GitHub Copilot Coding Agent with GPU acceleration, massive amounts of storage and memory, and reusing work from previous sessions sounds good to you? How about getting hundreds if not thousands of dollars worth of power out of your affordable GitHub Subscription. Then you found the right talk.

There is no escape, Coding Agents are everywhere, and GitHub Copilot Coding Agent stands out in many ways. The cloud-based GitHub offering has its quirks and secrets and understanding those can make the difference between getting "so so results" or unlocking superpowers.

I have been working on pushing the limits of GitHub Copilot Coding Agent since before it came out in public preview.

Starting with how this agent differs from it's peers within the GitHub universe and many competitor's offer, we go quickly into putting it's meat on the grill
As we cover how to set GitHub Copilot Coding Agent with it's many quirks you can control starting with the minimal configuration to then quickly go into how to deploy a team of specialist agents at your disposal and how you can give them the tool for success.

Then we move on to the environment this coding agent "lives in" when it executes, the GitHub Copilot Coding Agent action runner and how to modify it effectively.

Understanding that this is a cloud-first environment we look at the restrictions is has per default - as in running out of memory, little processing power, and limits how long your agent tasks can run. And - what it can cost you if you want to push the limits beyond the standard settings as you pay for GitHub action runners.

Finally we go "007"-mode and aim to beat GitHub at it's own game: You can massively stretch your budget by letting GitHub Copilot Coding Agent run on your own hardware.

This means: GPU access, access to massive amounts of memory, being able to access cached information from previous sessions, and using generous compute without paying extra.

And of course I will share a few ways I have been "abusing" this agent offering.

Rapidly developing talk as GH is working on its billing models.