data-oriented-clojure

Schema-first data models in Clojure are designed by replacing mutable state and bare map keys with namespaced keywords and runtime Malli instrumentation. This establishes a data-oriented architecture that ensures consistency and referential transparency.

EAV-based querying models data as Entity-Attribute-Value tuples rather than object hierarchies. It enables flexible, immutable Datalog queries within the Seon runtime, eliminating imperative side-effects and ensuring system-wide consistency.

Eliminate imperative side-effects by replacing class-based hierarchies and mutable loops with pure, data-driven functions. Use error-as-value patterns for agent-facing verbs to maintain referential transparency and prevent race conditions.

Yes, Malli provides runtime schema instrumentation for Clojure systems. Applying it to all public functions enforces schema-first data models and catches structural validation errors during execution within the Seon runtime.

The best way to manage state in immutable Clojure systems is through EAV-based modeling and pure, data-driven functions. This approach eliminates mutable state accumulation and ensures system-wide testability.

You should avoid object-oriented patterns when developing within a data-oriented, immutable Clojure environment. Replace class-based hierarchies and mutable state with namespaced keywords and EAV modeling to prevent race conditions.