Why did we build NAEOS?

AI coding agents are getting incredibly good at writing code.

But while building with them, we kept seeing the same problem:

The agent knows how to code, but doesn't always know how the system should be engineered.

Architecture decisions, security rules, testing standards, project conventions, and engineering context are often scattered across repositories, docs, and people's heads.

We thought there should be a better way.

So we started building NAEOS.

An Engineering Operating System for AI coding agents.

I'd love to hear from other builders:

👉 What's the biggest problem you've experienced when using AI coding agents in a real project?