The problem isn't AI-generated code—it's that nobody knows the system anymore

Simon Späti flags a viral tweet from an engineer at a large company: after two weeks on the job, they found the entire team—L1 to L7—using Claude Code to generate specs, code, tests, and tickets, with management pushing only for shipping speed. Späti argues the real danger isn't AI code quality; it's that teams lose all knowledge of system architecture and design intent. He notes data engineering may be an exception because pre-AI data people had to understand the full business, but newcomers who start by prompting skip that foundation. His closing point: maintenance is the final boss, and the faster you generate, the heavier the maintenance debt—especially when nobody knows how anything works.