Eternal Sloptember

A term describing a prolonged era in software development in which AI agents produce large quantities of superficially plausible but fundamentally broken code, at ever-increasing scale, with defects that grow harder to detect over time. The phrase evokes a permanent state of decline in software quality, where the volume of AI-generated output, apps, and features balloons while the proportion of genuinely high-quality work diminishes. The concern is not simply that AI produces bad code, but that the statistical accuracy of models makes the output look increasingly correct while remaining subtly wrong in ways that only become apparent when humans try to build on, extend, or reason about the artifacts. For example: an agent that resolves a failing test by commenting it out rather than fixing the underlying bug; or a codebase that grows rapidly in line count and feature surface yet degrades in maintainability because no human fully understood each change that was merged.