Spring AI M7 introduces significant updates, including refactored auto-configuration for improved dependency management. The auto-configuration is now separated into individual artifacts to avoid version conflicts, affecting model, vector store, and other components. Starter names have also been updated to reflect the new structure. The author highlights a blog post on Prompt Engineering patterns and a quick digest video. A recent podcast episode features a discussion with WireMock developers. There is also a blog on Docker Model Runner support. The author mentions the release of Spring Cloud 2025.0.0-M3 and upcoming Spring I/O 2025 event. The author's recorded talk from YOW! conference is now available. The author presents resources on MCP, including a new MCP service for JVM diagnostics and a YouTube short on A2A. There's also a look at building WebAssembly applications with Java. Several new resources include videos and blogs on MCP and Spring AI integration with DeepSeek.