NVIDIA DeepStream 9 introduces coding agent support (Claude Code, Cursor) to generate production-ready vision AI pipelines from natural language prompts. The post walks through two concrete examples: building a multi-stream VLM video analytics app using Cosmos Reason 2 with Kafka output, and integrating a YOLOv26 object detection model. Both workflows end with converting the generated app into a FastAPI microservice with Dockerfile and deployment scripts. The coding agent handles model inspection, TensorRT conversion, custom parsing libraries, and GPU-optimized buffer management automatically.
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Using NVIDIA Cosmos Reason 2 to build a video analytics appGenerating an efficient realtime CV application using any modelRedefining vision AI developmentGetting startedResourcesSort: