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GitHub’s Agent Era: 14x Commits, 200M Developers, Copilot’s Next Act — Kyle Daigle Jun 2, 2026 · 64 mentions

• ▶ 2:59 Kyle Daigle I mean, I joined GitHub as a developer, you know? 6 times in the scene
• ▶ 6:17 Kyle Daigle And so everyone uses like ChatGPT or Copilot or Claude or whatever. 2 times in the scene
• ▶ 8:02 Kyle Daigle And of course it all ends up on, it all ends up on GitHub. 2 times in the scene
• ▶ 9:12 Kyle Daigle So that's for us, that's usually GitHub, um, teams, email and Slack. 4 times in the scene
• ▶ 10:47 Kyle Daigle So most of that is looking back and then we post, uh, we post either auto automatically into like, uh, GitHub issues or discussions, um, these sorts of like findings or like our industry reports, like what's happening this morning, today,…
• ▶ 10:47 Kyle Daigle So most of that is looking back and then we post, uh, we post either auto automatically into like, uh, GitHub issues or discussions, um, these sorts of like findings or like our industry reports, like what's happening this morning, today,…
• ▶ 11:07 Kyle Daigle We might use GitHub actions like with, uh, our agentic workflows just to go do that run.
• ▶ 11:21 Kyle Daigle Um, and then of course, for a lot of those folks, it's also, you know, building an app, pushing it to get a pages or pushing it somewhere to host it, uh, et cetera.
• ▶ 23:33 Kyle Daigle Yeah, no, I mean, like, uh, the, I think one, uh, one highlight was, uh, right before the acquisition closed in 2018, I got to launch the first version of Actions, uh, GitHub Universe. 4 times in the scene
• ▶ 23:33 Kyle Daigle Yeah, no, I mean, like, uh, the, I think one, uh, one highlight was, uh, right before the acquisition closed in 2018, I got to launch the first version of Actions, uh, GitHub Universe.
• ▶ 24:52 Kyle Daigle And so like back then it says GitHub services. 3 times in the scene
• ▶ 25:25 Kyle Daigle Uh, that's, like, an example as long as the very old version of Pages, which ran on its own containerization infrastructure and not on Actions. 2 times in the scene
• ▶ 28:25 Kyle Daigle Underlying uses of NPM than there were, you know, back when we, uh, uh, we had them join, uh, join in with GitHub, but that was ultimately the goal. 5 times in the scene
• ▶ 28:34 Kyle Daigle It was really like, okay, we used to have pages.
• ▶ 32:08 Kyle Daigle That's like what, you know, advanced security does to some degree.
• ▶ 32:26 Kyle Daigle Uh, and I think that's always been GitHub's, uh, 2 times in the scene
• ▶ 40:01 Kyle Daigle Like, uh, some degree of, like, hard trust and support, which would, like, for me is, like, sponsors is a good example of that. 2 times in the scene
• ▶ 41:10 Kyle Daigle Potentially, like honestly, like in an agentic workflow, like that's what we see some of these open source projects do where you have, you know, get up actions and then you have like an agentic workflow that's calling AI and you're setting…
• ▶ 46:37 Kyle Daigle I like, uh, uh, that's partially why I think as we've tried to move into like, um, I don't know, more like low Cody things, you know, like we, so we, you know, started working on spark as like a way to like build an app and run it. 2 times in the scene
• ▶ 49:02 Kyle Daigle Oh, at GitHub? 6 times in the scene
• ▶ 49:25 Kyle Daigle oh my goodness, like, I was at Universe in October saying, this is the fastest year of growth that we've ever had, right?
• ▶ 52:42 Kyle Daigle Some of the growth issues, uh, which is why we're, I was talking about, uh, you know, pushing hard on more CPUs is in actions in particular, uh, more tools, more agents, more PRs mean more builds, more builds in more CPUs.
• ▶ 56:51 Kyle Daigle So there's, it's a, it's a lot of things, not quite like, uh, when I've experienced scale at GitHub historically, it's almost always two options that we've used. 4 times in the scene
• ▶ 1:00:44 Kyle Daigle I think the other piece of it is, um, uh, our, our move to get additional compute will alleviate a fair amount of this, particularly on the action side, because a lot of the underlying, um, outages is actually 7 times in the scene
• ▶ 1:21:03 Kyle Daigle These little, like, uh, uh, oversimplifying it context engines are wild good, and, like, we've given them to our, uh, developers at GitHub. 3 times in the scene