Speaker
Abstract
AI agents are only as strong as the infrastructure beneath them. In this talk, we’ll walk through the architecture behind Browserbase’s model context protocol (MCP), built to support stateful browser automation at scale. From concurrency models to session isolation, this talk dives into what it actually takes to run parallel agents in production, and what we learned the hard way. Expect live demos, real-world lessons, and infra blueprints you can steal.
Main Takeaways:
- Infra-first thinking is crucial for agent-based web automation.
- MCPs are not just tools, they’re runtime environments with real constraints.
- Attendees will leave with:
- Concrete patterns for scaling headless browser fleets.
- Security tips for managing cookies and sessions safely.
- Infra cost models and deployment blueprints.
- Hard-won lessons from production-scale orchestration.
Interview
We’re building a stateful, concurrency-safe browser infrastructure for AI agents. Our focus is making multi-agent orchestration reliable, secure, and scalable—without abstracting away the parts developers actually need to control, like context and memory.
Everyone’s excited about agents but very few talks get into the gritty, technical realities of running browser-based agents at scale. We wanted to share the behind-the-scenes of how infrastructure decisions shape performance, reliability, and developer experience. If you’re building agents that touch the web, this is the stuff no one’s documenting yet—but should be.
Chief Innovation Officers, Engineering Leads, AI Engineers, Technical Leads, etc.
Topics
QCon San Francisco 2025 is a three day conference for senior software engineers, architects and team leads. An international program committee of working engineers selects every session. Patterns and practices, not products and pitches.
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