Agent context engineering for production @googlecloudtech
Agent context engineering for production  @googlecloudtech
Uploaded June 2026 | Updated September 2026, 2 weeks ago
Homegrown sessions and state management can get you started, and local development environments can rely on filesystems and Git. But for scalable, maintainable deployed agents, you need more. Every LLM turn is a compiled view across the current state, ongoing session context, memory, various artifacts, tool responses, examples, and instructions. Join this session to discover how to go from “it works” to “it works great at scale” with context engineering best practices, architectures, and services.

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Speakers: George Lee, Kimberly Milam, Jeff Dixon, Preethi Prabhakar

BRK2-098
#googlecloudnext
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Agent context engineering for production

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