June 11th, 2026

There have been an untold amount of projects written in Python, Rust, Ruby, and other "legacy" software languages over the last few decades. All of this code has made for great fodder for LLMs. As these models have progressed the instances of hallucinations have decreased dramatically.

But it's not just the mere volume of source code to train on. It's the advanced tooling around these languages. Type checkers, linters, language servers, compilers, interpreters, testing harnesses, you name it. All of these tools ground software in reality and give an LLM agent immediate feedback.…