It kind of sucks to go and write this prompt and then wait 10 minutes.

What you really want when you hire someone is to kind of tell them what the job is,

give them the credentials, all the tools, and just have them pick up work automatically.

The goal is to get to an agent that is basically a teammate and it's seeing what's going on

on your team and picking stuff up for you.

This form factor of an agent working on its own computer in the cloud is the future

and is incredibly powerful

and worth figuring out how to get right. What happens when AI stops helping you auto-complete

code and starts acting like a real teammate? Today, we're exploring Codex, OpenAI's coding agent.

Anjaday Midha is joined in studio by Alexander and Birak hosts, who leads product for codecs

at OpenAI.

They discuss the origin story, why reasoning models plus tools unlock agents, how developers

are actually using codecs in the wild, and what all this means for the future of software

engineering, from debugging and prototyping to how CS students should think about their careers.

Let's get into it.

Hey, Alex.

Hey, how's going?

Good. Thanks for coming.

Yeah, good see you again.

You are one of the folks working on product for Codex, which is probably one of the most exciting launches

to come out of the Open AI team,

for me, at least in a while.

...