New DSLs Need LLM-Friendly Tooling to Compete With Established Languages

The central argument is that new languages survive by building type checkers, linters, and language servers that give LLM agents immediate feedback, not just documentation. Without this tooling infrastructure, LLMs default to established languages with richer training data, creating a compounding feedback loop against newcomers.