I would argue it's more important than ever to make new languages with new ideas as we move towards new programming paradigms. I think the existence of modern LLMs encourages designing a language with all of the following attributes:

- Simple semantics (e.g. easy to understand for developers + LLMs, code is "obviously" correct)

- Very strongly typed, so you can model even very complex domains in a way the compiler can verify

- Really good error messages, to make agent loops more productive

- [Maybe] Easily integrates with existing languages, or at least makes it easy to port from existing languages

We may get to a point where humans don't need to look at the code at all, but we aren't there yet, so making the code easy to vet is important. Plus, there's also a few bajillion lines of legacy code that we need to deal with, wouldn't it be cool if you could port (or at least extend it) it into some standardized, performant, LLM-friendly language for future development?

> It’d be like inventing a new assembly language when everyone is writing code in higher level languages that compile to assembly.

Isn't that what WASM is? Or more or less what is going on when people devise a new intermediate representation for a new virtual machine? Creating new assembly languages is a useful thing that people continue to do!

We may end up using AI to create simplified bespoke subset languages that fit our preferences. Like a DSL of sorts but with better performance characteristics than a traditional DSL and a small enough surface area.

I believe prompting an AI is more like delegation than abstraction especially considering the non-deterministic nature of the results.