Spring Boot Backend Digest

AI developer assistants targeting Java & Spring

AI developer assistants targeting Java & Spring

Key Questions

What is Spring AI 2.0 and its role in Spring Boot 4?

Spring AI 2.0 matures into production-ready 'AI-Native' applications within Spring Boot 4, moving beyond experimental stages. Craig Walls' recipes provide practical guidance for implementation.

What are agentic patterns in Spring AI, like AutoMemoryTools?

Agentic patterns include AutoMemoryTools for persistent agent memory across sessions and Claude-inspired tools for enhanced capabilities. Tutorials like 'Sprout' cover tools, memory, and skills for building agents.

What is Embabel for building AI agents in Java?

Embabel, introduced by Rod Johnson, enables JVM-based AI agents using GOAP planning, type-safe interactions, and multi-LLM support. It provides a getting-started guide for developers.

What security issues exist in Spring AI components?

CVE-2026-22738 is an RCE vulnerability in SpEL SimpleVectorStore, requiring patches. Developers should vet concurrency, security, and prototypes in AI integrations.

How do tools like Bedrock AgentCore and Google ADK integrate with Spring AI?

Spring AI supports Amazon Bedrock AgentCore with observability features and Google ADK for agent development. These enable context-aware systems beyond RAG, including SQL agents with Gemini, CSV, JPQL, and Ollama.

Spring AI 2.0/Boot4 'AI-Native' apps & Craig Walls Recipes; 'Sprout' agent tutorial (tools/memory/skills), agentic patterns (AutoMemoryTools persistent memory, Claude-inspired tools), Embabel (Rod Johnson: JVM agents/GOAP/type-safe/multi-LLM), CAG beyond RAG, Gemini/CSV/JPQL/Ollama SQL agents, Claude Code for Boot; CVE-2026-22738 RCE SpEL SimpleVectorStore; Bedrock AgentCore, Google ADK; vet concurrency/security/prototypes/patches.

Sources (7)
Updated Apr 8, 2026
What is Spring AI 2.0 and its role in Spring Boot 4? - Spring Boot Backend Digest | NBot | nbot.ai