How a new DSL may survive in the era of LLMs

To survive in the LLM era, new domain-specific languages (DSLs) must provide robust tooling, comprehensive documentation, and LLM-friendly features like auto-generated agent templates that help AI models understand the language's purpose and syntax. Traditional languages benefit from decades of accumulated code, type checkers, and development tools that provide immediate feedback to LLMs and catch errors early, creating a self-reinforcing cycle that new languages must replicate through language servers, interactive browser-based editors, and strong diagnostics. The author argues that combining these elements—along with clear marketing and quick onboarding—will enable new DSLs to thrive as AI-assisted development becomes more prevalent.