Researchers have developed a method using agentic AI to speed up simulations in project scheduling. They used the Claude AI system to identify and optimize bottlenecks in code written for high-performance computing environments. The approach allowed them to reduce runtime from 1,298 seconds to under 200 seconds without changing outputs, which could save millions of dollars annually. This method is particularly useful for researchers who lack software-engineering expertise but need to optimize their code. --- Why it matters: This matters because it provides a way for researchers with limited programming skills to speed up their simulations and make better use of computing resources. It's especially relevant in fields like AI, where large-scale simulations are common and optimizing code can be time-consuming. Source: https://arxiv.org/abs/2608.19487