event-modeling

Event modeling captures system behavior as a timeline of interfaces, commands, events, and read models. This approach provides a shared language to reveal dependencies and enables precise specifications for communicating workflows to teams or AI agents.

You can render SVG diagrams from JSON model definitions using the event_model.py tool. This allows you to visually validate invariants between commands, events, and read models for stakeholder review.

Yes, you can produce executable GWT-style tests from your event models. These tests serve as a living specification by enforcing concrete scenarios tied to past-tense events and imperative commands.

Event modeling enforces validation rules across commands, events, and read models. It mandates past-tense events, imperative commands, and linked read models to ensure structural consistency and reveal behavior accurately.

Modeling systems as domain events and timelines is an effective way to document existing codebases. It applies a consistent event-modeling approach to map behavior, interfaces, and automations into a unified specification.

You need a domain event timeline when designing new event-driven architectures or communicating complex workflows. It captures how a system behaves through interfaces, commands, and read models to provide clear team alignment.