Eno Reyes

Like a lot of people name their AI tools with a human name.

And we said, look, these aren't humans.

They're a different type of tool that humans can use.

When we started Factory, my co-founder was doing his PhD at Berkeley.

And I was at a company called Hugging Face that worked on LLMs and open source tooling for the related... And actually, when I was there, it was pre-LLM.

So there were BERT transformer models and tons of different variants of that, diffusion models, all this other stuff.

And one thing that was pretty consistent was for the...

organizations that wanted code models.

All of them were looking to fine tune a model for their code base and maybe get autocomplete.

When we talked around to a bunch of companies, we saw that everyone was very fixated on coding.

which obviously is extremely important.

But the biggest bottleneck oftentimes in most software organizations is not can you write the lines of code to solve the problem, but it is the entire end-to-end process and the bottlenecks and the blockers that occur along the way, right?

Gathering context, understanding decisions, planning changes,

stitching all this together.

And once you get the code, you know, that's almost like the easiest part of the process.

So we wanted to make sure that AI systems that we built for software development could help people with that entire end to end process, which required us to basically do research on agentic systems that didn't exist at that point in time, and figure out what can we do to make them general and very capable across these different tasks.

Yeah.

I mean, it's kind of funny and there's actually a quick answer.

It basically has been autonomous the entire way.

I think this might be one of the bigger differentiators between us and a lot of the other players in the space.