{"ID":2829974,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.11993","arxiv_id":"2512.11993","title":"Re-opening open-source science through AI assisted development","abstract":"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.","short_abstract":"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 th...","url_abs":"https://arxiv.org/abs/2512.11993","url_pdf":"https://arxiv.org/pdf/2512.11993v1","authors":"[\"Ling-Hong Hung\",\"Ka Yee Yeung\"]","published":"2025-12-12T19:16:53Z","proceeding":"cs.SE","tasks":"[\"cs.SE\"]","methods":"[]","has_code":false}