The AI Design Authority
We are at a turning point in software development. The discussion is often about which which AI writes the best code (Claude vs. ChatGPT) or where where that AI should live (IDE or CLI). But that is not the right question.
If we embrace AI as "Vibe Coders" – where we provide the intent and the AI handles the execution – we create a massive flow of new software. A swarm of AI agents can generate more code in one minute than a senior developer can review in a week. Humans have become the bottleneck.
The solution is not more more humans. The solution is an AI Design Authority.
From Craftsman to Factory Manager
Traditionally, the "Design Authority" is a group of architects who meet once a week or month to approve or reject a design. In a world of high-velocity AI development that model is hopelessly outdated. It is too slow and too reactive.
If we switch to "Disposable Code" – software that we don't refactor endlessly, but discard and regenerate when requirements change – then our role changes fundamentally. We are no longer bricklayers laying stone by stone. We are the architects of the factory that prints the walls.
But who checks if those walls are straight?
The "Gauntlet": An automated trial by fire
An AI Design Authority is not a person, but a pipeline. A “Gauntlet” that every line of generated code must fight through to reach production. This process does not replace human code review with nothing, but with something better.
It works in three layers:
1. The Executive Branch (The Generation)
We don't ask one AI for a solution, we ask three. We have Gemini 3, GPT-5, and an open-source model (like Llama) work on the same problem in parallel. This prevents tunnel vision and breaks the “laziness” that LLMs sometimes suffer from. This approach is also scientifically researched and demonstrates that you can prevent AI hallucination and build very long chains without errors
2. The Hard Filter (The Law)
There is no room for discussion here. Code must compile. Linters must not complain. And crucially, the Black Box Tests must pass. We don't test whether the function works internally (the AI can manipulate that), we test whether the system does what it is supposed to do from the outside. Does the test fail? Straight into the trash.
3. The Soft Filter (The AI Jury)
This is the real innovation. The remaining solutions are submitted to a specialized “Voting AI”. This agent does not write code, but reads code. It is trained on our architectural principles, security requirements (OWASP, ISO), and compliance rules (EU AI Act).
He votes: “Solution A is faster, but Solution B is more secure and aligns better with our microservices architecture.”
The winner goes to production.
The Trias Politica of Software
This model enforces a separation of powers that is missing in many teams.
- The Legislative Power (The Architect): The Architect writes the "Constitution". The prompts, the architecture documents (
project-description.md, rules.md, skills.md en principles.md), the hard requirements. The architect determines what what we build, who builds it, how and why. - The Executive Power (The Coding Agents): They execute. Fast, cheap, and under the auspices of human developers.
- The Judicial Power (The Design Authority): An independent AI layer that tests against the law.
Conclusion: The new role of the Architect
It frees us from the tyranny of syntax errors and allows us to focus on what we are good at: Systems thinking. Truth-finding. Structure and decision-making.
The question is not whether AI can write our code. That subject is already closed. Code is largely becoming a disposable product.
The question is: Do you dare to let go of control over the code in order to regain control over the quality back?
let me know
