pelizzai-domain-modeling

To ground an AI agent in domain logic, you map your project's specific business rules, stack, and conventions into the agent's context. This ensures generated code adheres to your established architectural constraints and integrates seamlessly.

AI agents generate generic code when they lack context about your project's domain and architecture. By mapping your project's unique terminology and interface contracts into the agent's operational context, you enforce consistency.

The best way to ensure code generation follows business rules is to cross-reference existing domain models and architectural constraints before generating new features. This grounds agent decisions in your project's specific stack and conventions.

To generate a domain model profile, ask the agent to analyze your current project structure, existing documentation, and configuration files. This establishes a reliable profile that reflects your unique domain logic and architectural constraints.

Yes, you need access to project documentation and configuration files like lockfiles to establish a reliable domain profile. These inputs map your specific stack, conventions, and business rules into the agent's active context.

Yes, you can use domain modeling to enforce consistency by grounding agent decisions in your project's established patterns. When starting a new feature, the agent cross-references your existing domain models to ensure seamless integration.