Video Interviews
GitHub Workflows Strain Under AI Agent Development
Coder CEO Rob Whiteley joins Mike Vizard to explain why GitHub workflows, CI/CD pipelines and developer platforms are showing strain under agentic development — and what a policy-aware redesign of the DevOps ...
Trusted Open Source Catalogs for AI and Developers
Leslie Pascual of ActiveState joins Alan Shimel to explain why trusted open source catalogs — not after-the-fact scanners — are becoming table stakes as AI agents pull components at machine speed ...
AI Raises the Stakes for Observability Engineering
Honeycomb's Liz Fong-Jones joins Alan Shimel to explain why observability engineering has become the real bottleneck in AI-assisted development — and how agent-assisted workflows are reshaping the loop ...
The Verification Gap Behind Every AI-Generated Release
Sauce Labs CEO Prince Kohli joins Mike Vizard to unpack why AI code generation is racing ahead of testing — and why 80 percent of organizations have already traced a production incident ...
AI Code Generation Raises New Quality Risks
Mladen Lazic, CTO of Scopic, joins Mike Vizard to explain why AI-generated code is outpacing review capacity — and why independent QA agents that never see the source code are becoming essential ...
Why Agentic Coding Needs Governance at Scale
CloudBees CEO Moritz Plassnig joins Alan Shimel to explain why agentic coding is exposing every unfinished piece of the DevOps transformation — and why AI-scale delivery needs AI-scale governance ...
Mezmo Open Sources AI SRE Operations
Site reliability engineering has been quietly buckling under its own success. The scope of what SRE teams are expected to own — observability, incident response, telemetry pipelines, capacity, cost, resilience — keeps ...
Why Your Best People Can’t Save a Broken Delivery System
When delivery falls apart, the reflex is to blame the team. Missed dates, quality slips, a burned-out squad — leadership tends to reach for a personnel fix and quietly move on. The ...
AI Coding Agents Are Pulling CI Feedback Into the Inner Loop
The traditional shape of CI/CD assumed humans worked in the inner loop and pipelines policed the outer one. AI coding agents are tearing that geometry apart. When code can be generated in ...
AI Is Accelerating How Fast We Build the Wrong Thing
AI coding assistants have made it trivially easy to ship software faster — and that is precisely the problem. Human developers used to absorb the gaps in a vague spec by asking ...
CDEvents Simplifies AI-Ready Developer Platforms
Internal developer platforms have become a tangled web of orchestration tools, CI runners and deployment systems that rarely speak the same language. Every new integration adds another translation layer, and as AI-driven ...
Why the Trust Layer Is the Next Thing Developers Will Commodify
Engineering roadmaps inside enterprises that never planned to build AI products are now being eaten by AI work. Teams at hospitals, banks and government agencies are spending huge chunks of their sprint ...
