Finally, I've fixed my AI workflow

I think most developers are approaching AI coding the wrong way

I used to think AI coding quality was mostly about the model.

Better model = better code.

After building my repo, I don’t think that anymore.

I realized AI usually writes bad code for the same reason humans do:

• Huge files


• Mixed responsibilities


• Hidden business rules


• No architectural boundaries


• Too much implicit context

So instead of focusing on prompts, I focused on the repository itself.

The real question became:

“What if the codebase was designed for AI readability and reasoning?”

That completely changed the results.

The AI stopped generating random boilerplate and started producing code that actually felt:

• Scalable


• Predictable


• Maintainable

I noticed:

• Shorter prompts


• Better architectural decisions


• Cleaner abstractions


• Less “fighting the AI”

And honestly...

This repository changed how I see software architecture.

I think one of the most valuable engineering skills in the next few years won’t just be writing code —

It’ll be designing systems that humans and AI can reason about together.

Repo:

Claude IronDev