Talks

Developing AI applications today goes beyond simple single-model interactions. We're seeing a shift towards agentic AI systems, where multiple specialized agents work together, each capable of independent reasoning. While there’s a myriad of ‘low-code’, ‘citizen developer’, and vendor-backed solutions, the real challenge for an AI architect lies in effectively building, orchestrating, and deploying these custom, collaborative systems to production. Despite all the promises from “AI” vendors, actual custom software development and a robust deployment strategy are essential for success.

Given the diverse and complex tasks these systems handle, a "one-size-fits-all" approach to coordination just doesn't work. We'll explore the spectrum of agentic patterns, from reliable but rigid workflows to highly flexible, autonomous agent orchestration using LLMs, and everything in between.


This talk will cover:
* The pros and cons of various agentic patterns.
* Practical demonstrations of how to combine these patterns using LangChain4j and its Quarkus extension.
* How to leverage the provided infrastructure for agent collaboration.
* The flexibility to implement and seamlessly integrate your own custom agentic patterns.