The Morning Download: AI Transforms Engineering Teams into Tiny Pods

Good morning. Amazon founder Jeff Bezos, famous for so many things, was known early on for his rule that two pizzas should be enough to feed any team. The idea caught on within the company and beyond, as engineering embraced smaller teams as a way to enable speed and agility.

As AI comes to the fore, those small teams within engineering organizations across corporate America are breaking down into even smaller units of people and AI agents known as pods. The Wall Street Journal Leadership Institute’s Isabelle Bousquette has the story.

“Smaller than a traditional engineering group, pods are designed to move faster to build and iterate on products. They’re also more cross-functional, including not just engineers but also designers and applied scientists. And critically, all that expertise is concentrated in just a handful of human workers (anywhere from one to eight), as well as AI agents,” she writes.

With AI agents doing more of the actual software development, including coding and testing, it takes fewer human workers to build products at scale.

Earlier this month, when Coinbase announced it was laying off 14% of its workforce, in part to reorganize itself for the AI age, Chief Executive Brian Armstrong wrote that he was doubling down on AI-native pods.

“We’ll be concentrating around AI-native talent who can manage fleets of agents to drive outsized impact. We’ll also be experimenting with reduced pod sizes, including ‘one person teams’ with engineers, designers, and product managers all in one role,” he said.

Today, Amazon still has its “two-pizza teams,” but, hypothetically, a 16-person, two-pizza team might be broken up into two smaller cross-functional pods of eight, each focused on a specific project, according to according to Deepak Singh, a vice president at Amazon Web Services. Everyone in your pod is also on your two-pizza team, but not everyone in your two-pizza team is in your pod, said Singh.

“If you have a large team, you spend half your time just talking to each other and trying to figure out what needs to be done,” said Singh. “The goal has always been velocity and one of the best ways of increasing velocity is making decision-making faster.”
As AI agents spread beyond engineering into other areas of the business, we won’t be surprised if the concept of the pod travels with them, either.

Have you had any experience working with AI pods? Let us know.

• Apple has developed a business selling cheaper devices like the MacBook Neo and iPhone 17e by repurposing its own chips that have defective cores or missing components, a cost-saving tactic that allows it to segment its product lineup and reach more customers. This approach has proven so successful that Apple is now running out of these ultracheap binned chips.
• Bug bounty programs that pay hackers to find software vulnerabilities are being overwhelmed by low-quality AI-generated reports, FT reports. Some vendors are implementing stricter filters and AI triage tools to manage the flood.

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Follow Isabelle Bousquette on LinkedIn, Instagram, X, and TikTok for more behind the scenes on her tech and AI coverage, and lately, her contributions to the WSJ Leadership Institute's new Executive Resilience series, where she's profiling America's top execs about their fitness and wellness habits.

Follow Belle Lin on LinkedIn and X for her latest reporting on enterprise technology and AI.

Steven Rosenbush is chief of the enterprise technology bureau at the WSJ Leadership Institute. He also has a column. You can follow him on LinkedIn.

Tom Loftus is the editor of The Morning Download. He suggests following Isabelle, Belle and Steve on their various social channels. But if you insist, here's his LinkedIn.