CCD Framework Proposes Measured Approach to AI-Driven Cognitive Debt in Software

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A concept called Cost of Cognitive Debt (CCD) has been proposed as a middle-ground framework for evaluating where AI agentic workflows can safely be used in software systems. Unlike technical debt, which involves known problems, cognitive debt refers to parts of a system that no human fully understands, making it impossible to even identify whether a problem exists. The framework assigns CCD scores to system components, recommending that critical business logic and core infrastructure remain under human oversight due to their high risk. Less critical, contained parts of a system may tolerate some cognitive debt if the potential gains outweigh the risks of reduced human understanding. The framework also emphasizes that any accepted cognitive debt should come with a plan for eventual repayment, similar to how financial debt is managed responsibly.

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