Almost no skill required to cook a steak

Building quality software with AI requires deep understanding and careful craftsmanship rather than simply feeding prompts to models and hoping for results. Like cooking a perfect steak, achieving consistent, polished software demands learning the fundamentals, providing detailed specifications and feedback, and recognizing that AI is a tool with inherent limitations, not a replacement for expertise. As AI adoption becomes widespread, the quality gap widens—those who invest in mastering the craft will create genuinely excellent products, while others will settle for mediocre results that most users merely tolerate.