EMNLP 2026 Oral asks: is agent-generated code less maintainable than human code?
kchonyc · x · 2026-11-10
At the NYU Global AI Frontier Lab seminar, Betty Li Hou presented "Is Agent Code Less Maintainable Than Human Code?", accepted as an EMNLP 2026 Oral.
The paper comes from an NYU/CMU team (Shashank Peter, Betty Li Hou, Arun Peri, Kai Xu, Jane Pan, He He, Valerie Chen, et al.) and directly compares the maintainability of agent-generated code versus human-written code — a pressing question for engineering teams increasingly relying on coding agents.
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