Dive into the art of architecting AI agents on the JVM in this dynamic session.
We'll explore a layered architectural approach to building scalable, interactive AI systems
and intelligent backend services—focusing on modular design principles that leverage the JVM platform's strengths.
From input processing and context management to agent orchestration and tool integration, we'll break down each layer with clear, practical insights.

Through live coding examples, you'll see how to structure robust AI agent systems, integrating models, embeddings and external tools while maintaining performance and extensibility. Attendees will learn to design systems that are easy to evolve, debug, and deploy in production environments.

At the end of the session attendees will gain:
- A blueprint for architecting AI agents with distinct layers (e.g., input, reasoning, execution, and persistence)
- Hands-on code samples demonstrating real-world implementations
- Best practices for standards based, secure, extensible integrations on the JVM

No prior AI experience is needed.