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Recent developments in AI-driven code review tools highlight advancements in both adversarial review techniques and automated review processes. New features from companies like Cursor and Vercel enhance the efficiency and effectiveness of code reviews, with improvements in resolution rates and the introduction of always-on security reviews. These innovations aim to increase scrutiny and streamline the review process, ultimately enhancing code quality and security for development teams.
A recent post by Theodore Ts’o explores an “adversarial review” prompt that pushes agentic systems to scrutinize their own work more skeptically. By using separate subagents and a competitive framing, it can surface more issues than typical self-checks.
Cursor has just rolled out Cursor Security Review, bringing always-on code review and scheduled scanning to Teams and Enterprise. It includes a PR-focused Security Reviewer and a Vulnerability Scanner that can post findings to Slack, with customizable triggers and tooling.
Cursor has just rolled out learned rules for Bugbot, turning real PR feedback into continuously updated review behavior. The company says Bugbot’s suggestions are now addressed nearly 80% of the time before merge, up from 52% at launch.
Vercel has just rolled out OpenReview, bringing a self-hosted AI code review bot to GitHub pull requests. Trigger reviews by mentioning @openreview, get inline suggestions, and even let it commit fixes using Vercel Workflow and Sandbox.