2 months ago
- Domain-Specific Languages (DSLs) enhance LLM reliability by providing clear boundaries and constraints, reducing variability in code generation.
- DSLs act as a source of truth for software systems, enabling LLMs to serve as natural language interfaces and iterative partners in design.
- Abstractions and semantic models, like Tickloom for distributed systems, ground LLM prompts in existing vocabulary, improving accuracy and reducing hallucinations.
- LLMs operate in two phases: as brainstorming partners during DSL design and as reliable generators once the DSL is established.
- DSLs support deterministic validation (e.g., parsers or compilers), allowing autonomous agents to self-correct errors without human intervention.
- Examples include using LLMs with PlantUML for presentations and internal DSLs for testing distributed system scenarios, showcasing their versatility.
- Well-factored DSLs produce maintainable, readable artifacts that capture intent, reducing reliance on prompts as the primary source of truth.