#springai — Public Fediverse posts

Stop training their models with your data. Use #SpringAI and #Ollama

Adding an LLM is easy. Building a reliable AI system isn't. Damiana Nascimento shows how Spring AI and Java 26 simplify orchestration, concurrency and observability for production AI.

Discover how to build AI into your architecture: https://javapro.io/2026/08/13/building-ai-driven-java-systems-with-spring-ai-and-java-26/

#Java #SpringAI #LLM #VirtualThreads #StructuredConcurrency

Most #AI demos show isolated prompts. This one shows product design, architecture, & integration patterns. Florian Sommer uses an AI-driven RPG to explore multi-model setups, context engineering, and deterministic workflows with #SpringAI. See the lessons: https://javapro.io/2026/04/21/building-an-ai-powered-rpg-to-learn-enterprise-ai-integration/

Prompt injection, provider outages, runaway costs or missing observability — production #AI comes with challenges prototypes never reveal.
Read Mihaela Gheorghe-Roman's guide to building safer #AI agents with #SpringAI & #MCP: https://javapro.io/2026/06/25/from-prototype-to-production-building-safe-and-reliable-ai-agents-with-spring-ai-and-mcp/

#Resilience4j @SpringCentral

Your #AI agent works in a demo. But can it handle failures, outages, prompt injections & traffic? Join Mihaela Gheorghe-Roman to learn how #SpringAI, #MCP, guardrails & observability turn prototypes into production systems: https://javapro.io/2026/06/25/from-prototype-to-production-building-safe-and-reliable-ai-agents-with-spring-ai-and-mcp/

#Resilience4j @SpringCentral

Wie baut man Systeme, in denen #LLMs nicht nur antworten, sondern Quests erzeugen, Zustände verwalten & Tools nutzen? Florian Sommer nutzt ein KI-RPG als Experimentierfeld für #SpringAI, Structured Output, Tool Calling & Context Engineering: https://javapro.io/de/runes-of-reason-ein-rpg-als-spielwiese-fuer-ki-integration/
@SpringCentral

Building AI features with Spring AI but still creating custom WebSockets, JSON protocols & frontend glue code? Read Pascal Wilbrink's article to discover how AG-UI's Java SDK standardizes agent communication, streaming & tool calls—helping you build production-ready AI interfaces faster: https://javapro.io/2026/07/16/solving-spring-ais-ui-challenge-with-ag-uis-java-sdk/

#Java #AI #SpringAI AG-UI CopilotKit

Confused by the exploding number of #AI tools in the #JVM ecosystem? Teams mix #SpringAI, #LangChain4j, MCP & #Ollama without understanding the layers underneath. Artur Skowronski explains what each part of the #Java AI stack is actually for: https://javapro.io/2026/06/03/the-gen-ai-iceberg-java-tooling-edition/

@langchain4j

Wer mit #AI entwickelt, kennt das Problem: Nicht das Modell ist die Herausforderung, sondern Kontext, Zustände und die Orchestrierung verschiedener Fähigkeiten. Florian Sommer teilt seine Learnings aus einem KI-gestützten RPG mit #SpringAI: https://javapro.io/de/runes-of-reason-ein-rpg-als-spielwiese-fuer-ki-integration/

@springcentral

Your #AI agent works in a demo. But can it handle failures, outages, prompt injections & traffic? Join Mihaela Gheorghe-Roman to learn how #SpringAI, #MCP, guardrails & observability turn prototypes into production systems: https://javapro.io/2026/06/25/from-prototype-to-production-building-safe-and-reliable-ai-agents-with-spring-ai-and-mcp/

#Resilience4j @SpringCentral

Ein #KI-Agent, der sich an Gespräche erinnert, Firmenwissen versteht & APIs nutzt? Mit #Java und #SpringAI wird das plötzlich real. Yuriy Bezsonov & @sascha242 nehmen dich mit in die Architektur produktionsreifer #AI Agents.

Dive in: https://javapro.io/de/produktionsreife-ki-agenten-mit-java-und-spring-ai-entwickeln/

#AgenticAI @awscloud