Agents can silently return wrong data for a week before anyone notices
aineemaniee · reddit · 2026-09-06
A Reddit discussion highlights silent agent failures in production: since systems assume every run succeeded, no alerts or logs fire, and wrong numbers can flow for over a week undetected. The author notes teams often learn from flawless demos then get hit in production, and asks whether courses like the Udacity/Anthropic one (vs. DeepLearning.ai or Coursera) actually prepare you for these edge cases, or whether reading docs and building a custom eval harness is better.
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