AI Solutions with Spring AI 2.0 and Java
summary
Spring AI 2.0 (June 2026) runs on Spring Boot 4 and lets Java apps swap underlying models without code changes, supports structured outputs that map directly to POJOs, and aligns with LangChain4j feature parity. The stack uses MCP servers for context and skills for reusable actions (example: a Beehiiv newsletter pipeline that formats Markdown and publishes via API). Roadmap notes Jackson 3 package changes; a help‑desk triage prototype with a Deep Net model and MCP server integration proves the approach works.
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chapters (7)
- 0:00Intro
- 1:01New Spring AI / LangChain4j Features
- 4:02Deterministic Agents
- 7:33Spring AI Roadmap
- 8:49MCP Servers and Skills
- 12:18Prompt Engineering
- 14:55Java Ecosystem Richness
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