Use review loops to improve code health without turning every AI-assisted diff into a debate marathon.
Review loops are compression, not ceremony. They compress a noisy draft into a change that clearly improves the system. The biggest failure mode in vibe-coding is mistaking speed for sufficiency. When a model generates a plausible diff, reviewers often evaluate whether it works, but skip whether it widened scope, weakened consistency, or made future maintenance harder. What to review first Start with scope. If the task was “fix invoice retry,” the first question is whether the diff stayed in invoice retry. Then check evidence. A good AI-assisted change names the test, log, or reproduction that proves the fix. Only after…
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