Clean AI
AI that races, code that lasts.
The good practices that make software last do not expire with AI. They matter more than ever, because now mistakes get generated faster too.
Clean code
If you don’t understand it, don’t accept it
AI writes very fast, but you are the one who maintains the code. Clear names and small pieces, so anyone can read it. It’s like signing a contract: no matter who drafted it, read it before you sign.
TDD
No tests, not done
First define what should happen, then ask for the code. It’s like giving the cook the recipe and tasting the dish before serving it. And if a test fails, you fix the dish, not the test.
Clean architecture
What matters goes in the center
Your business rules should not depend on the database, the screen or the tool of the moment. A well-built house lets you change the furniture without touching the foundations. AI must respect that structure, not skip it because it’s faster.
Hexagonal architecture
Everything external gets an adapter
Your application connects to the outside world like a device to a wall socket: when you travel abroad, you change the adapter, not the device. Even the AI model is an external part you will want to swap one day.
Simple design
The simplest thing that works
Generating code costs almost nothing, but maintaining it does not. An AI can add layers and options nobody asked for. Every extra line is one more line to look after, so you also have to know how to tell it no.
Professionalism
The responsibility is still yours
“The AI did it” is not a valid explanation when something breaks. The tool speeds you up, but you are the one who decides and answers for it. And the team should know more after using it, not less.