From Prototype to Production: Building Safe and Reliable AI Agents with Spring AI and MCP

Thu, 25 Jun 2026 07:00:01 +0000

The AI agent demo works perfectly in the development environment. Your prototype handles natural language queries, executes tool calls, and generates sensible responses. But when stakeholders ask ‘Can we deploy this?’, reality sets in. That question exposes the massive gap between a functional prototype and a Spring AI production system ready for real traffic, unexpected failures, and business-critical operations.

That question reveals the massive gap between a working prototype and a production system. The demo doesn’t handle failures gracefully. It has no guardrails against harmful outputs. There’s no visibility into what the agent is actually doing. Cost per request? Unknown. Error rates? No idea. Recovery strategy when the LLM provider goes down? Haven’t thought about it.

Resilience4j on JAVAPRO International

From Prototype to Production: Building Safe and Reliable AI Agents with Spring AI and MCP