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Co-authored-by: Georgios Andrianakis <[email protected]>

Author: mariofusco

_posts/2025-11-12-agentic-ai-patterns.adoc

@@ -10,7 +10,7 @@ author: mariofusco
 
 In the first months of 2025 I published a three-part blog post series on agentic AI with Quarkus and its LangChain4j extension where I first https://quarkus.io/blog/agentic-ai-with-quarkus/[introduced agentic AI and workflow patterns], then explored https://quarkus.io/blog/agentic-ai-with-quarkus-p2/[purely AI orchestrated agentic patterns], and finally examined the https://quarkus.io/blog/agentic-ai-with-quarkus-p3/[differences between these two approaches] with a practical example, trying to put in evidence their pros and cons.
 
-Only a handful of months are passed since those articles, but in the meantime the AI ecosystem, and the possibilities it enables, evolved at an incredible speed, and I'm trying hard to keep up with all the novelties and changes. In fact the initial experiments that I discussed in that series seem now to come from a different geological era, even though they served me as an important starting point to explore the agentic AI landscape.
+Only a handful of months have passed since those articles, but in the meantime the AI ecosystem, and the possibilities it enables, have evolved at an incredible speed, and I'm trying hard to keep up with all the novelties and changes. In fact the initial experiments that I discussed in that series seem now to come from a different geological era, even though they served me as an important starting point to explore the agentic AI landscape.
 
 These experiments and explorations lead me to the implementation of a https://docs.langchain4j.dev/tutorials/agents/[new agentic module] in LangChain4j intended to provide a comprehensive framework for building agentic AI systems. This module also includes a set of predefined agentic patterns that can be used as building blocks to coordinate agents in different ways. I thought that this set of patterns could be quite exhaustive and cover all the possible use cases, but as I continued my experiments, and most importantly discussed them with the community of LangChain4j users, I realized that I was naive and the reality is more complex and nuanced.