Is AI-generated software becoming harder to govern?

AI coding agents are getting incredibly good at building software.

But we're starting to notice a different problem: building software is becoming easier and faster than managing what gets built.

With agents creating services, scripts, deployments, dependencies, and infrastructure, we're wondering:

• What happens when a team goes from managing 20 human-built services to hundreds of AI-generated ones?

• Who knows what is running?

• Who owns it?

• What changed?

• What permissions does it have?

• Is it still safe?

• And when something is no longer needed, who retires it?

That's the problem we're exploring with Nixora, a control plane for AI-generated software.

We're currently in closed beta. We've had 65 CLI installs and 45 real production deployments, with all five Phase 1 capabilities live: hosting, auth, HTTPS, shareable URLs, and CLI-based deployment. We've also had 47 people join our early-access waitlist.

But we're still early, and we'd rather learn from builders than assume we know the answer.

If you're using AI coding agents today, what's the biggest problem you've encountered after the code is generated?

Would love to hear what you're seeing.