I have an idea on how to tell if a codebase is rotting under AI Agent maintenance. We can collect and analyze how the coding agent reads code during programming tasks, and see if the code access and token consumption are steadily increasing for similar development tasks. If the code readability doesn't degrade for the agent, the maintainability of the codebase should be fine.

It's alarming how people instantly jump to conclusions that Bun is now "AI slop".

Bun has been almost entirely worked on by LLM's for ~6 months now, long before the Rust re-write (source: https://x.com/jarredsumner/status/2054525268296118363). It already has been proven that LLM's can maintain such codebases.