The accumulated cost of decisions made with adequate but degraded judgment — outputs approved under residue that look right and are subtly wrong.
Quality debt is the organizational analogue of technical debt, but structurally more dangerous because it is invisible to the people who generate it. Where technical debt arises from knowing the right solution and choosing an expedient shortcut, quality debt arises from residue-impaired judgment that approves outputs appearing adequate but containing subtle flaws. The builder carrying attention residue from multiple context switches evaluates AI-generated code, text, or design with depleted cognitive resources. Her evaluation passes outputs that a fully resourced judgment might have refined, redirected, or rejected. The approved outputs propagate through dependency chains, become foundations for subsequent work, and bend the system's trajectory away from its intended course. Unlike technical debt, quality debt leaves no markers — no TODO comments, no obvious code smells — only a gradual drift between what the system should do and what it does.
Quality Debt (Organizational)
In The You On AI Field Guide
The invisibility is structural. Technical debt is, in principle, knowable: the engineer who wrote expedient code knows she cut a corner and often documents