Operations | Monitoring | ITSM | DevOps | Cloud

Same team, but building more ft. Chris Kelly of Augment Code

Most teams obsessing over token costs are measuring the wrong thing. The real savings from AI aren't in lines of code written faster. They're in the coordination overhead that disappears when fewer humans need to align before anything gets built. Chris Kelly, Head of Product at Augment Code, joins Rob to cover why prototypes have replaced specs, how agents enable dynamic team capacity the way cloud replaced over-provisioned servers, and what "good code" even means when your primary reader is an LLM. In this episode.

How to Improve Your Documentation with AI (CircleCI Chunk Tutorial)

AI coding assistants help you ship features fast, but documentation almost never keeps up. In this Ship Smarter session, we'll show you how CircleCI's Chunk autonomous CI/CD agent automatically analyzes your codebase, identifies documentation gaps, and opens a pull request with improvements. No manual writing required. In this video.

How Engineers Get Leadership Buy-In for Technical Initiatives

Getting leadership to greenlight your technical work isn't about having the right answer, it's about speaking the right language. CircleCI CTO Rob Zuber shares the frameworks he's developed over 12 years for translating engineering priorities into business impact, navigating organizational dynamics, and building the relationships that make buy-in happen before you ever enter the room.

Auto-Generate Tests for Your Codebase with AI (CircleCI Chunk Tutorial)

AI coding tools help you ship features faster than ever, but test coverage often can't keep up. In this video, we show you how CircleCI's Chunk autonomous CI/CD agent finds untested code in your codebase, writes tests to cover it, and opens a pull request for your review. What you'll learn: Chunk works directly inside your CI/CD pipeline, giving it access to your build history, test results, and coverage reports. That means smarter tests, not just more tests.