AI · 2h ago
7 Failure Modes for AI Agents in Production and How to Catch Them
AI agents in production commonly fail in seven patterns: infinite loops, silent context death, cost spikes, secret leaks, and more. Each failure can be detected by tracking information gain, context pressure, cost moving averages, and output scanning. The article provides concrete detection methods and fixes for each mode.
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The piece offers practical, engineering-focused advice, but the proposed fixes—like context compression and model escalation—are easier said than done at scale.
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The 7 Ways AI Agents Fail in Production — And How to Catch Them →
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