The Hidden Gaps in Agentic AI: Trust, Evaluation, and Security
NOTE : this podcast was recorded on 7/14/2026. In this installment of Radio Cloud Native, two engineers from the Office of the CTO at Mirantis: Justin Winter (Principal Software Engineer, AI/Agentic Systems) and Randy Bias (VP of Strategy and Technology, Open Source Program Office), sit down for an unscripted conversation about what it actually takes to build with AI agents in 2026. The conversation moves from the personal to the practical: how each of them got pulled into AI early (one as a builder, one as a skeptic-turned-convert), and what's changed as they've gone from experimenting freely to shipping production systems that others depend on. Along the way, they get into the unglamorous but critical problems nobody's fully solved yet: how do you actually trust what an agent produces, how do you evaluate a system that's non-deterministic by design, and how does security keep up when the tools are moving faster than the policies meant to govern them? They close with a shared take on where all of this sits in the bigger arc of technological change, and what they'd tell someone just getting started. Topics include: Why coding harnesses like Claude Code, Codex, and Fable matter more right now than the underlying models themselves The evals gap most teams haven't solved yet and why "black-boxing" your agents is a problem How Agent Skills quietly became the pattern that stuck, while MCP is "still finding its spot" The case for small, cheap local models handling routine workflow steps while frontier models handle judgment calls Why AI security teams are structurally behind the curve, plus a live example of Claude flagging a harmless dev secret as a critical risk What separates people who get real value from AI tools from those who don't (hint: it's not prompting skill) Why we're still in the "2011–2012 of cloud computing" phase of this AI shift, with several more years of rapid change ahead If you want to listen to more episodes of Radio Cloud Native, please visit https://www.mirantis.com/radiocloudnative/ to download, or find them wherever you prefer to consume your podcasts. If you are interested in contributing to Radio Cloud Native, please reach out to our podcast team: podcasts@mirantis.com






