How LineageLens Scores Risk on Every AI Code Insertion — and Why Missing the Prompt Makes It Worse

You accepted a 35-line AI suggestion into auth.py. It looks clean. No red flags. Your linter passes. LineageLens has already scored it 54 out of 100. That number does not come from a model, a semantic classifier, or vibes. It comes from a small set of deterministic rules applied at the moment the record is ingested — and understanding how those rules compose tells you something useful about what "AI code risk" actually means in practice. The architecture: two functions, two moments...