-into-your-jakarta-ee-apps-with-langchain4j-cdi-formerly-smallrye-llm/</link><pubDate>Wed, 25 Feb 2026 07:00:01 +0000</pubDate><guid>https://javapro-en.svenruppert.com/bring-ai-into-your-jakarta-ee-apps-with-langchain4j-cdi-formerly-smallrye-llm/</guid><description>&lt;p&gt;&lt;strong&gt;Goal&lt;/strong&gt;: This article will demonstrate how to add AI features to a Jakarta EE / MicroProfile application using &lt;strong&gt;LangChain4J‑CDI&lt;/strong&gt;, with simple to implement examples that runs on Payara, WildFly, Open Liberty, Helidon, Quarkus or any CDI 4.x compatible runtime.&lt;/p&gt;
&lt;h2 id="what-is-langchain4j-cdi"&gt;What is LangChain4J-CDI?&lt;/h2&gt;
&lt;p&gt;Langchain4J is a Java library that simplifies the integration of AI and LLMs easier, and with their feature of AI services it provides a declarative and type-safe API for developers to define interfaces that represent AI services, abstracting away the complexities of direct LLM communication&lt;/p&gt;</description></item><item><title>Gen-AI with Java: Build an Intelligent Chat Assistant in Just Two Hours</title><link>https://javapro-en.svenruppert.com/gen-ai-with-java-build-an-intelligent-chat-assistant-in-just-two-hours/</link><pubDate>Wed, 30 Apr 2025 12:17:30 +0000</pubDate><guid>https://javapro-en.svenruppert.com/gen-ai-with-java-build-an-intelligent-chat-assistant-in-just-two-hours/</guid><description>&lt;p&gt;Generative AI is no longer limited to research labs – it’s ready for real-world application. At &lt;strong&gt;&lt;a href="https://2025.europe.jcon.one/"&gt;JCON EUROPE 2025&lt;/a&gt;&lt;/strong&gt;, Java developers will have the opportunity to experience exactly that: In a two-hour workshop, participants will learn how to build an intelligent chat assistant from scratch using &lt;strong&gt;Helidon&lt;/strong&gt; and &lt;strong&gt;LangChain4J&lt;/strong&gt; – practical, production-ready, and Java-first.&lt;/p&gt;
&lt;h2 id="from-concept-to-working-application"&gt;From Concept to Working Application&lt;/h2&gt;
&lt;p&gt;The hands-on session &lt;strong&gt;“&lt;a href="https://schedule.jcon.one/session/896438"&gt;Build an AI-Powered Application with Helidon and LangChain4J&lt;/a&gt;”&lt;/strong&gt; focuses on direct implementation: no slides, no theory – just real code, modern tools, and comprehensible architectures. The goal is to create a functional Gen-AI-powered chat assistant that not only works as a demo but can also be expanded into real-world projects.&lt;/p&gt;</description></item></channel></rss>