Jairus, can you please walk us through how are those services working together?

Yeah, absolutely, Malini.

Let's start with you, okay? Mm-hmm.

Kiro has already changed how many developers build software.

And now bringing it to iOS makes that experience even more flexible, right? Think of like, look at it this way.

Developer can start a session from their phone, review proposed changes, steer AI agents, approve updates, and then continue exactly where they left off when they return to their workstation.

you know, the work doesn't have to stop because you stepped away from your laptop.

So how should we as leaders measure success?

Why is that? Could you please shed some light?

Of course.

Well, first of all, thank you for having me, Malini and Amit.

It's a pleasure to be on with you here today.

You know, We're asking a different question today than we were even a year ago.

For the last few years, we have naturally focused on GPU because that's where model training and inference happens.

But as we move into an agentic world, the challenge shifts from generating intelligence to operationalizing intelligence.

How does this, how does AWS Context make agents more useful?