Nemotron Labs

How do CodeRabbit and NVIDIA Nemotron work together to make developers’ lives easier and help teams ship faster? In this session, a founding engineer and the head of enterprise engineering at CodeRabbit will walk through a step‑by‑step workflow for building and operating Nemotron‑powered coding agents that automate common developer workflows in production.

In this live walkthrough, you’ll learn how to:

• Design multi‑model agents that pair efficient Nemotron models for high‑volume orchestration and context building with frontier models for state‑of‑the‑art reasoning.
• Orchestrate an end‑to‑end agent loop: pulling signals from code, knowledge bases, and project tools, using Nemotron to structure and summarize this context, and routing it into downstream tasks.
• Apply these patterns in your own stack to build domain‑specific agentic workflows that balance latency, cost, and reliability for everyday developer workflows.

Bring your questions on architecting and operating agentic workflows for modern software teams, we’ll address them live as we walk through the step‑by‑step flow, configuration, and code in real time.

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IRL at HQ with Nv and CrewAI

What if your computer-use agent could learn a new command-line tool—operating it safely, without writing files or free-typing shell commands? With NVIDIA Nemotron open models, you can quickly train specialized agents for any CLI, using synthetic data and reinforcement learning—no usage logs required.

Curious how it can be adapted for your own proprietary CLI environment? Join us live for a developer-focused livestream. In this interactive livestream, we’ll cover:

• A live demo: Generating synthetic training data using NeMo Data Designer, validating examples, and fine-tuning with techniques like LoRA and reinforcement learning with verifiable rewards (RLVR) using NeMo RL.
• Showcase how safety is built into every layer, from human-in-the-loop command approval to runtime isolation.
• Explain why synthetic data generation and RL accelerate agent specialization without compromising accuracy or trust.

Bring your questions about the workflow, model customization, and synthetic data generation we’ll be answering them live throughout the livestream.

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