Introduction

In earlier experiments, we explored a simple but powerful idea:

An agent can generate code, run it, observe failures, and iteratively fix itself.

That approach worked well for single-file applications across Python, Go, and TypeScript.

But real systems are not single files.

They are:

structured\

layered\

multi-module\

opinionated

This raises a deeper question:

Can agents generate complete repositories — — not just code?

In this article, we push agentic coding one step further:

👉 generating a Clean Architecture notes application

👉 as a multi-file Python project

👉 verified with unit tests (pytest)

The Shift: From Code to Systems

system = structure + boundaries + contracts + code

Target Architecture

project_agent_coded_python_clean_arch/ domain/ models.py0 application/ services.py infrastructure/ db.py api/ main.py tests/ test_notes.py

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The Agent Evolution

generate → run → validate → test → fix

Running the Agent

python…