REAL-World AI in Java with Quarkus

We’re back!

The Quarkus User Group Munich (QUGM) is excited to welcome you again for an evening of great discussions, hands-on insights, and networking around Quarkus and modern Java development.

This time, we focus on one of the most talked-about topics in our industry: AI and Large Language Models (LLMs) — but with a clear focus on what actually works in real-world applications.

Instead of hype and bold promises, this meetup is all about:

• Practical tools and workflows
• Real-world integration of LLMs in Java
• Proven patterns and common pitfalls
• Security and production considerations

Join us to reconnect with the community, exchange ideas, and get inspired by real-world use cases.

Food and drinks will be provided!

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## Talk 1: Beyond the Hype – AI Tools That Actually Improve Quarkus Development - Sebastian Daschner (Fairsource)

The conversation around AI coding tools is evolving rapidly — but what truly delivers value?
In this session, we explore:

• Which AI tools actually improve your daily development workflow
• How Quarkus and AI can work together effectively
• Real benefits in productivity and code quality
• Key considerations around security and data privacy

Expect a live coding and demo-driven session with practical takeaways.

About the Speaker: Sebastian Daschner is a highly active contributor to the open-source community, helping shape the future of enterprise Java.
With over 20 years of experience, he specializes in software development, cloud and container technologies, DevOps, automation, testing, and developer productivity, and has made significant contributions to Quarkus.
He is also the Co-Founder and CTO of Fairsource, driving a fair and transparent approach to software consulting.
Sebastian is recognized as a Java Champion, Oracle Developer Champion, and JavaOne Rockstar for his impactful contributions to the Java ecosystem.

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## 🤖 Talk 2: LLMs in Java – The Questions You Only Ask When It Gets Serious - Markus Eisele (IBM)

How do you properly integrate LLMs into your application?
Where does AI belong — and where definitely not?
In this session, we cover:

• Clean integration of LLMs into Java applications
• Practical patterns and anti-patterns
• Real-world architecture decisions
• Working examples using Quarkus and LangChain4j

This talk focuses on real engineering challenges and solutions, not theory.

About the Speaker: Markus has been working with enterprise Java teams for over 20 years, building large-scale, long-lived systems — from traditional monoliths to modern, cloud-native architectures with Quarkus.
Today, he focuses on how AI can be integrated into Java applications in a meaningful, responsible, and production-ready way.

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## Agenda

• 6:00 PM – Networking
• 6:30 PM – First Presentation
• 7:15 PM – Break
• 7:30 PM – Second Presentation
• 8:15 PM – Networking
• 8:45 PM – End

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## Who should attend?

• Java developers
• Quarkus users
• Software engineers interested in AI/LLMs
• Anyone who wants to go beyond the hype and understand real-world applications