CircleCI Shifts AI Coding Feedback Into the Inner Loop
Techstrong TV Interviews
•
28m
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.
Up Next in Techstrong TV Interviews
-
AI Deepfakes Escalate Investment Scam...
Mike Vizard talks with Courtney Werning, Principal at Meyer Wilson Werning, about how AI is making online scams more convincing, scalable and difficult for victims to recognize. Werning explains how deepfakes, polished messaging and fake investment platforms are fueling pig butchering schemes, cr...
-
Backup Restores Data. Cyber Resilienc...
Traditional backup gets you data back. Cyber resiliency gets you trust back — and in 2026, that's the only outcome that matters. James Blake, VP of Global Cyber Resiliency Strategy & Consulting Services at Cohesity, joins Alan Shimel on TechStrong TV to draw a hard line between BCDR and cyber res...
-
BasedAI Challenges Enterprise AI Theater
Mike Vizard talks with Teana Baker-Taylor, CEO of BasedAI, about why many enterprise AI projects remain stuck in costly experiments rather than delivering measurable business outcomes. Baker-Taylor explains how token shock, frontier model costs, data privacy, context engineering, agent permission...