Patterns
Collaboration Patterns
Practical patterns for building collaborative systems on shared state. Each pattern addresses specific challenges in multi-user, state-driven architectures.
State Machine Design Pattern
Model state transitions explicitly as a finite state machine, making allowed state changes clear, testable, and auditable. This pattern prevents invalid transitions and provides a clear model for how collaborative state evolves over time.
View pattern →CQRS (Command Query Responsibility Segregation)
Separate read and write operations into distinct models and paths. This pattern optimizes for different performance characteristics and allows read and write sides to evolve independently in collaborative systems.
View pattern →State Reducer Pattern
A state reducer is a pure function that takes an action and current state, then returns either an error or a new state. This pattern provides a deterministic, testable way to handle state transitions in collaborative systems.
View pattern →Policy Engines
A policy engine evaluates rules to determine authorization and data visibility. It separates access control logic from business logic, making permissions explicit, testable, and maintainable.
View pattern →Explore the framework
Patterns are built on top of the State-Based Collaboration Framework. Understanding the framework components will help you apply these patterns effectively.
View the framework