Practical use of LLMs

Basically, you want the LLM to "red team" you and continuously *review* the code you're writing rather than writing code itself. I suspect we'll need some better way to interact than just prompt/response as (in order to reduce token count explosions), you want to feed diffs at intervals. If an LLM understood time (highly unlikely), it might even be able to "see" where you're going and possibly help create test cases or the like. If *that* could be fed into an "LSP" that annotates my source as I'm working, that is *much* closer to having `clang-tidy` or `clippy` point out issues as I'm developing (which I already have).