Frontier models often produce code roughly 10% more complicated than necessary for simple tasks. This inefficiency persists because the output solves the immediate problem, masking long-term technical debt. LessWrong analysis suggests developers accept this bloat too readily. This trend increases maintenance burdens for software engineers managing AI-generated codebases.