Kevin Roose

It can do tasks.

It can perform things that humans would have had to do by hand.

So it is sort of a step in the direction of making these things actually kind of members of the workforce in some sense, where you could have a company with some human employees and then a whole bunch of AI agents doing tasks.

Yeah, so that's the big question is, will this just help people at work?

Will this kind of agentic coding tool make people faster and more efficient and more productive and give them a new powerful tool in their toolkit?

Or will it start to replace people?

We are starting to see in the data some signs that this kind of tool is maybe displacing young software developers.

So there was a study from Stanford recently that looked at payroll records and found that employment for young software engineers was

just people who are early in their careers, has dropped about 20% from its peak in 2022.

So companies that used to hire five or 10 people to write code for them may only need one or two now with a bunch of AI tools.

Well, coding is an interesting test ground for this because in some sense it is very verifiable.

The code either runs or it doesn't.

And so in some sense it's very easy to tell.

I mean, the website we built you, it works.

You can go visit it on the web.

It has a playable video game inside of it.

So yes, there are a lot of software engineers who are still saying these coding agents, they're not perfect.

You still kind of need to hold their hands and oversee them if you want to get really useful code that you could like deploy inside of a big business.

But that is maybe temporary because they're improving at a very rapid rate.

And we're seeing that some of the things that these tools couldn't do even a few months ago, it's now doing in ways that are correct and useful.