Author

Matt Labunka

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1 papers

Automating Low-Risk Code Review at Meta: RADAR, Risk Calibration, and Review Efficiency

AI-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 AI responsible for over 80% of that…

Software Engineering · Computer Science 2026-05-29 Chris Adams , Arjun Singh Banga , Parveen Bansal , Souvik Bhattacharya , Rujin Cao , Pedro Canahuati , Nate Cook , Brian Ellis , Prabhakar Goyal , Gurinder Grewal , Tianyu He , Matt Labunka , Alex Manners , David Molnar , Ging Cee Ng , Vishal Parekh , Jiefu Pei , Frederic Sagnes , James Saindon , Will Shackleton , Sid Sidhu , Gursharan Singh , Karthik Chengayan Sridhar , Matt Steiner , Pratibha Udmalpet , Sean Xia , Stacey Yan , Audris Mockus , Peter Rigby , Nachiappan Nagappan