CircleCI Shifts AI Coding Feedback Into the Inner Loop

Mike Vizard talks with Rob Zuber, CTO of CircleCI, about how AI coding agents are reshaping the relationship between inner loop development and CI/CD pipelines. Zuber explains why faster code generation is pushing validation, testing, review, standards checks and CI-quality feedback closer to the developer and agent workflow before changes reach traditional pull requests. The conversation also covers agentic review, deterministic guardrails, pipeline bottlenecks, token consumption, observability, feature flags, DORA metrics and why AI-amplified software delivery requires tighter feedback loops and stronger engineering controls.