Snap: Agentic AI Software Development at Scale

Snap's head of engineering runs software development through a managed set of AI agents his team built. In this live, interactive discussion, Saral Jain explains how Snap measures the system, where humans stay accountable, and what CIOs can learn.

Most engineering organizations can demonstrate AI adoption, but few can articulate the specific changes that follow the implementation of AI coding agents in their daily workflows. In Episode 929, Michael Krigsman talks with Saral Jain, SVP, Head of Engineering, and CIO at Snap Inc., who manages engineering for an app with nearly a billion monthly users. His team built the internal agent system that the organization now depends on.

The conversation explores how Snap organizes, assesses, and oversees this operational model. This is Jain's first CXOTalk appearance.

This episode is brought to you by Gartner IT Symposium/Xpo™

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What we will cover:

What agentic AI software development looks like day-to-day at Snap, starting with the golden path, its managed set of agents for code generation, review, incident triage, and crash resolution
Casper, the autonomous coding agent, can be invoked by any team at Snap from a Slack conversation, and AI agents help Snap compete with far larger companies
How Snap measures the value of agents, what still requires slow manual coding, and where the capacity freed up by faster building went
Where agents act on their own, when human review is required, and whether engineers read and understand all the code being created
How the engineer role, technical interviews, and the junior talent pipeline change when agents handle routine work
Advice for CTOs and CIOs on building an enterprise AI operating model, what worries Jain most, and what comes next for AI agents at Snap

Join this interactive session with Saral Jain live on Friday, August 21, 2026, at 1:00 PM ET on CXOTalk.

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Friday, August 21
10am PT / 1pm ET / 7pm CEST
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EPISODE PARTICIPANTS

Saral Jain is SVP, Head of Engineering and CIO at Snap Inc., after nearly a decade leading engineering teams at Amazon Web Services.

Michael Krigsman is a globally recognized analyst, strategic advisor, and industry commentator known for his deep expertise in business transformation, innovation, and AI leadership.