I'm not sure about what you mean with your first sentence in terms of product.

But in general, my guess at an answer(supported by the results of the experiment discussed on this thread), is that:

- GenAi left unsupervised cannot write a browser/engine, or any other complex software. What you end-up with is just chaos.

- A group of humans using GenAi and supervising it's output could write such an engine(or any other complex software), and in theory be more productive than a group of humans not using GenAi: the humans could focus on the conceptual bottlenecks, and the Ai could bang-out the features that require only the translation of already established architectural patterns.

When I write conceptual bottlenecks I don't mean standing in front of a whiteboard full of diagrams. What I mean is any work the gives proper meaning and functionality to the code: it can be at the level of an individual function, or the project as a whole. It can also be outside of the code itself, such as when you describe the desired behavior of (some part of) a program in TLA+.

For an example, see: https://medium.com/@polyglot_factotum/on-writing-with-ai-87c...