Developing real-time vision AI applications presents a significant challenge for developers, often demanding intricate data pipelines, countless lines of code, and lengthy development cycles.

NVIDIA DeepStream 9 removes these development barriers using coding agents, such as Claude Code or Cursor, to help you easily create deployable, optimized code that brings your vision AI applications to life faster.

This new approach simplifies the process of building complex multi-camera pipelines that ingest, process, and analyze massive volumes of real-time video, audio, and sensor data. Built on GStreamer and part of the NVIDIA Metropolis vision AI development platform, DeepStream accelerates a developer’s journey from concept to actionable insight across industries.

Video 1. How to use the NVIDIA DeepStream coding agents to generate complete vision AI pipelines from natural language prompts with Claude Code.

To watch a recording showing how to build a DeepStream vision AI pipeline using Claude Code or Cursor, click here.