That's possible, but then this raises the question; "How much better/more extensible would that feature be if that fast engineer had twice as much time to complete it?"
As engineers, we rarely pick the absolute best solution for every problem - Sometimes we pick the second, third, fourth... best solution (because they have smaller initial implementation costs).
If management puts too much pressure on engineers to implement features quickly, they will rarely choose the best possible solutions to problems; they will keep picking the 6th or 7th most optimal solution over and over again (for every problem they encounter)- In the end, the project will be littered with suboptimal solutions and the whole project will slow down to a crawl.
Better solutions usually take more time to implement - The 10x engineer doesn't type code 10x faster than a regular engineer.
You could have a 10x engineer whose code is so inflexible that they slow everyone else down by 20x - In that case, they are not a true 10x engineer - In reality, they are a (1/n)x engineer where n is proportional to the total number of engineers working on that project.
As engineers, we rarely pick the absolute best solution for every problem - Sometimes we pick the second, third, fourth... best solution (because they have smaller initial implementation costs).
If management puts too much pressure on engineers to implement features quickly, they will rarely choose the best possible solutions to problems; they will keep picking the 6th or 7th most optimal solution over and over again (for every problem they encounter)- In the end, the project will be littered with suboptimal solutions and the whole project will slow down to a crawl.
Better solutions usually take more time to implement - The 10x engineer doesn't type code 10x faster than a regular engineer.
You could have a 10x engineer whose code is so inflexible that they slow everyone else down by 20x - In that case, they are not a true 10x engineer - In reality, they are a (1/n)x engineer where n is proportional to the total number of engineers working on that project.