Tell it what to do.

Commit, push to origin, review on GitHub.

Tell it to make changes, amend the commit, push --force-with-lease.

I'm attempting to make a memory safe language like Rust but with a substantially lower learning curve and added safety (but non-zero cost abstractions) fully with AI, almost entirely from my phone, commuting, getting coffee, walking the dog, between sets at the gym, replacing doom scrolling before bed and during lunch, etc.

Mostly to test how much LLMs can actually scale development.

Depending on how long it takes them to clean up some architectural slop in the MIR lowering phase, the results could either be very impressive or not.

From a purely cost basis perspective, it's hard to argue they aren't killing it.

But from a multiplier perspective, it's up in the air how great they are.

It's proven to be a really nice experiment, because much of what I wanted to solve with a language is the problems inherent to LLM development.

So at the self hosting phase, I get a great opportunity to see if the language can actually deliver on what I dream for.