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Experimenting with solutions for code review bottlenecks. Meta's approach is interesting. AI-driven diffs grew 106% year over year, so they built a risk-based auto-reviewer that cut revert rates to a third and review time by 35%. arxiv.org/abs/2605.30208

arxiv.orgAutomating Low-Risk Code Review at Meta: RADAR, Risk Calibration, and Review EfficiencyAI-assisted coding tools have altered software production. At Meta, significant lines of code per human-landed diff grew by 105.9% year over year and per-developer diff volume rose 51%, with agentic…

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