No matter how interesting your problem is, translating it into code is going to involve a lot of grunt work. This isn’t just boilerplate, but also the large portion of your code which is going to be gluing things together.

The time you spend working through those menial parts of your code is time when the context of the interesting part of the problem fades. Once you get the mechanical stuff out of the way, you have to load the interesting stuff back into your brain.

This is where AI coding tools really shine. They dramatically reduce the intervals between when you can think about the actual problem you’re solving by letting you get the boring mechanics out of the way more quickly.