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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.

RalphCI: The Self-Healing AI Coding Loop That Automatically Fixes CI Failures

RalphCI is an open-source, CI-enabled agentic coding loop built by the Loop Lab at CircleCI. You write a spec, and the agent breaks it down into tasks, builds your application step by step, commits to GitHub, and runs your full CI pipeline on every iteration. If anything fails—linting, tests, security scans, missing files—a CI Doctor sub-agent detects the failure, reads the stack trace, and fixes it automatically. In this video, Ryan Hamilton demos RalphCI by building a classic Snake game end-to-end with zero manual coding.