We disabled PRs for PgDog, but left the issues open, for now.

Most bugs that are reported via AI-generated GitHub issues are edge cases, which are technically bugs, but not something anyone actually ran into.

Contributions are exclusively AI-generated, and it's much easier to just go off of a GitHub issue myself than asking the bot behind the GH account to remove the 5 redundant tests it added, or to refactor what has become a 3k line file.

AI doesn't care about code quality, maintenability, or long term goals. It's just a local maximum optimized with RL. Great for debugging, OK for reviews, but can't produce anything that's above average.

This is pretty spot on. AI will find some off the ball edge case that is a valid edge case but perhaps an undefined expectation of the code. Avoiding the additional complexity of handling it keep everything more grokable and clean.

Sadly, people seem to think all these edges AI finds are valid and must be fix and were never thought about. Most were thought about and deemed not worth the additional 50 if statements to handle. Cyclomatic complexity has exploded exponentially with AI and everyones response is “no no no you just need to use opus 6.5 and it will work”