How to Debug AI Agents
Explains why debugging AI agents differs from traditional software: when a 200-step agent run goes wrong, there's no stack trace — the failure is in the agent's reasoning. Argues traces showing what an agent actually did become the source of truth, and that observability powers agent evaluation and iterative improvement.
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