dailyai.report

Developers increasingly rely on LLMs to generate boilerplate and complex logic. This shift reduces the need for deep architectural planning and manual debugging. While productivity spikes, practitioners risk losing the mental models required to fix systemic failures. The result is a growing gap between rapid feature delivery and true technical mastery.