
Sign up to save your podcasts
Or


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/
By Kyle Polich4.4
475475 ratings
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/

32,087 Listeners

30,693 Listeners

288 Listeners

1,097 Listeners

623 Listeners

583 Listeners

299 Listeners

345 Listeners

209 Listeners

201 Listeners

318 Listeners

98 Listeners

577 Listeners

100 Listeners

228 Listeners