Operations | Monitoring | ITSM | DevOps | Cloud

AI wrote the code, but when something breaks, that's still on you. Code ownership matters more than ever.

Learn how to connect OpenAI Codex to CircleCI so your coding agent can check pipelines, diagnose failed builds, fix bugs, and iterate until your CI pipeline is green. In this step-by-step demo, we walk through how to install and authenticate the CircleCI CLI, install the CircleCI plugin for Codex, validate your CircleCI configuration, and give Codex direct access to CI feedback. You’ll see how Codex can.

Waiting minutes for CI feedback while you're building with AI agents kills your momentum. Chunk sidecars snapshots let you freeze your environment after setup, so every boot skips the install and starts from a cached state instead of scratch. In this tutorial, we demo how to set up Chunk sidecars, snapshot it, and boot from that snapshot. We also benchmark the difference: a cold sidecar start took 45 seconds. Booting from the snapshot took 12 seconds. That's 30+ seconds saved on every run, multiplied across every developer, branch, agent, and session.

Claude Code + CircleCI MCP = no more hunting through build logs.

When AI writes the code and something breaks, nobody knows what it was supposed to do.

AI agents write code fast, but without a validation layer, fast just means faster bugs. In this video, we connect Claude Code to the CircleCI MCP server so Claude can trigger pipelines, pull build failures into context, and iterate until everything is green. No context switching. No copy-pasting logs.

Technical proposals can be like campfire stories. You start at the beginning, walk through every discovery & technical detail, and eventually arrive at the point. The problem? By then, you've lost the audience.