Using AI to write better code more slowly

AI earns its keep more by raising code quality than by raising output speed. Run several models -- Claude, Codex, Cursor -- over a pull request, rank what they flag by severity, fix the critical and high issues and bin the false positives, and you surface pre-existing bugs and weak spots even when none of it makes you faster. It turns the model from a 'slop cannon' that emits barely-passable code into a quality tool that catches the subtle stuff.

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