CodeDistiller: Automatically Generating Code Libraries for Scientific Coding Agents
By: Peter Jansen, Samiah Hassan, Pragnya Narasimha
Published: 2025-12-15
View on arXiv →#cs.AI#LLM#Code Generation#Scientific Computing#Agents#Automated Documentation#RAGSoftware DevelopmentScientific ResearchData SciencePharma/Biotech
Abstract
CodeDistiller proposes a method for automatically generating code libraries, specifically tailored for scientific coding agents. This research has profound implications for accelerating scientific discovery by providing AI agents with readily available, optimized code modules for various computational tasks, reducing manual programming effort and enhancing research efficiency.