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Better Offline

AI Isn't Making Engineers 10x As Productive with Colton Voege

Better Offline

Cool Zone Media and iHeartPodcasts

Technology

4.6687 Ratings

🗓️ 19 September 2025

⏱️ 38 minutes

🧾️ Download transcript

Summary

In this episode, Ed Zitron is joined by software engineer Colt Voege to talk about how AI isn’t 10xing the productivity of software engineering, the truth about coding LLMs, and what we can actually expect AI to do for software in the future.

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Transcript

Click on a timestamp to play from that location

0:00.0

This is an I-Heart podcast.

0:02.6

Guaranteed human.

0:06.7

Hello and welcome to Better Offline.

0:11.5

I'm your host, Ed Zittron, as ever buy our merchandise.

0:14.1

Subscribe to the newsletter.

0:15.1

It's all in the episode notes.

0:17.0

It's all in the episode notes. And today I'm joined by programmer Colton Voguey, who wrote an excellent piece about a month ago called

0:34.1

No, AI is not making engineers 10x as powerful.

0:39.0

Cole, thanks for joining me.

0:40.0

Thank you for having me.

0:43.0

So tell me a little bit about your day-to-day work.

0:44.4

What do you do for a living?

0:50.7

Yeah, so I'm a software engineer, and I work specifically in what's called web application development.

0:51.6

So that's kind of like building rich applications that work in the web browser.

0:56.0

So think of something like Amazon or Google Drive or something where you can do a lot of interactive features within the application within a browser.

1:05.0

Right. So kind of like the fundamental of most cloud software.

1:09.0

Yeah, I would say that if not the majority of engineers work

1:13.4

in web application development, then probably the plurality do right now. And it's also a large

1:19.4

amount of how people interact with software is now in this way, though. Yeah, exactly. Yeah,

1:24.2

and that's why most developers perhaps work in this field now.

1:29.4

And you'd think something like that would be perfect for AI coding environment, surely.

1:35.2

It is definitely the most applicable place for AI coding of all of them. There's sort of a thing

...

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