# A Survey Assessing Github Copilot

Page: https://stenobird.com/podcast/data-skeptic/a-survey-assessing-github-copilot
Text version: https://stenobird.com/podcast/data-skeptic/a-survey-assessing-github-copilot.md
Podcast: [Data Skeptic](https://stenobird.com/podcast/data-skeptic)
Published: 2023-11-20T19:11:00+00:00
Episode link: https://dataskeptic.com/blog/episodes/2023/a-survey-assessing-github-copilot
Audio file: https://pscrb.fm/rss/p/mgln.ai/e/35/traffic.libsyn.com/secure/dataskeptic/a-survey-assessing-github-copilot.mp3?dest-id=201630
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JSON: https://stenobird.com/v1/public/podcasts/data-skeptic/episodes/a-survey-assessing-github-copilot
Duration seconds: 1585

## Resource

In this episode, we are joined by Jenny Liang, a PhD student at Carnegie Mellon University, where she studies the usability of code generation tools. She discusses her recent survey on the usability of AI programming assistants. Jenny discussed the method she used to gather people to complete her survey. She also shared some questions in her survey alongside vital takeaways. She shared the major reasons for developers not wanting to us code-generation tools. She stressed that the code-generation tools might access the software developers' in-house code, which is intellectual property. Learn more about Jenny Liang via https://jennyliang.me/

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## Transcript

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