Computer Science
Gabrielle O’Brien, Nasir U. Eisty, Nasir U. Eisty, Thomas M. Evans
Resumen
Large language model-based tools are rapidly becoming part of everyday scientific programming. Here, we discuss converging findings from surveys and focus groups of scientific programmers about usage trends, tool choices, and emerging concerns. We argue that rising adoption will strain existing infrastructure for ensuring the rigor and scientific validity of scientific software, and discuss approaches to meeting this urgent challenge.
Formato de cita
O’BRIEN, Gabrielle, et al. Scientific software in the age of vibe coding. COMPUTING IN SCIENCE & ENGINEERING, 2026, 28(1): 112–116.