Source: Leadership Garden
The quality-of-engineering debate misses the actual mechanism: AI is a force multiplier that scales whatever practices and standards already exist in an organization. A team with rigorous code review, strong architectural principles, and high hiring bars will use AI to move faster on those foundations; a team with weak fundamentals will simply ship more broken code, more quickly. The leverage point isn't the tool—it's the organizational muscle that existed before it arrived, which means engineering leaders optimizing for AI productivity without first establishing baselines of craft are essentially amplifying technical debt.