Research activities necessitate the exploration of ideas which may involve significant software development, experimentation, and testing effort. The ability of Large Language Models (LLMs) to generate executable software has been demonstrated in various use cases. This study highlights the positive outcomes of a use case involving a graph theory application. Through a series of successful prompts, functional software was produced within minutes, a task that would otherwise have taken several hours or days to complete. Rather than focusing solely on cost savings from reduced engineering effort, this study aims to highlight the substantial opportunity benefits provided by this technology, especially since research typically involves evaluating multiple ideas before selecting the optimal solution.
Introduction
When considering great systems thinking quotes, Donnella H. Meadows stands out: “Remember, always, that everything you know, and everything everyone knows, is only a model. Get your model out there where it can be viewed. Invite others to challenge your assumptions and add their own.”