Professor Ras Mic

The way we are to design our PRDs, to-do lists, and plans is such that we want the agent, the model, to build out all these features, right?

Because all these features put together is our product.

You see, a lot of times people will describe a product, not describe features, and will be frustrated with AI.

Like AI is supposed to magically know what you're thinking about.

By the way, Greg, am I making sense so far?

100%.

I'm with you.

Yeah.

So we really need to think in features.

But here's the cool part.

When developing features, oftentimes the issue with models is like you'll develop a feature or like let's say the model develops a feature.

We don't know if it works.

We don't know if it did it the right way.

That's where with all the cool Ralph stuff that's happening, we can introduce tests.

Right.

So let's say the model, the agent builds feature one.

Before moving on to feature two, what I'm going to do is I'm going to get the model to write a test.

If that test passes, then we'll work on the second feature.

If that test passes, we work on the third feature, right?

So we're finally entering an era where you can really build something serious with these models.