Quarkus at JavaZone 2026 #55075
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Event Description: JavaZone is the biggest community-driven Java conference that has been organized in Oslo, Norway since 2001. It is organized on a voluntary basis by a group of people from javaBin, the Norwegian Java User Group, working around the year and putting many hours to create an amazing conference experience for you.
Date: September 2nd-3rd, 2026
Location: Oslo, Norway
Event Type: In-Person
https://2026.javazone.no/
Sessions
Session: Building secure AI agents with Quarkus LangChain4j
Speaker(s): Radek Kargul & Willem Jan Glerum
Date/Time: TBD
Language: English
Abstract: In this hands-on workshop, participants will learn how to create and secure AI agents leveraging Quarkus LangChain4j. As AI agents are used more and more within enterprise applications, securing them has become a critical concern. You for example don't want your agent to drop your database, execute privileged actions or leak your sensitive customer data by accident.
Workshop participants will:
Each participant should bring their own laptop with JDK 21, Maven, Ollama and Podman Desktop installed. The workshop will include step-by-step instructions, code examples, and exercises to reinforce learning.
This workshop is suitable for developers new to AI and more experienced engineers who want to learn how to include and secure AI agents in their projects. Some basic knowledge of Java and Quarkus is helpful but not required.
Session: Self-Healing Rollouts: Automating Production Fixes with Agentic AI
Speaker(s): Kevin Dubois & Carlos Sanchez
Date/Time: TBD
Abstract: Your software rollouts to production are probably always flawless, right? For the rest of us, even with robust CI/CD once in a while we do run into issues when releasing code to production. Now even more so with more and more code written by AI assistants.
In Kubernetes, the Argo Rollouts project excels at Progressive Delivery and automated rollbacks to mitigate deployment issues, but what if we could go a step further, and perhaps add a touch of Agentic Java to the mix?
This session explores how to elevate your release process by integrating Agentic AI (written in Java) and asynchronous coding agents, with Argo Rollouts canary deployments. We'll demonstrate how a intelligent, Java based agents can automatically analyze a rollout failure, pinpointing the root cause. Beyond diagnosis, these agents can take proactive steps on your behalf, suggesting and even implementing code fixes as new pull requests, which can be redeployed automatically after PR review. This approach moves us closer to truly self-healing deployments.
Join us to learn how to combine the power of Kubernetes and Argo Rollouts with the autonomous capabilities of LangChain4j agentic, achieving a release experience that is not only seamless but also resilient.
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