Reorganizing the dev teams at Visa to take advantage of AI

When you speed up the SDLC process, you should collapse silo’ed teams into one team to prevent human bottlenecks based on handoffs. Here’s that at Visa:

As a result of the unlocks we can realize with this new tooling, we are re-forming our product development teams that used to be 10 or more into smaller and more nimble agentic squads of two to four. And the results are meaningful for those teams that are using the agentic tool chain with 80% more code commits and 80% plus improvement in requirement definition from 30 days to five days, which has translated to 65% plus faster feature development. As a result of this new way of working, we are able to design, build and ship products at an increased velocity with continuous innovation and improvement.

We have fundamentally shifted the what and how in our product development life cycle. We now have more than 150 AI-powered applications. And over the last 12 months, we have shipped more than 300 major product releases.

When you get a new technology that, like, actually works, you need to change how you work to get the benefits.

You can hear all the 2010’s DevOps heads saying “yeah, I coulda told you that. Uh, er: you kids get off my lawn, or something.”

Related, this is exactly what the Tanzu teams are finding out and doing as they use AI more:

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