Show HN: Jacobi–IDE for Abaqus subroutine with analytical tests and AI diagnosis (jacobee.netlify.app)

Jacobi has launched a specialized IDE for developing physics simulation subroutines compatible with Abaqus, allowing users to write code in Fortran, C++, or Python. This tool stands out by testing subroutines against fifteen closed-form analytical solutions, enabling developers to identify failures and precisely quantify errors. Integrated AI diagnostics further enhance the process by providing contextual explanations for failures, pinpointing the issues within the code while referencing authoritative texts on relevant algorithms and principles. This focused approach aims to streamline the process of achieving physically accurate behavior in simulation subroutines. The significance of Jacobi lies in its ambition to create a versatile environment within the broader physics simulation ecosystem, offering deep integration with Abaqus while laying the groundwork for future compatibility with other solvers like COMSOL, Nastran, and LS-DYNA. By enabling seamless switching between solvers without requiring code modifications, Jacobi is positioned to enhance developer efficiency significantly. The IDE's adoption of the powerful Monaco editor enables intuitive code writing and debugging, while the live AI suggestions foster a rich coding experience tailored to the complexities of simulation algorithms, making it a game-changer for the AI and ML community engaged in computational mechanics.