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We spent years optimizing cloud infrastructure, right-sizing VMs, tuning pipelines, and fighting surprise cloud bills. Now a new cost center has entered the chat: AI. Every prompt, every agent interaction, every repository scan, and every generated line of code consumes tokens—and those tokens add up quickly.

AI coding assistants and agents like GitHub Copilot, Claude Code, and OpenAI Codex are transforming how teams build software. But scaling AI adoption without understanding consumption patterns is a bit like giving everyone an unlimited cloud subscription and hoping for the best. (We all know how that story ends.)

In this session, we'll explore AI FinOps practices for enterprise engineering teams: how to measure AI consumption, optimize token usage, improve agent workflows, manage context efficiently, choose the right models, and get more value from every AI interaction.

Through practical examples with GitHub Copilot and modern AI coding agents, we'll apply familiar DevOps principles—visibility, optimization, governance, and continuous improvement—to the next generation of software delivery.

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

Sponsors

Centrilogic

Centrilogic

Meeting room, pizza, and most importantly continuous support.

automagically

automagically

Helping with administration, speaker support, covering expenses & more.

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