Noam Lovinsky

Oh, that's not the right one.

Let's iterate and try this other one.

How much of that you can shrink, how many of those you can do in parallel?

Who can do that kind of full, full pipeline of that exploration?

How many different people you need to do that?

And so basically it just it increases the rate of learning like quite dramatically, which then kind of, you know, shrinks the whole kind of product development lifecycle.

And I think if the business is fundamentally learning much more quickly than, you know, the whole thing has like a massive acceleration, right?

There's also, obviously, I think when we think about this, we quickly go to, I used to type all these things with my hands.

And now this thing just types them for me.

Yes, there's that sort of speed up as well, obviously.

And that saves you quite a bit of time.

But then again, I feel like you just end up doing more also of other things.

You're reviewing code more.

And then we need to make that process more scalable.

You're then just kind of doing more things.

and in parallel.

And so anyways, I think that the shrinking of the exploration and the rate of learning is, at least right now for us, one of the biggest accelerators.

You know, it's interesting.

I just don't think that that's how things work fundamentally.

I think what happens is engineers just get to spend more time on other parts of the product development process.