Bad AI-Generated Code Compounds Over Time, Corrupting Agent Context

When coding agents produce low-quality architecture or patterns that merge into a repo, subsequent agent runs treat that code as canonical, building further on flawed foundations — creating a compounding degradation loop rather than a one-time cleanup problem. Teams using coding agents need structural review mechanisms to prevent bad patterns from becoming training signal for future changes.