Damien Tanner

They just could not hold the state of this dynamic, crazy, multi-subject stream system in their head.

Well, context was everywhere, right?

It was here, it was there.

Yeah.

Even if you... I would do things like take the whole file.

I was like copying and pasting files into ChatGPT Pro, being like, you definitely have all the context here.

Fix this problem.

Solve the problem.

Fix it.

And part of the problem was that complexity.

I mean, not having the ability to test things in isolation then meant we couldn't have a kind of TDD loop, whether it was with a human or with an agent.

And so...

And because we couldn't use agents to add features to this platform, to the core of the platform, it was slowing us down.

And so that's when we really started to use coding agents, Cloud Code and Codex, like really properly and hard is we were like, I spent like two weeks just in Cloud Code and Codex.

And the mission was,

If I can get the coding agent to write the new version of this, it's kind of not even a refactor, it had to be rewritten.

Then it will, by virtue of it writing it, it'll understand it.

And then I'll be able to use coding agents to add features.

And I started with literally the API docs for our public API because I didn't want to change that.

And the API docs of all of the providers and models we implement with, like the speech-to-text and text-to-speech model provider endpoints.