No. 01 / 50 - AI wrote the code. Who owns the bug?

AI is capable of writing code - a function, a component, a SQL query, or an entire block of business logic - in a matter of seconds.

But if that AI-written code ends up in production and later causes a problem, saying "AI wrote it" carries no weight as an excuse. Nor does it make AI the one at fault.

Because someone accepted that code, someone integrated it, and someone deployed it to production. And that someone - an individual or a team - still owns the responsibility for the code that was introduced into the system.

This is not a new rule created by the rise of generative AI. The same applied to code copied from Stack Overflow, or even requested there, a third-party library, an open-source package, or a solution written by a colleague.

The source of the code was never the same thing as ownership of its consequences. AI simply makes that distinction much more visible.

The problem begins when we start treating generation speed as a substitute for understanding. The code can look correct, pass a basic test, and even solve the task we gave it - while still being wrong for the system it is going to run in.

AI does not automatically know our business assumptions, architectural history, operational risks, security requirements, or the consequences that one small change can trigger several steps downstream.

That is why accountability cannot be transferred to AI through a prompt.

If we use AI for development, we can delegate part of the work to it. We cannot delegate ownership.

So the real question is not:
"Was this code written by a human or by AI?"

The real question is:
"Who decided that this code was good enough to become part of the product?"

That person or that team owns the result.
And the bug.