Summary:
- Explores the emergence of "AI-generated technical debt," where automated coding agents produce suboptimal or redundant code patterns at scale.
- Proposes an "architecture garbage collection" framework to identify, refactor, and maintain the integrity of codebases heavily influenced by AI-assisted development.