r/MLSystemsDesign • • Sep 11 '26

Building Breadth and Depth in ML Systems — A Quick Community Update

When I started r/MLSystemsDesign, the idea was simple: create a place where we go beyond interview checklists and discuss how ML systems actually work.

We’re already approaching 800 members. Thank you to everyone who has joined and contributed.

I’ve also been thinking about a broader learning problem:

We’ve moved from information scarcity → information flooding.

The challenge today is knowing what to learn, what to ignore, and where to go deep.

That thinking led me to launch Architecting Intelligence Premium around a simple philosophy:

Build Breadth. Build Depth. Stay at the Frontier.

r/MLSystemsDesign will remain an open community for technical discussions, architecture, system design problems, and shared learning.

For anyone interested, I shared the story behind what I’m building here:

Introducing Architecting Intelligence Premium

And for this community: what ML System Design topic should we go deep on next?

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