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.