Accelerating Domain-Driven Design with AI
summary
Claims that AI converts business process descriptions into runnable domain models and ready microservice code, cutting onboarding from weeks to minutes using concrete tools and formats. Demo uses Gemini 2.5 flash to generate event timelines, actors and command/query contracts, applies event storming and simple data models to capture aggregates, then emits OpenAPI/Swagger specs and code via MCP/cloud code workflows. Shows parallel code generation, versioned updates, and examples of recruitment flow tests and success criteria.
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chapters (16)
- 0:00Accelerating DDD with AI
- 3:25What is DDD and its value
- 6:59Complex systems challenges
- 11:17Strategies to tackle complexity
- 13:47DDD building blocks
- 15:53Building models like pyramids
- 16:14Event storming to align teams
- 19:56AI for fast event storming
- 24:17Smallest workflow steps
- 26:49AI-assisted domain models
- 28:51Domain models to API specs
- 30:59Generating apps from contracts
- 32:05Custom prompts for codegen
- 34:17Why code generation succeeds with domain models
- 37:14Iterating with stakeholders
- 38:19Q&A
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