Introduction

Andrej Karpathy decided to spend the weekend reading a book, but didn't want to do it alone. He wanted to read it with an AI committee that offered their perspectives and reciprocal critiques. To this end, he wrote a code behind which a “vibecode” - a software project written quickly, mostly thanks to AI assistants, meant for entertainment rather than functionality.

## Details

The project was published on GitHub with a strong statement of non-support: "I will not support this code in any way. Codes are excessively ephemeral now and libraries are obsolete". However, for corporate IT administrators who navigate the corporate landscape, looking beyond the statement reveals something much more significant: an architecture reference for the most critical, indeterminate software structure: AI orchestration middleware that lies between corporate applications and unstable market AI models.

## Practical Implications

The application's architecture is built on a lightweight bubble of technologies: the backend uses FastAPI, a modern Python framework, while the frontend is a React application built with Vite. Data is stored in a simple JSON file collection on the local disk.

The key to everything lies in the OpenRouter applicator, which normalizes differences between different model providers. By doing so, Karpathy avoids writing separate code for each provider, ensuring flexibility and protecting against potential brand locking.

The project demonstrates how AI models can be treated interchangeably. If a new top-performing model comes out next week, it can be added to the council with only a single line of code modification.

## Conclusions

LLM Council is a project that highlights how AI models can be used to create interactive and flexible solutions. This approach may prove useful not only for developers but also for companies trying to manage a wide range of data and requests.

The industry has been put to the test by Karpathy writing the code in just a few hours. This puts into question traditional corporate strategy, which builds international libraries and data management structures to tackle software complexities.

So too does it demonstrate that an efficient model capable of generating customized code quickly could be a winning strategy. LLM Council brings attention to this aspect and brings us to ask if companies can benefit from having more flexible tools.