Technically, building a programming language or swapping keywords using an LLM isn't a high-bar challenge anymore. However, what I find truly fascinating is the potential to use LLMs to derive a "living language" from a specific hypothetical context—like a sci-fi world-building constraint.

The real "meat" isn't the final Lexer or Parser, but the CoT (Chain of Thought) process of reasoning how a language naturally evolves. For instance, instead of just translating English keywords, we could ask: "If a species communicates via bioluminescence in a high-latency environment, how would their 'syntax' handle error propagation or state management?"

Seeing the LLM bridge the gap between cultural/environmental constraints and logical structure is where the real fun is. It turns language design from a mechanical translation task into an exploration of how logic itself is shaped by its surroundings. I’d love to see this project evolve into a "context-driven" language generator rather than just a keyword-translation tool.