Intel / article

Developing NVIDIA Holoscan Applications with CLI, Skills, and AI Coding Agents

Source: developer.nvidia.com
Author: Elizabeth Goodman
Date: Published Aug 19, 2026

Context

NVIDIA describes an engineer-guided coding improving an endoscopic-video application by measuring and removing dashboard overhead. The project reused an existing segmentation model and sample video, with model weights unchanged. Engineers set successive goals, while OpenAI's Codex implemented changes through the same command-line tools the engineers could inspect and repeat. The workflow is documented in the Holoscan article.

Across five trials on the same system, reported rendered throughput rose from 204.0 to 306.9 frames per second and mean application-path latency fell from 4.891 to 3.247 milliseconds. still ran on every frame. These measurements concern an engineering prototype processing sample footage, rather than clinical performance.

Terms in this piece · Glossary

AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.

Read the source developer.nvidia.com