Automating Domain-Driven Design: Experience with a Prompting Framework
📰 ArXiv cs.AI
Automating domain-driven design using a prompting framework with large language models
Action Steps
- Decompose domain-driven design into sequential steps
- Establish an ubiquitous language using LLM interactions
- Simulate event storming to identify key domain events
- Identify bounded contexts and design aggregates
- Map domain design to technical architecture
Who Needs to Know This
Software engineers and architects can benefit from this approach to streamline their design process, while product managers can use it to improve the overall quality of the software system
Key Insight
💡 Large language models can be used to automate core domain-driven design activities
Share This
💡 Automate domain-driven design with LLMs!
Key Takeaways
Automating domain-driven design using a prompting framework with large language models
Full Article
Title: Automating Domain-Driven Design: Experience with a Prompting Framework
Abstract:
arXiv:2603.26244v1 Announce Type: cross Abstract: Domain-driven design (DDD) is a powerful design technique for architecting complex software systems. This paper introduces a prompting framework that automates core DDD activities through structured large language model (LLM) interactions. We decompose DDD into five sequential steps: (1) establishing an ubiquitous language, (2) simulating event storming, (3) identifying bounded contexts, (4) designing aggregates, and (5) mapping to technical arch
Abstract:
arXiv:2603.26244v1 Announce Type: cross Abstract: Domain-driven design (DDD) is a powerful design technique for architecting complex software systems. This paper introduces a prompting framework that automates core DDD activities through structured large language model (LLM) interactions. We decompose DDD into five sequential steps: (1) establishing an ubiquitous language, (2) simulating event storming, (3) identifying bounded contexts, (4) designing aggregates, and (5) mapping to technical arch
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