Great piece actually, I find this really resonates with the way I use LLMs. It works the same way for coding, where often you will not necessarily use the exact

Great piece actually, I find this really resonates with the way I use LLMs. It works the same way for coding, where often you will not necessarily use the exact output of the model. For me it's useful for things like: * Getting a rough structure in place to refine on. * Coming up with different ways to do the same thing. * Exploring an idea that I don't want to fully commit to yet Coding of course has the advantage where nobody is reading what you wrote for it's artistic substance, a lot of times the boilerplate is the point. But even for challenging tasks where it's not quite there yet, it's a great collaboration tool.