Poster
in
Workshop: CODEML: Championing Open-source DEvelopment in Machine Learning
An LLM-Powered Tool for Enhancing Scientific Open-Source Repositories
Nikolay Nikitin · Andrey Getmanov · Zakhar Popov · Ulyanova Alekseevna · Yaroslav Aksenkin · Ilya Sokolov · Alexander Boukhanovsky
Abstract:
We present ISOS (Improver for Scientific Open Source), an open-source tool that uses large language models (LLMs) to improve scientific repositories. ISOS uses an agent-based architecture to automate tasks such as generating README files, docstrings and documentation, configuring CI/CD pipelines, creating tag annotations and analysing repositories to provide recommendations on best practice. Unlike code-generation tools, ISOS focuses on enhancing existing repositories. We have validated ISOS's effectiveness across diverse scientific repositories in multiple domains.
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