Getting Humans Out of the Way: How to Work with Teams of Agents

MLOps.community · Beginner ·🤖 AI Agents & Automation ·2w ago
Rob Ennals is a Staff Software Engineer at Uber, working on large-scale distributed systems and core backend infrastructure. Getting Humans Out of the Way: How to Work with Teams of Agents // MLOps Podcast #368 with Rob Ennals, the Creator of Broomy Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter MLOps GPU Guide: https://go.mlops.community/gpuguide // Abstract Most people cripple coding agents by micromanaging them—reviewing every step and becoming the bottleneck. The shift isn’t to better supervise agents, but to design systems where they work well on their own: parallelized, self-validating, and guided by strong processes. Done right, you don’t lose control—you gain leverage. Like paving roads for cars, the real unlock is reshaping the environment so AI can move fast. // Bio Rob Ennals is the creator of Broomy, an open-source IDE designed for working effectively with many agents in parallel. He previously worked at Meta, Quora, Google Search, and Intel Research. He has a PhD in Computer Science from the University of Cambridge. // Related Links Website: https://robennals.org/ https://broomy.org/ https://learnai.robennals.org/ (not yet announced, but should be by the time of the podcast) ~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~ Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExplore Join our Slack community [https://go.mlops.community/slack] Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register] MLOps Swag/Merch: [https://shop.mlops.community/] Connect with Demetrios on LinkedIn: /dpbrinkm Connect with Rob on LinkedIn: /robennals/ Timestamps: [00:00] Agent Optimization Strategies [00:21] Visual Regression Explanation [05:35] Automated QA for Videos [13:05] Verification System Design [19:48] Agent Selection Strategies [30:48] P
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