AI code review triage: risk-scoring changes to focus human attention
The review queue is the new bottleneck. AI writes code faster than any of us can read it, and the honest response most people land on is to skim everything and rubber-stamp the rest. That's how bugs and security holes slip through while you feel productive.
The thing nobody says out loud: not every diff deserves the same attention. A rename and a change to an auth path are not the same risk, but we treat them identically because reviewing is manual and boring.
That's the idea behind something we've been kicking around — a triage layer that sits in your GitHub PRs and risk-scores AI-generated changes. Untested branches, security-sensitive paths, and gnarly logic get flagged for a human. The trivial stuff gets a confident auto-approve, so you spend review time where it actually matters. We found this exact tension while digging through Cursor and Copilot communities on SoloVault.
For those of you shipping AI code daily — how are you deciding what's worth a real read right now?
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