07/29/2026
Most people here know us through Poor Louis Farms, but behind the farm we are always experimenting, building, and exploring new ideas.
Alexander has also been developing an open-source research project called the **Machine-Native Complexity Standard (MNCS)**. It explores a different way of thinking about AI-generated software—not just by looking at the finished code, but by collecting evidence about how reliably, efficiently, and independently machines can build and maintain it.
We recently published an article explaining why the most important product of machine-native coding may not be the code itself, but the evidence created along the way.
Read the article on Medium:
https://medium.com//the-real-product-of-machine-native-coding-is-not-code-it-is-evidence-3c6fdf91d1a1
Explore the open-source project on GitHub:
https://github.com/epi13/machine-native-complexity-standard
It is quite different from what we usually share here, but it represents the same curiosity, experimentation, and willingness to build something new that has always been part of Poor Louis Farms.