Microservices

Discover why the current 'siloed' approach to AI agent development fails to scale and how a platform-centric architecture using unified APIs like n1n.ai can revolutionize enterprise AI engineering.

Learn how to use Model Context Protocol (MCP) in Spring AI to build standalone tool servers, enabling dynamic tool discovery and reducing deployment coupling in LLM applications.

Move from reactive container restarts to autonomous code-level remediation using LLM-powered agents for microservices reliability.