Stop generating, start thinking

LLM-generated code is fundamentally different from traditional automation because it's non-deterministic and cannot reason about system architecture or context. While tools like Copilot can serve as autocomplete, outsourcing actual thinking to AI removes accountability and shared understanding from software development. The practice mirrors fast fashion: quick but low-quality output trained on existing poor code. Unlike higher-level programming languages that abstract complexity predictably, LLMs eliminate the critical thinking that ensures maintainable, accessible, and safe software. The author advocates keeping humans in the loop for reasoning while using AI only for tasks you already understand.