Governing Multi-Agent Workflows at Enterprise Scale
with Brian Turcotte and Jess Haberman
Scale Without the Risk
Multi-agent coding systems promise speed, but speed without control is how AI projects stall before production. This session looks at what it takes to run multiple AI agents in parallel across your IDE and CLI without losing the reproducibility, lineage, and governance your team needs to ship confidently, and how agents can act on your behalf without expanding your risk surface.
- Run multiple AI agents in parallel across your IDE and CLI
- Structure agent workflows to scale without new blind spots
- Track what an agent shipped, touched, and if it can be reproduced
- Build a framework security and compliance teams will not push back on
Meet the Speakers
Brian Turcotte
Sr. Developer Relations Engineer, Anaconda
Brian Turcotte manages developer relations and marketing for Kilo by Anaconda, the open-source agentic engineering platform. He builds the technical content, community programs, launches, and model-provider partnerships that help developers build with agents.
Jess Haberman
Director, Content Strategy, Anaconda
Jess Haberman is Content Strategy Director at Anaconda, working with tech leaders to develop expert content on data and AI. She has presented and facilitated technology conferences, webinars, tutorials, podcasts, publishing seminars, and writing retreats.
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