Building an AI Engineering Operating System, not another AI coding tool.

Hi everyone 👋

I'm an indie builder from Indonesia, and over the last few months I've been working on a project called NAEOS (Nusantara AI Engineering Operating System).

After experimenting with tools like Cursor, Claude Code, GitHub Copilot, Gemini CLI, and Codex, I noticed the same pattern:

AI can generate code incredibly fast.

But every new project still requires rebuilding the engineering foundation:

• Project structure

• Architecture decisions

• Coding standards

• Documentation

• Security rules

• Testing strategy

• AI prompts

• Team conventions

The AI is powerful.

The engineering context is often missing.

So instead of building another AI coding assistant, I'm trying to build something different:

An open AI Engineering Operating System that provides the standards, workflows, governance, and knowledge layer for AI coding agents.

The long-term vision is to make AI agents work more like experienced software engineers rather than autocomplete tools.

I'm building everything in public:

• Documentation first

• Open architecture

• Modular design

• AI-native workflows

• Vendor-neutral approach

This is still an early-stage project, and I'm looking for honest feedback.

Some questions I'd love to hear your thoughts on:

• Do you think AI development needs an "operating system" layer?

• What's the biggest engineering problem you've faced while using AI coding tools?

• Would an open standard for AI software engineering be valuable?

I'd really appreciate your feedback, criticism, or ideas.

Thanks for reading!