Skeleton Architecture tames AI tech debt. By separating human-owned base classes from AI logic, it enforces security and structure, enabling high velocity without architectural drift.

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The Skeleton Architecture pattern addresses AI-generated technical debt by separating human-governed infrastructure (Skeleton) from AI-generated business logic (Tissue). Using Vertical Slice Architecture combined with Dependency Inversion, developers create rigid base classes that enforce security, performance, and workflow controls while constraining AI code assistants to safe boundaries. The approach includes hard guardrails like schema validation, fail-fast mechanisms, and physical separation of concerns. This shifts developer focus from syntax to systems thinking, treating AI as a high-speed code generator that requires architectural containment rather than a junior developer to be trained.

Working with Code Assistants: The Skeleton Architecture

Learning: From Syntax to Systemic Thinking