Reading up on cognitive-debt

Agentic coding's cognitive debt may be worse than traditional coding if working at competence edges, weak mitigation adoption, and macro-level incoherence persist.

Excessive reliance on AI coding tools creates comprehension debt—a growing gap between code volume and human understanding—that erodes system knowledge and eventually must be paid with interest.

Nate Meyvis argues that cognitive debt in AI-generated codebases is not inherently worse than in traditional codebases, and AI can help mitigate it.