MCP tools are great at giving AI agents answers, but those answers don’t have to be plain text. With MCP Apps, your Spring AI MCP server can deliver rich, interactive user interfaces right alongside its tool results.
@habuma.com
@habuma.comMCP tools are great at giving AI agents answers, but those answers don’t have to be plain text. With MCP Apps, your Spring AI MCP server can deliver rich, interactive user interfaces right alongside its tool results.
@mydeveloperplanet.com@habuma.comGive your Spring AI application a ChatGPT-like web interface with surprisingly little code! AG-UI and CopilotKit make it easy to connect Spring AI to a polished React chat UI.
@tzolov.bsky.socialSlides & 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...
@jaxkonferenz.bsky.social📚 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
@habuma.comLLM-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.
@jfokus.seSPEAKER 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”
@ivicac.bsky.socialYour 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.
@starbuxman.joshlong.com🚀 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
@ivicac.bsky.socialYour 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.
@habuma.comRun 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.
@entwicklerde.bsky.social🤖 Spring AI 2.0
Thorben Janssen zeigt, wie ChatClient, Prompting, Chat Memory & Structured Output die Entwicklung produktiver LLM-Anwendungen mit Spring vereinfachen.
@piotrooo.bsky.social🤖 What if your if statement could understand context?
🔎 Spring AI collects evidence.
🧠 Jev evaluates it.
☕ Java decides.
@tzolov.bsky.socialSpring 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...
@dashaun.com@dashaun.com@dashaun.com@habuma.comWhat 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.
@ali-hassaan.bsky.social
@habuma.comWhy 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.
