Why I like using AI right now is that I get to try out far more of my own ideas quickly (and find issues with them!)

Before, it was like:

"Oh, X idea is really cool, let me try it!" ... (loses interest before idea validated)

Now: "Oh, X idea is really cool, let me try it!" ... with AI, I get to actually validate that it works (ideally), or reformulate the idea if it doesn't.

Even more than validating ideas, I think my personal AI use falls into two categories:

- Exploration: I am "vibe coding" to explore a domain, add many features, refactor the app over and over, as a real time exploration of the domain to see what works and what doesn't

- Specific Execution: I have a full design, a full idea, I've thought about architecture, we're making a plan and we're executing this extremely coherent vision

I've enjoyed using AI for both cases.

> Why I like using AI right now is that I get to try out far more of my own ideas quickly (and find issues with them!)

This.

Coding assistants handle a great deal of the drudge work involved in refactoring. I find myself doing far more deep refactoring work as quick proofs of concept than before. It's also quite convenient to have coding assistants handle troubleshooting steps for you.