When you work in a company, the company moves not with the speed of every individual. The company moves with the speed of the outcome that those individuals produce together. If I boost my individual productivity but I still wait two weeks between my milestone and the next person's milestone, it doesn't matter if I accomplish the task in one hour instead of one week.
The blank canvas wasn't a hurdle; it was an invitation. An invitation to think, to wrestle, to connect disparate dots until a clear, compelling strategy emerged. Today, that invitation often comes in the form of a blinking cursor in a prompt box. The promise is seductive: speed, efficiency, and democratized creativity.
The web is full of AI assistants that appear to understand application UIs, user data, and intent. In practice, however, most of these systems operate outside the application itself. When you try to build one from scratch, you quickly run into a core limitation: large language models have no native understanding of your React state, component hierarchy, or business logic.
Software development used to be simpler, with fewer choices about which platforms and languages to learn. You were either a Java, .NET, or LAMP developer. You focused on AWS, Azure, or Google Cloud. Full-stack developers learned the intricacies of selected JavaScript frameworks, relational databases, and CI/CD tools. In the best of times, developers advanced their technology skills with their employer's funding and time to experiment. They attended conferences, took courses, and learned the low-code development platforms their employers invested in.