I recently wrote a simple interpreter for a stack based virtual machine for a Firefox extension to do some basic runtime programming b/c extensions can't generate & evaluate JavaScript at runtime. None of the consumer AIs could generate any code for the stack VM of any moderate complexity even though the language specification could fit on a single page.

We don't have real AI & no one is anywhere near anything that can consistently generate code of moderate complexity w/o bugs or accidental issues like deleting files during basic data processing (something I ran into recently while writing a local semantic search engine for some of my PDFs using open source neural networks).

I am building an assembler+compiler+VM for a python-like statically typed language with monomorphized generics and Erlang-style concurrency. Claude Sonnet/Kimi/Gemini Pro (and even ChatGPT on occasion) are able to handle the task reasonably well because I give them specs for the VM that have been written and rewritten 200+ times to remove any ambiguities and make things as clear as possible.

I go subsystem by subsystem.

Writing the interpreter for a stack vm is as simple as it gets.