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How Meta Reduced Code Review Load While Maintaining Production Reliability

Hello, I'm Shrijith Venkatramana, and I'm building LiveReview — a blast-radius aware AI code review built for your business-critical systems. Star us to help devs discover the project, give it a try, and share your feedback to help improve the product. AI coding agents have created a peculiar problem for software engineering: writing code is getting cheaper, but establishing that the code is safe to ship still requires scarce human attention. At Meta, this problem became measurable. Over one year, significant lines of code per human-landed diff increased by 105.9%, while diffs per developer per month increased by 51%. More than 80% of the increase in diff volume was attributed to agentic AI. Meanwhile, the share of diffs reviewed within 24 hours was declining. Some large engineering groups had thousands of pending reviews. Meta's response was to automate a specific class of code reviews rather than attempt to automate all of them. The system, called RADAR (Risk Aware Diff Aut
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