GitHub, every mention

18 scenes (2024), the whole family · ← back to GitHub

mentionsepisodesper episode tap a year for its mentions

Verbatim, from the transcripts: the passages where GitHub comes up

loading…

▶ 26:08 Matt Turck Uh, GitHub Copilot, uh, increased 55% quarter over quarter.
▶ 43:57 Matt Turck Yeah, especially, uh, with open source, which we, which we love, but, like, we've, we've seen again, again, like, tools in AI just, uh, have this dramatic, uh, sort of rises in terms of, like, GitHub stars. 2 times in the scene
▶ 56:23 Matt Turck Uh, I mean, certainly all the co-pilots for, um, you know, GitHub co-pilot and, uh, developer assistant, engineering support, coding, uh, kind of, kind of things, because, you know, that's targeting one very specific use case, and it works.

▶ 39:44 Erik Bernhardsson I mean, there's, there's so many products where like, you know, like so many dev tools or you go check out some like code on GitHub and it's like, you know, you want to like, maybe this is interesting, maybe not. 2 times in the scene
▶ 44:35 Erik Bernhardsson You know, for those companies, like if you're selling to, I don't know, I mean like in extreme case with you like Bank of America, like you, you can't expect them to like, you know, sign up using GitHub and just like start writing code and…

▶ 57:25 Jordan Tigani Introduction to kind of what it takes to, to, to sort of, to see what a, a successful startup company, you know, much later stage startup company, I mean, there was, there were a hundred million in ARR, um, you know, what that, what that…

▶ 21:43 Clement Delangue So, GitHub has hundreds of millions of code repositories that are all customized for specific use cases.
▶ 34:27 Matt Turck Like, this idea of being the GitHub for machine learning or AI, you know, rewind back to whenever that was, 2014, 15, 1617, 18, that, that general period of time. 2 times in the scene
▶ 41:30 Clement Delangue Uh, data points versus kind of like their technology, uh, that is replacing, um, uh, an existing technology that both Hugging Face and GitHub is, is using, is enabling you to kind of like just add the styles and data sets, so enabling much…

▶ 12:56 Matt Turck Uh, fast forward to today, um, you have, uh, 27,000 GitHub stars, uh, you know, which is one of the, uh, key metrics,

▶ 41:31 Ali Dasdan So I, I had, I had actually given a talk on, um, using Copilot, uh, GitHub Copilot for developer, uh, experience. 2 times in the scene
▶ 43:38 Matt Turck And for, uh, GitHub Copilot, what has been the 6 times in the scene
▶ 44:36 Ali Dasdan Um, and our acceptance rate for code suggestions was, um, around 25%, actually over 25%, which is interesting in line with, with the recent research that, uh, GitHub published. 2 times in the scene

▶ 27:00 Tomasz Tunguz You'll be a software engineer, use Copilot, or any one of the others, and let's say you are, uh, reviewing, um, a pull request, it's very likely that you'll more likely use a Copilot than you will use a full agent. 3 times in the scene
▶ 30:49 Tomasz Tunguz Copilot assisted engineering.

▶ 16:15 Florian Douetteau And so I sympathize with, like, everyone that actually needs and have some domain expertise, but won't get into code anytime soon, even with Copilot or whatsoever, and that still need to leverage their data in order to get things done.

▶ 0:25 unnamed speaker With over 33,000 stars on GitHub, a really impressive
▶ 22:24 Zach Nussbaum Um, and I think this is something that's near and dear to my heart as I spent the last, you know, few months kind of pain, painfully going through all the data, curating it, um, uh, and, and, you know, uh, searching for needles in a…

Turn any episode into a week of clips.