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Your agent has 100k tokens of context. It still forgets what you told it two messages ago. Join Baruch Sadogursky and Anton Weiss for a live session on context engineering, the architecture decision most teams skip.
Context isn't just a prompt setting. It's a design surface that you can get wrong in four very specific ways.
This session dissects each antipattern with a live coding agent demo: what breaks, why it breaks, and what the fix actually looks like in practice.
Spoiler: it's not about throwing more tokens at the problem. The teams burning the least context are running the tightest architectures.
What We’ll Cover:
- The four context antipatterns: Stuffed Prompt, Wrong Tool for the Job, Goldfish Agent, and Vibes Eval
- A decision framework for context architecture that doesn't require a PhD in prompt engineering
- Four checks you can run on your own agent Monday morning
- Live demo: see each fix applied to a real coding agent
Who Should View:
- CTOs and engineering leaders scaling AI-driven infrastructure
- DevOps & SRE teams managing Kubernetes in production
- Developers building or running AI agents in their daily workflow
About the Presenters
Baruch Sadogursky - Member of DevRel Staff, Tessl AI
Baruch has spent years at the intersection of developer tooling and platform engineering. At Tessl, he focuses on how AI agents actually get built and deployed in production.
Anton Weiss - Chief Storyteller PerfectScale
Anton has a storied career in creating engaging and informative content that helps practitioners navigate through the complexities of ongoing Kubernetes operations. With previous experience as a CD Unit Leader, Head of DevOps, and CTO and CEO he has worn many hats as a consultant, instructor, and public speaker. He is passionate about leveraging his expertise to support the needs of DevOps, Platform Engineering, and Kubernetes communities.
