Agents in Production: DevTools demo night

AI agents are writing code, taking support calls, running workflows inside internal tools, acting on behalf of users across the products your customers already live in. Getting an agent to work in a demo is the easy part. Getting it to hold up in production at scale with real users and real edge cases is where most teams actually get stuck. That's true whether the hard part for you is infra, product design, workflow, trust, cost, or something nobody's named yet. If you've shipped something that solves a real "demo to production" problem for agents, this is a room full of the people who'd actually use it. If you're building agents internally, this is where you see what's working elsewhere, and meet the people solving problems you haven't hit yet. Fireside chat: Matt Biilmann, CEO of Netlify, in conversation with Ravi (Scalekit) on agent runners - the infrastructure for running and managing AI agents in production. Ravi sits down with Matt to talk through why now, what changes for developers, and what "production-ready" actually means when the thing you're running is an agent, not a script. Speakers & demos Agenda 5:30 – 6:00 PM: Arrival, check-in, and networking6:00 – 7:30 PM: Fireside & Demos Who this is for Format About us: Scalekit is the connectivity layer between AI agents and enterprise apps - SaaS apps, APIs, MCP servers. Agent builders use our SDK to let agents act on behalf of users with per-user token lifecycle, scoped permissions, and tool-calling that holds up in production.