I've gotten some pretty cool things working with LLMs doing most of the heavy lifting using the following approaches:

* spec out project goals and relevant context in a README and spec out all components; have the AI build out each component and compose them. I understand the high-level but don't necessarily know all of the low-level details. This is particularly helpful when I'm not deeply familiar with some of the underlying technologies/libraries. * having an AI write tests for code that I've verified is working. As we all know, testing is tedious - so of course I want to automate it. And we written tests (for well written code) can be pretty easy to review.