Why Developers Can't Outsource the Hard Thinking to AI

New developers relying on AI without mastering fundamentals risk career-long blind spots and dangerous production failures. Understanding code deeply—through debugging, testing, and architecture—isn't optional when AI confidently produces code that merely 'works' but may be unmaintainable, insecure, or catastrophic in failure. Real-world disasters like Ariane 5's explosion and Knight Capital's $440M loss demonstrate that code reviewed only for functionality, not quality, creates systemic risks.