We had an enjoyable conversation with dear Kenan Sevindik about Java 25 in particular and the past, present, and future of Java in general. I'd like to thank him for the invitation. I hope it will be useful for those who watch it. Enjoy the video ☕️💬 www.youtube.com/watch?v=_Ebj...

In the example, a Host Agent classifies user input, makes a routing decision, and forwards the request to the relevant agent via A2A clients using the LLM function call.

I've created a repo that demonstrates how multiple AI agents can communicate and collaborate using Google's open-standard Agent2Agent (A2A) protocol. github.com/hakdogan/age...

the hood. www.anthropic.com/engineering/...

actually working?" With that mindset, one of the articles I’ve read is the following one by the Anthropic team. While the article offers guidance on building effective agents, it also lifts the curtain—drawn by a few dependencies and annotations—and provides a glimpse into what’s going on under

However, a developer who doesn't want to remain just a customer, consumer, or follower should never overlook the risk that such abstractions can become a thick curtain between them and what’s really happening behind the scenes. They should never lose the curiosity of asking, "How is all of this

With its built-in extensions like Ollama, LangChain, REST Client, and WebSocket working in harmony, Quarkus truly makes the development of complex AI agents incredibly simple and streamlined. When you also add its observability support into the mix, the result is genuinely impressive.

Buralar dutluk iken rumuzu rezerve edelim, ne olur ne olmaz