From Code Review to Code Critique: Intent, Drift, and Spotlight for AI-Generated Diffs at Scale

Excerpt

arXiv:2607.29516v2 Announce Type: replace-cross Abstract: AI coding agents are generating code at volumes that exceed the capacity of traditional peer review. At the same time, existing AI code review tools over-index on low-value suggestions such as style and best practices while under-indexing on the concerns human reviewers prioritize most: correctness, security, and performance. We present ARCTIC, an AI-powered Code Critique system that reframes code review around three capabilities: intent