AI coding tools have gone from novelty to core infrastructure in under three years.

Today, many devs use AI daily. A substantial share of new code is AI generated, and expectations for automation are rapidly increasing.

Sonar is a company specializing an analysis of code quality and security, and they recently released a new survey,

the State of Code Developer Survey. The survey provides a deep examination of how developers are

using AI and real production environments, and where the real world gaps and risks still exist.

Chris Grams is the CVP of corporate marketing at Sonar, and Manesh Kapoor is the VP of product

marketing and developer relations at Sonar. In this episode, they join Matt Merrill to discuss what the

survey reveals about AI-assisted development, why 96% of developers still don't fully trust

AI-generated code, how deterministic verification layers

fit into agent-driven workflows, and what engineering leader should prioritize as AI shifts from

experimentation to production infrastructure. Matt Merrill is a software engineering leader with over

20 years of experience building and scaling software teams across

enterprise and product-focused organizations. His background is in back-end development,

cloud architecture, and distributed systems design. He currently architects and delivers software

products and leads a team of engineers at Dept Agency. You can learn more about his work at code.theothermatem.com.

I am here with a couple of folks from Sonar to talk about the state of code developer survey report.

So before we get started, Manish and Chris, would you guys mind introducing yourselves and talking about your background and what you do at Sonar?

Minish, you want to go first?

Sure.

Nice to meet you, Matt, and thanks for having us on the program.

Chris Graham's.

I'm the VP of corporate marketing here at Sonar, which might immediately make people want to stop listening,

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