Bryan McAnulty

I think it's more about how do I change the way that my team thinks of how they work with AI.

Because everybody is now able to become kind of more of an operator of controlling these AI agents and directing them in a certain way.

And...

Yeah, so I guess real quick of where we're at now, but I guess to be more concrete on what the models can do now is I've been seeing my own usage in writing code.

I remember at the end of last year, I was using 500 million tokens per month in these coding agents.

And at that time, people were like, wow, that's kind of impressive.

And I remember some people were surprised by that.

And beginning this year, it was like a billion tokens per month.

And then I remember hitting like the next month was 2 billion.

Now it's like over 3 billion.

And the amount that I'm able to use just keeps going up because the model is so good.

But the work that I'm putting in is not necessarily more.

And so we're suddenly seeing this like massive output that

I'm trying to talk with other developers because I don't even know what the baseline is anymore of what is a high amount of code changed in production per month or something like this.

Yeah, I completely agree.

I think you have to try out things with these models.

And I think the biggest problem that I'm seeing right now is that people are just not thinking big enough.

And like, I realized it's a thing for myself.

I have to constantly challenge myself of like, well, how could I just think bigger on this and do something that before it would have been like, well, this is like a year long effort or this is like a year long effort with a team.

And now it's like, okay, well, let me try this over the weekend quick with the AI.