AI Slop: Why Generated Code Passes Tests but Weakens Systems

AI-generated code often compiles and passes tests while introducing subtle forms of technical debt that undermine long-term maintainability. Rather than obviously broken code, the real danger lies in patterns like swallowed exceptions, unsafe type casts, and redundant comments that degrade reliability and increase maintenance burden. For teams leveraging AI-assisted coding, recognizing these hidden defects is critical—they accumulate silently until production failures expose their true cost.