AI developer assistants targeting Java & Spring
Key Questions
What is Spring AI 2.0 and its integration with Spring Boot 4?
Spring AI 2.0, codenamed 'Sprout', integrates with Boot 4 for recipes and Udemy courses. It supports scalable LLM Gateways and production-ready AI microservices.
How to build a scalable MCP enterprise server with Spring AI?
Use Spring Boot 3.4/Java21 virtual threads, SSE, RBAC, and dynamic tools for a scalable MCP server. Articles detail enterprise implementations with Spring Boot AI.
What are Cursor rules for Java and Spring production patterns?
Cursor rules cover 8 production-tested patterns for Java, including Spring Boot, Maven, error handling, async patterns, and testing for reliable code shipping.
What features does LangChain4j 1.13 offer for Spring AI?
LangChain4j 1.13 supports HQL, agents, and production microservices with Spring AI, bridging Spring Boot's reliability with LLMs like Ollama, Claude, and Gemini.
What tools aid AI-assisted Java development like TDD and security?
Embabel by Rod Johnson, AutoMemoryTools/Oracle/Claude repos focus on TDD, security, JUnit, and Testcontainers. They include LLM roles, prompts, and benchmarks.
Spring AI 2.0/Boot4 'Sprout'/Recipes/Udemy; scalable LLM Gateway (prod Boot/Spring AI); MCP enterprise server (Boot3.4/Java21 vthreads/SSE/RBAC/dynamic tools); Embabel (Rod Johnson); AutoMemoryTools/Oracle/Claude repo (TDD/security/JUnit/Testcontainers); Cursor rules (Java/Spring prod patterns); LangChain4j 1.13 (HQL/agent/prod microservices); Ollama/Claude TDD/Gemini/LLM roles; O'Reilly debt/CVE-2026-22738; Bedrock/ADK/Rappit prototypes/prompts/benchmarks.