AI Is Writing More Code. So Why Are Teams Getting Smaller?

AI Is Writing More Code. So Why Aren't Teams Moving Faster?

AI can generate 10x, 100x, or even 1,000x more code. But there's a problem: companies aren't necessarily delivering software any faster.

As AI accelerates development, it's exposing the bottlenecks, technical debt, and outdated processes that have been slowing engineering teams down all along.
So what happens when the solution isn't more developers or better AI tools, but actually smaller teams?

In this clip, Harness Field CTO Stephen Chiok, DORA's Nathan Harvey, and David Denslow of athenahealth discuss why AI-generated code isn't automatically translating into greater productivity, how platform teams are struggling to keep up, and why rethinking the way engineering teams work may be the key to moving faster.
David also shares how his organization shifted from teams of ten to teams of three, limited work in progress, and saw a significant increase in throughput.

As AI continues to transform software development, the question isn't just how much code we can generate. It's whether our organizations can adapt fast enough to deliver it.
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