ℏεsam

AI-generated code is shifting the nature of software quality problems. Instead of accumulating technical debt from rushed or poorly designed implementations, teams are now accumulating 'comprehension debt' — code that works but that developers don't fully understand. The author observes that this trade-off is being accepted without much scrutiny, raising concerns about long-term maintainability and developer understanding of their own codebases.