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. DX is bringing together a panel of researchers on Thursday, September 24, for 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 will introduce the five dimensions of CAFE(S) and show how engineering organizations can use them to understand how context quality influences agent performance, developer productivity, operating costs, and the ability to scale AI effectively.
To accommodate global audiences, we will offer separate US/EMEA and APAC sessions. Register once to be invited to both sessions, then attend the one that best fits your schedule. Both sessions will cover the following:
- A practical framework for evaluating the quality of AI agent context.
- A shared vocabulary for diagnosing common context failures before they become production problems.
- Guidance for individuals, teams and organizations to improve context quality.
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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