LLM-based Visual Code Completion for Aerospace Geometric Design
A new paper introduces an LLM-based visual programming copilot designed for aerospace engineering geometric design tasks. The system utilizes a variant of the ReAct methodology and GPT-5.4, alongside a new Grasshopper plugin library called Wingbuilder and an associated dataset (AVPD) for aerospace-specific geometry abstraction. User trials indicated that while the copilot's suggestions were helpful, slow inference times limited its utility to more complex tasks, though participants expressed willingness to use it in the future. AI
IMPACT This research demonstrates a novel application of LLMs in specialized engineering fields, potentially improving design workflows if inference speed issues are addressed.