The 17 Ways AI Agents Break in Production - DEV Community

This page discusses 17 distinct failure modes of AI agents in production environments. Unlike traditional software, AI agents fail through drifting, looping, hallucinations, and silently producing incorrect results while monitoring systems appear normal. After analyzing 7,212 agent traces from 13 external sources, researchers catalogued consistent failure patterns across LangGraph, CrewAI, AutoGen, n8n, and Dify deployments. Each failure mode includes a definition, production example, severity level, and detection method. The first example, Infinite Loops, describes agents stuck repeating the same actions without progress, causing significant API costs ($800+) while appearing successful individually.