Engineering teams using AI agents face growing code review backlogs, but the real challenge is establishing product judgment and automated checks to catch issues before human review. The article argues that teams should build domain-specific evaluation criteria and automated gates—from compiler checks to UX validation—to let agents self-correct, transforming code review from a bottleneck into a learning opportunity.
Software engineers often trust passing tests and monitoring systems without verifying they actually work. This article presents nine rules for ensuring safety checks are genuine rather than decorative, including deliberately breaking tests, checking at the point of user impact, and eliminating checks that cannot fail.