Continuous Integration at Agentic Velocity with CircleCI’s Rob Zuber
About this episode
Rob Zuber discusses the evolution of Continuous Integration in the context of AI-assisted development and its impact on software delivery.
When code gets cheaper to produce, feedback becomes the limiting factor - CI, reviews, and the handoffs between tools can quietly slow everything down. Rob Zuber breaks down what platform engineers are seeing as teams adopt AI-assisted development: more branch builds, new failure modes, and growing pressure to shorten the loop between “change made” and “change validated.” He focuses on how CI can evolve from a human-first dashboard into a system that agents can interact with directly through APIs, CLIs, and MCP-style interfaces - so fixes can happen faster and with less waiting on manual triage. Along the way, Rob and Cory dig into practical questions engineering leaders are wrestling with: how PR review becomes the next major bottleneck, what “agent experience” means in a delivery pipeline, why speed isn’t only about faster compute (it’s also about doing less unnecessary work), and how teams can share learnings so “agentic velocity” doesn’t only benefit a few power users. If you’re building or running the systems that ship software, this is a clear look at where CI fits in an AI-accelerated workflow, and what needs to change to keep delivery safe, fast, and sustainable. Guest…
More episodes of Platform Engineering Podcast
- Durable Execution for Real‑World Failures with Temporal’s Cornelia Davis
- You Need AI Sysadmins Can Trust, With Cribl's Nikhil Mungel
Explore listener stats, chart rankings, contacts and more on the Platform Engineering Podcast podcast page.