When Context Eats Your Architecture

Anthropic lobbed a million-token grenade into the coding wars, and suddenly every AI startup with a “clever context management” pitch looks like it’s selling floppy disks in a cloud world. If your entire differentiator was “we chunk code better than the other guy,” congratulations—you’ve been chunked. This is what happens when the model itself shows up to the fight with a bigger backpack. 
 
But here’s the twist—this isn’t just about writing bigger code files without losing track of your variables. For enterprises, context size is an architectural shift. A million-token window means you can shove your entire compliance manual, last year’s customer interactions, and that dusty COBOL spec into one call—no brittle session stitching, no RAG duct tape. It collapses architectural complexity… and replaces it with new headaches: governance of massive payloads, cost blowouts if you treat tokens like they’re free, and rethinking model routing strategies. Context isn’t just memory anymore—it’s a first-class infrastructure decision. 
 
Press play to hear F5 hosts Lori MacVittie and Joel Moses, joined by special guest Vishal Murgai, unravel what's next for enterprise AI.

Creators and Guests

Joel Moses
Host
Joel Moses
Distinguished Engineer and VP, Strategic Engineer at F5, Joel has over 30 years of industry experience in cybersecurity and networking fields. He holds several US patents related to encryption technique.
Lori MacVittie
Host
Lori MacVittie
Distinguished Engineer and Chief Evangelist at F5, Lori has more than 25 years of industry experience spanning application development, IT architecture, and network and systems' operation. She co-authored the CADD profile for ANSI NCITS 320-1998 and is a prolific author with books spanning security, cloud, and enterprise architecture.
Vishal Murgai
Guest
Vishal Murgai
With 25+ patents and 10+ IEEE publications, Vishal brings deep expertise in AI, and GenAI to transform networking, cloud, security, and 5G applications. From high-performance ML inference to anomaly detection and hardware offloads, Vishal has led teams turning cutting-edge AI concepts into real-world impact.
When Context Eats Your Architecture
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