Why Domain-Specific Languages Still Matter in the Age of LLMs
By
williamcotton
Slow-proofed and worth the wait. Worth its weight in flour.
Summary
The article discusses how a new Domain-Specific Language (DSL) can survive and remain relevant in the era of Large Language Models (LLMs). It explores the tension between traditional programming languages and the rise of AI-generated code, arguing that DSLs offer unique advantages in terms of precision, domain-specific optimization, and reduced ambiguity that LLMs alone cannot fully replicate. The piece examines the evolving landscape where LLMs have improved dramatically with fewer hallucinations, yet DSLs still provide value through specialized tooling and grounded software development practices.
Key quotes
· 3 pulledAll of this code has made for great fodder for LLMs.
As these models have progressed the instances of hallucinations have decreased dramatically.
All of these tools ground software in
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