OpenNashPodcasts

Topic

GitHub Copilot

31 facts from 19 episodes, in date order. These are what speakers said on the shows, each linked to the moment it was said. They aren't independently verified.

2023

The first productivity results on these tools came from two controlled experiments, one on business writing and one on coding.

“one is a controlled experiment that was done with people writing business writing, the other was a controlled experiment with coding”

Ethan Mollick · Why You (and Your Company) Need to Experiment with ChatGPT Now, 0:03:40

2024

Josh Albrecht praises GitHub Copilot for keeping its suggestions short, which makes them easy to review.

“One thing that I really like about Copilot, uh, just as an example, is that it keeps it short, right? So it's easy to review.”

Josh Albrecht · Full-stack approach for effective AI agents, 0:35:17

2025

Sharma cites assigning a pull request to GitHub Copilot and creating an agentic sales development rep as examples of embodied agents already in use.

“You can assign a pull request to Copilot, you can, uh, create a software development rep that's agentic that can kind of do some of the lead generation and mining for you.”

Asha Sharma · How 80,000 companies build with AI: products as organisms, the death of org charts, and why agents will outnumber employees by 2026 | Asha Sharma (CVP of AI Platform at Microsoft), 0:21:38

Undated

Nadella said his confidence in this generation of AI began when he saw GPT-3 progress to GPT-3.5 and its use in GitHub Copilot.

“my entire confidence in this generation of A I started when I started seeing from G P T three to 3.5 and that implementation in GitHub.”

Satya Nadella · Microsoft Chairman & CEO: AI, chip shortage, empathy, and poetry, 0:08:23

Undated

Varun Mohan says GitHub Copilot published a post claiming it did not output security vulnerabilities, which Codeium says it could reproduce.

“one of our competitors, obviously the biggest one, Copilot, came out with a post where they were like, Hey, we don't output security vulnerabilities.”

Varun Mohan · The Future of AI in Coding with Codeium CEO Varun Mohan, 0:34:22

Undated

Mario Rodriguez says GitHub has statistics showing a 55% improvement in productivity with GitHub Copilot.

“And, you know, we have stats like 55% improvement in productivity, and this one I'm really proud of.”

Mario Rodriguez · Collective Learning With Generative AI, 0:10:42

Undated

Mario Rodriguez says GitHub Copilot grew out of a research memo written after GitHub started experimenting with new large language models from OpenAI.

“And we had just started to play with some of the models, some of these new LLM models coming from OpenAI.”

Mario Rodriguez · Collective Learning With Generative AI, 0:10:00

Undated

Aaron Levie says coding assistants like Copilot and Cursor took off because they add productivity to an existing workflow without requiring users to change behavior.

“I would say this largely explains the breakthrough in copilot or cursor I is because I get to do exactly the same thing I'm doing now, but I'm seeing incremental productivity gains right away without changing really any behavior.”

Aaron Levie · Aaron Levie, CEO of Box, on Box AI, Enterprise Enthusiasm, and the Evolution of SaaS, 0:38:09

Undated

Aaron Levie says GitHub Copilot launched about a year or two before ChatGPT, giving developers their breakthrough AI moment 12 to 18 months earlier than consumers.

“GitHub Copilot was introduced about a year or two before ChatGPT, so developers actually had their ChatGPT moment at at least twelve to eighteen months months before everybody had their ChatGPT moment on the consumer side.”

Aaron Levie · The enterprise AI revolution is underway, with Box’s Aaron Levie, 0:07:07

Undated

Dohmke says the original GitHub Copilot ran inference on a large language model at every keystroke, which he called unheard of at the time.

“because on every single keystroke, we're running inference against a large language model”

Thomas Dohmke · GitHub's CEO says AI coding is ‘here to stay’, 0:44:08

Undated

Dohmke says the original GitHub Copilot came from a partnership in which OpenAI supplied GPT-3 and the Codex model while Microsoft supplied infrastructure.

“that's how the original Copilot came to be, uh, through a partnership between OpenAI, um, who had developed GPT three, and then the Codex model, Microsoft”

Thomas Dohmke · GitHub's CEO says AI coding is ‘here to stay’, 0:44:08

Undated

Microsoft already ran responsible AI systems at scale for GitHub Copilot before ChatGPT's release and adapted them to new risks.

“We had already had, you know, at scale, generative AI, responsible AI systems running in production, for example, for GitHub Copilot, and we had to adapt them to new risk.”

Sarah Bird · How Microsoft is democratizing safe AI, 0:28:45

Episodes