AgentScript-Eval: Benchmarking LLMs and Agents for Code Generation in an Enterprise DSL

arXiv:2611.13183v1 Announce Type: cross Abstract: Domain-specific languages (DSLs) are widely used in enterprise software, giving a compact interface to complex tasks, from data access to infrastructure automation. Platforms increasingly extend them to agents, where a developer declares the topics, permitted actions, and guardrails of an agent rather than writing general-purpose code. Large language models (LLMs) write general-purpose code well, but that ability has been measured almost entirely on languages abundant in public pretraining data, and enterprise DSLs are neither abundant nor publ

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