Stephen Walters, Field CTO, GitLab on AI’s Role in DevOps, & Developer Evolution

What happens when AI writes your code—but forgets to think?

 In this no-hype, all-reality episode of Discover Dialogues, Stephen Walters, Field CTO at GitLab, joins host Vikramsinh Ghatge to break down the transformation (and misconceptions) around AI in DevOps. From security flaws to the future of developer roles, this episode cuts through the buzz to reveal what’s actually happening behind the scenes of AI-powered engineering.
 

Episode Overview:

In recent years, AI and DevOps have become two of the most talked-about domains in enterprise tech. But what happens when these worlds collide? In this episode, Stephen shares startling insights from real-world implementations—like how one AI-generated system with over 3 million lines of code introduced hundreds of security vulnerabilities. Why? Because the AI didn’t “think,” it just generated.

This episode explores:
 

• Why AI won't replace developers, but will demand better ones

• The security blind spots in AI-generated code

• How leadership must balance hype with long-term investment in skills

• Why “thinking” still matters in a world of automated delivery

• The importance of budgeting for continuous improvement

If you're a DevOps leader, CTO, or developer looking to understand the intersection of human expertise and machine assistance, this is your blueprint.

About Stephen Walters:

Stephen is Field CTO at GitLab, advising global enterprises on scaling DevOps securely. He champions value stream thinking, secure-by-design development, and the human layer of digital transformation. With a career spanning infrastructure, software development, and leadership, he brings strategic insight into how tech teams adapt to rapid change.

Watch it now and learn why AI alone won’t future-proof your pipeline—but a culture of learning and context-driven development might.