Guide details critical infrastructure needed for production-ready AI agents

A DEV Community guide explains that AI agents often fail in production, not due to the model itself, but because of integration problems. These issues include credential management, API throttling, schema changes, and unreliable retry logic. The article outlines five essential layers for a robust integration infrastructure to handle authentication, safe tool execution, rate limiting, auditing, and failure management. It warns that skipping any of these components can lead to system failures under real-world conditions.