It reminds me. When I had my consulting company 20 years ago, I defined these "metrics" to decide if a project was successful.

- Is the client happy? - Are the team members growing(as in learning)? - Were we able to make a profit?

Everything else was less relevant. For example: Why do I care that the project took bit longer, if at the end the client was happy with the result, and we can continue the relationship with new projects. It frees you from the cruelty of dates that are often set arbitrary.

So perhaps we should evaluate AI coding tools the same. If we can deliver successful projects in a sustainable way, then we are good.