Liyuan Yang

A new NBER working paper tracking over 100,000 GitHub developers found that AI coding agents increased lines of code by 741% and pull requests by 65%, but shipped releases rose only 20% and end-user d…

A new study from MIT and Wharton researchers Mert Demirer, Leon Musolff, and Liyuan Yang reveals that AI coding tools dramatically boost task-level velocity but produce far smaller gains in actual shi…

A study of over 100,000 GitHub developers found that successive generations of AI coding tools—autocomplete, interactive agents, and autonomous agents—boosted coding commits by 40%, 140%, and 180% res…