How a new DSL may survive in the era of LLMs
This article explores the challenges new domain-specific languages (DSLs) face in an ecosystem dominated by LLMs trained on legacy code. It suggests that modern languages must prioritize robust tooling, documentation, and LLM-friendly integration to remain viable.
Why it matters
As AI-assisted coding becomes standard, the survival of new programming languages depends on their ability to integrate seamlessly with AI agents and existing developer workflows.
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.
The content is a technical analysis of software development trends without ideological bias.
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