I had one of those small moments that sticks in your head.
I found a bug in OpenClaw. Then I asked OpenClaw to investigate it. Then I used it to help produce the fix and PR. The PR got merged by Peter, and I am fairly sure an agent helped on that side too.
No fireworks. No giant benchmark. Just a bug, an investigation, a fix, and a merge.
But the loop felt different.
Normally, software is passive. It can fail, log, crash, or maybe show an error message. Then a human has to collect context, search the codebase, form a theory, patch the thing, and shepherd the fix through review.
With an agent in the loop, the software stack starts to participate in its own repair. Not autonomously in the scary sense. More like a competent junior developer who can read logs, inspect files, run tests, and keep track of what changed.
The human still matters. A lot. The human decides what is actually wrong, what risk is acceptable, and whether the fix is good enough. But the agent lowers the cost of getting from “something is off” to “here is a concrete patch with evidence”.
That is the part I care about.
Self-healing software is usually discussed as if systems will magically repair themselves in production. I do not buy that as a default. Too many risks, too much context, too many ways to make things worse.
But software that helps correct itself with a human in the loop? That feels real. And useful.