AI coding tools have transformed from being a novelty to becoming essential infrastructure in just three years. Nowadays, many developers use AI regularly, a significant amount of new code is AI-generated, and there is a rapidly growing expectation for automation.
Sonar, a company that focuses on code quality and security analysis, recently unveiled the State of Code Developer Survey. This survey offers in-depth insights into how developers are incorporating AI into real production environments and identifies existing gaps and risks.
Chris Grams, CVP of Corporate Marketing, and Manish Kapur, VP of Product Marketing and Developer Relations at Sonar, joined Matt Merrill to discuss the survey’s findings on AI-assisted development. They explore why 96% of developers remain skeptical of AI-generated code, the role of deterministic verification layers in agent-driven workflows, and key priorities for engineering leaders as AI transitions from experimentation to production infrastructure.
Matt Merrill, a seasoned software engineering leader with over 20 years of experience, specializes in backend development, cloud architecture, and distributed systems design. He currently serves at DEPT® Agency, leading a team of engineers and developing software products. More about his work can be found at code.theothermattm.com.
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