2025/12/12 by Ling‐Hong Hung, Hung, Ling-Hong, Ka Yee Yeung +1
Computer Science · Decision Sciences · Materials Science · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning in Materials Science #Scientific Computing and Data Management #Software Engineering (cs.SE)
paper · pdf · doi:10.48550/arxiv.2512.11993
openalex publication_date 2025/12/12 · openalex created_date 2025/12/17 · openalex updated_date 2026/07/28
Open-source scientific software is effectively closed to modification by its complexity. With recent advances in technology, an agentic AI team led by a single human can now rapidly and robustly modify large codebases and re-open science to the community which can review and vet the AI generated code. We demonstrate this with a case study, STAR-Flex, which is an open source fork of STAR, adding 16,000 lines of C++ code to add the ability to process 10x Flex data, while maintaining full original function. This is the first open-source processing software for Flex data and was written as part of the NIH funded MorPHiC consortium.