tl;dr: Despite AI coding tools raising productivity and skill floors, everyday software (banking apps, car infotainment, macOS) keeps getting buggier and more fragile because complexity has grown while incentives still reward features over stability. The author argues KPI-driven vendors won't prioritize bug-fixing, so quality will keep decaying at big companies—but sees an opening for individual developers to leverage AI to build better alternatives.