Slides & recording from my @devoxx.com deep dive: "Agent Loops, Decoded: Fundamentals to Agentic Patterns in Spring AI"
🎥 Recording: youtu.be/Q91obeWeWNQ
📊 Slides: speakerdeck.com/tzolov/agent...

Slides & recording from my @devoxx.com deep dive: "Agent Loops, Decoded: Fundamentals to Agentic Patterns in Spring AI"
🎥 Recording: youtu.be/Q91obeWeWNQ
📊 Slides: speakerdeck.com/tzolov/agent...
📚 Zeit für neuen Lesestoff!
☕ Was bringt #Java27?
🤝 Was steckt hinter W-JAX Together?
🤖 Wie funktioniert #SpringAI 2.0?
Entdecke unsere 3 Leseempfehlungen im JAX-Blog! 👇
🔗 https://jax.de/blog/?utm_source=bluesky&utm_medium=social&utm_campaign=content
LLM-as-a-Judge is a powerful evaluation technique, but what if you don’t need another LLM to make the call? With a System One model, you can fact-check AI responses using focused, typed judgments with less latency and lower cost.
SPEAKER DETECTED: Dan Vega @danvega.dev
Bring your laptop and build with Spring AI - from model abstraction and structured output to context engineering and tool calling.
Hands-on lab: “Spring AI in Practice”
Your users don't want a workflow canvas. They want "if the subject says invoice, post to #finance."
Part 7 of @bytechef.bsky.social Embedded: build workflows in your own UI. One POST to create, one PUT per node to bind connections. ByteChef runs the rest.
🚀 Hi, Spring fans! I’m writing from legendary Devoxx Belgium in Antwerp. Plus: Spring AI modular RAG, TypeSafe Jev, OneLens, podcasts, best practices, and more! Let’s go! #SpringBoot #SpringAI #DevoxxBelgium
https://spring.io/blog/2026/10/06/this-week-in-spring-october-6th-2026
Your AI agent tries to search Gmail. The user never connected it.
Instead of an error, the MCP server returns a connection link. The user connects, and the agent retries.
@bytechef.bsky.social Embedded part 6: MCP Chat.
Run System One models locally with Spring AI! In this recipe, see how Nimble and Laya deliver fast, focused AI judgments without a general-purpose LLM.
🤖 Spring AI 2.0
Thorben Janssen zeigt, wie ChatClient, Prompting, Chat Memory & Structured Output die Entwicklung produktiver LLM-Anwendungen mit Spring vereinfachen.
🤖 What if your if statement could understand context?
🔎 Spring AI collects evidence.
🧠 Jev evaluates it.
☕ Java decides.
Spring AI Modular RAG + TypeSafe AI Jev 🧩
LLMs rewrite and expand the query. Vector search finds 6 chunks. #Jev keeps the 2 that actually answer it.
📝 Blog: spring.io/blog/2026/10...
🎤 At @devoxx.com next week? Join my deep dive: m.devoxx.com/events/dvbe2...
What if you don’t need an LLM to generate an answer, but simply need AI to make a judgment? In my latest Spring AI Recipe, I explore Jev, System One models, and fast, structured AI judgments.
Why should a Java-based STDIO MCP server need a build step before a client can run it? With JBang, it doesn’t. You can build Spring AI MCP servers and clients that run straight from Java source.
Writing a book about Spring Boot 4 reinvigorated his love of coding. He's shipping a new Spring AI Agents MD starter to the community soon. #SpringBoot #SpringAI #Java
Contextual Retrieval RAG: cómo Anthropic arregla el chunking
¿Tus chunks de RAG pierden contexto? Contextual retrieval RAG con Spring AI y Virtual Threads baja fallas de recuperación 49% sin fundir el presupuesto
#contextualretrieval #rag #anthropicclaude #springai #virtualthreadsjava