The paper introduces a Triple Debt Model with cognitive debt and intent debt alongside technical debt to address risks from generative AI in software development.
Maybe We Need Some More Examples
4 Pith papers cite this work. Polarity classification is still indexing.
representative citing papers
Mixed-methods survey finds developers accept AI producing work under oversight but resist autonomy on identity-defining, human-facing, and design tasks, modulated by experience, risk tolerance, and task attributes.
Survey of 860 developers reveals 22 desired AI systems for non-coding tasks with explicit constraints on authority, provenance, and quality signals, framed as bounded delegation where AI handles assembly work but not core craft.
Survey of 415 developers finds GenAI accelerates coding output but redistributes effort into review and verification, making net productivity gains appear spurious at current adoption levels.
citing papers explorer
-
From Technical Debt to Cognitive and Intent Debt: Rethinking Software Health in the Age of AI
The paper introduces a Triple Debt Model with cognitive debt and intent debt alongside technical debt to address risks from generative AI in software development.
-
You Shall Not Pass! Where and Why Developers Draw The Line on AI Autonomy
Mixed-methods survey finds developers accept AI producing work under oversight but resist autonomy on identity-defining, human-facing, and design tasks, modulated by experience, risk tolerance, and task attributes.
-
To Copilot and Beyond: 22 AI Systems Developers Want Built
Survey of 860 developers reveals 22 desired AI systems for non-coding tasks with explicit constraints on authority, provenance, and quality signals, framed as bounded delegation where AI handles assembly work but not core craft.
-
The Fast and Spurious: Developer Productivity with GenAI
Survey of 415 developers finds GenAI accelerates coding output but redistributes effort into review and verification, making net productivity gains appear spurious at current adoption levels.