This downloadable PDF case study shows how I used NVIDIA NIM to evaluate policy-guided coding agents in an AI coding workflow. It examines how policy guidance improved spec fidelity and changed the shape of the implementation, offering a practical example of agentic engineering with the NVIDIA AI stack.
PolicyNIM Resources: NVIDIA NIM, Research, and Open Source Assets
To make this research more useful, I’ve included the core PolicyNIM resources below. These assets cover the code, technical implementation, and applied research behind my work with NVIDIA NIM and policy-guided coding agents.
Tutorial on NVIDIA NIM
A hands-on walkthrough of how I built PolicyNIM with NVIDIA NIM.PolicyNIM GitHub repository
The open source implementation and supporting code.PolicyNIM NeMo workflow project
A related NVIDIA-aligned technical artifact.Java PolicyNIM is the Java-first companion to the existing Python PolicyNIM project.
