Grant Harvey

I, yeah, conceptually, I know what it is.

And I've also, you know, in other CLI tools I've used, like, there's like a plan node where basically you come up with the whole spec and everything.

By the way, if you've successfully completed this, you should ship it.

We'll, we'll use it.

Yeah.

It's using the policy document and it's doing all of this without asking you for permission, right?

Because it knows what it can and can't do without permission.

And as far as the policy checks go, is that something that you built into the harness itself?

Like it's like a hard check or is that something that the LLM is like having to remember and recall to do itself?

Great question.

A hard check.

What's the phrase we heard recently, Corey?

Toddlers with machine guns.

That's LLMs.

That's so awesome.

As far as my personal experience, I have found that Gemini has the longest context window where it can stay lucid or coherent.

I don't know what the right word is, but it can pay attention to details for the longest amount of any of the other AI models that I've tested.

So what's the limit for how big your plan file could get or how big your code base could get here?

Is it a million tokens?

Is it two million?