AI RESEARCH
LLM-Powered Workflow Optimization for Multidisciplinary Software Development: An Automotive Industry Case Study
arXiv CS.AI
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ArXi:2603.21439v1 Announce Type: cross Multidisciplinary Software Development (MSD) requires domain experts and developers to collaborate across incompatible formalisms and separate artifact sets. Today, even with AI coding assistants like GitHub Copilot, this process remains inefficient; individual coding tasks are semi-automated, but the workflow connecting domain knowledge to implementation is not. Developers and experts still lack a shared view, resulting in repeated coordination, clarification rounds, and error-prone handoffs.