This article explores systematic approaches to debugging domain models in software design. It outlines ten critical steps for refining architectural decisions when a design feels off without obvious errors. The process begins by identifying symptoms like scattered responsibilities, duplicated logic, or unclear boundaries. Key areas of focus include ensuring business rules (invariants) are concentrated near entities, avoiding anemic domain models by assigning behavior to entities rather than services, defining clear aggregate boundaries for consistency, and eliminating hidden coupling between modules. The author emphasizes validating state transitions to prevent invalid states and aligning design with actual business flows to avoid drift. By prioritizing ownership of rules over arbitrary code organization, developers can create more robust systems that naturally prevent confusion, duplication, and invalid states. The article stresses that effective domain modeling requires iterative refinement rather than perfect initial designs.

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