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Autopilot made flying safer, not because the autopilot is perfect, but because of the instruments, checklists, and feedback around it. AI coding agents like Claude Code, Codex, and Cursor are no different. Too many teams are betting on better models and longer prompts, when what agents actually need is the boring stuff DevOps has preached for years: fast feedback, deterministic checks, and tight controls.

An AI coding tool reportedly deleted and recreated an AWS environment. Another wiped a production database during a code freeze. Skipping the checks in "YOLO mode" is fast, right up until it isn't. This talk is about the alternative: doubling down on DevOps in the age of AI, so teams can move faster with agents inside locked-down enterprise environments, without betting production on a prompt. When developers with AI commit faster than ever, the pipeline becomes the bottleneck. We'll look at how to unblock them with fast CI/CD in GitHub Actions and on-demand cloud environments. Then we'll get practical: how to 10x your delivery with modern AI tooling, including Claude Code, voice-driven development, remote access, and running agents in parallel.

You'll leave with:
- Real takeaways for going fast and safe with AI agents, from GitHub Actions pipelines to cloud environments
- How to 10x your DevOps workflow with Claude Code, voice, and remote access

Come at 5:30 pm have some pizza and chat for a bit. The presentation starts at 6:00 pm.

Related topics

Events in Toronto, ON
Artificial Intelligence
Microsoft Azure
Data Center and Operations Automation
DevOps
Github

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