Robert Ta explains self-healing code as a system that continuously monitors and fixes itself to hit a quality bar tied to real business outcomes: user retention, engagement, revenue. It's like having a 24/7 engineer triaging bugs and deploying fixes to keep software profitable.
Everybody's talking about how can we get our agents to be closed loop? And the self-healing version of that is the, is your coding agent is closed loop to a code base. So it's, it's kind of like aspirational, like this is what we want all of our agents to be when they grow up someday.
Yeah, totally. And when we say self-healing, the way that I'm understanding it, I wanna hear from you, is that there is some target outcome of a quality bar for the code base that meets the real world in terms of economic value, AKA do users come back, use it more, are they retained, do they engage with it more, do they pay more and ultimately keep using it, refer other people. Those are some of what I mean by business outcomes or economic value. And then there's tied to that, obviously, if your quality is really bad, you're going to have lower economic value out of your codebase. If a codebase is a software asset that your company sells, then you got to make sure the quality bar is high. In my head, I'm like, just think of this as a staff engineer running at 24/7. So what would they do? Bug comes in, they triage, and hopefully they get a fix out fast, right, to maintain the quality bar. So self-healing to me kind of means that, making sure the business is still making money, making more money, tied to the health of the codebase.
