When a software-factory workflow produces shipped software that later causes a server crash, the workflow should be retrospectively diagnosed—most likely with an agent—to identify how it could have been improved.

“So that's the mindset. So you need the data to do that. You need the agent conversations, and you need the agent artifacts. You need a record of all of the interactions from all of the tools to get to a result.”

“And so what I mean by that is like you might have a, a factory conversation that starts in Slack and then continues into Linear and then continues into GitHub, and there's a code review comment, and that whole interaction is gonna result in some piece of m-merged code.”

“In fact, it might even result in something that gets shipped and then has a server crash. And you want the ability to like retroactively go back with an agent most likely, but you could do it as a person and, and diagnose how could that have been better?”