When AI Won't Accept What Humans Learned to Tolerate

AI tools expose a critical limitation: they lack the implicit knowledge that humans accumulate through experience and conversations, forcing teams to confront technical debt they've long navigated around. By demanding explicit clarity in code, architecture, and documentation, AI inadvertently raises software quality standards across the board. The deeper insight is that AI isn't revealing new problems—it's making visible the technical shortcuts and knowledge silos that humans have tolerated for years.