How Redis Structures AI-Native Engineering: 3-4 Person Pods, Faster Decision Cycles
Summary
Eric Sammer (Distinguished Engineer, Redis) defines 'AI-native' as building as if AI already existed from day one; Redis works in 3-4 person pods with a single feature lead. Key insight: the bottleneck shifted from writing/shipping code to how quickly teams can align and decide, driving more frequent standups and roadmap cycles shrinking from weeks to hours. Article is paywalled after this point.
Why this signal
Org-structure-in-the-AI-era data is an explicit HIGH SIGNAL calibration item for Neo's leadership decisions — the 'decision speed, not code speed, is now the bottleneck' framing is directly usable, though the rest of the piece is paywalled and worth seeking out in full.
Original email
Engineering Leadership Gregor · 8/27/2026
How Redis Builds AI-Native Engineering Teams