Explores intent debt as a hidden cost in software engineering, distinct from technical and cognitive debt, and why AI agents can't resolve it.
Analysis of cognitive debt in AI-driven development, comparing manual and infrastructural solutions proposed by researchers and platforms.
Explores how AI-generated code creates invisible cognitive debt, making code harder to understand and maintain, as flagged by Thoughtworks Technology Radar.
Explores cognitive, technical, and intent debt in software systems, plus LLMs as System 3 thinking.
Explores using interactive explanations and animated visualizations to understand AI-generated code and reduce cognitive debt in software development.
Explores how AI-generated code creates 'cognitive debt'—a loss of system understanding—which can paralyze developers more than technical debt.
Martin Fowler reflects on the future of software development with AI, discussing cognitive debt, the role of LLMs, and how they might change programming.
