Catching Silent Failures in Solo AI Development: 14 Essential Rules

When developers work alone with AI assistants in production environments, both the human and AI develop blind spots—the AI is trained to please its users while the solo coder lacks peer review friction. This allows undetected data divergences and logical errors to persist for months. The article presents 14 practical rules and tooling to surface these blind spots before they become costly production incidents.