The shift from AI just finding vulnerabilities to actually triaging them at scale is where the real value is — discovery without prioritization just creates noise. 12 vulnerability patterns is a solid starting set. I'm curious how well the AI handles edge cases where a pattern technically matches but the context makes it a false positive — that's usually where human reviewers still outperform automated tools.