Live Webinar
The CAFE(S) framework: Improving AI agent effectiveness through better context
As AI agents become more capable, context quality is increasingly becoming the limiting factor in their performance. On Thursday, September 24, DX is hosting an early look at CAFE(S), a new framework for evaluating whether AI agents have the context they need to do their jobs well. The session introduces the five dimensions of CAFE(S) and demonstrates how engineering organizations can use them to understand how context quality influences agent performance, developer productivity, operating costs, and scalability.
To accommodate global audiences, we’re offering two distinct sessions. Register once to be invited to both sessions, then attend the one that best fits your schedule:
- US/EMEA (9:30 AM PT): DX Distinguished Scientist Brian Houck is joined by fellow CAFE(S) framework co-authors Max Kanat-Alexander (Capital One), Eirini Kalliamvakou (GitHub), and Margaret-Anne Storey (University of Victoria).
- APAC (5:00 PM PT / 10:00 AM AEST Sept 25): Brian Houck is joined by DX Deputy CTO Justin Reock, who will share practical insights and patterns gathered from discussions with engineering leaders across the industry.
- Recordings for both sessions will be sent to registrants after the live webinars have concluded.
Save your spot
Speakers
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Brian Houck
Distinguished Scientist, DX
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Max Kanat-Alexander
Executive Distinguished Engineer, Capital One
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Eirini Kalliamvakou
Research Advisor, GitHub
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Margaret-Anne Storey
Professor of Computer Science, University of Victoria
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Justin Reock
Deputy CTO, DX
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