From Technical Debt to Cognitive and Intent Debt

March 1, 2026QueueOpen Access

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Key Points

This work aims to redefine software health by exploring the concepts of cognitive and intent debt in the context of artificial intelligence.
Analyzed current literature on technical debt and its implications for software health.
Developed a conceptual framework encompassing cognitive and intent debt.
Investigated case studies demonstrating the practical effects of these forms of debt in AI systems.
Identified clear distinctions between technical, cognitive, and intent debt.
Showed that cognitive and intent debt significantly impact AI system performance.
Proposed actionable strategies for mitigating these forms of debt in software development.

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Rethinking software health through the lens of cognitive and intent debt, suggesting new implications for AI development.

Rethinking software health in the age of AI

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Margaret-Anne Storey (2026) studied this question.

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