Earlier quoted context omitted.
No, it's not significant. Dev time depends on programmer skill, not the toolset. A good C++ programmer will develop your MVP many times faster than an average Python programmer. Python programmers are much easier to hire, though - you already need a good C++ programmer on the team to hire another one, because HR and corporate management can't into proper hiring process. This last factor is the overarching most import…
> Dev time depends on programmer skill, not the toolset. This is obviously not strictly true, always. A skilled programmer will use the proper tools for the job. If you for example is tasked with writing a backend service exposing a GraphQL API, I think it would be foolish to do this in C++, and would bet that the average Python programmer would do it quicker than even a top-tier C++ programmer (if the latter would b…
a) Writing a schema parser is not rocket science. In fact, for a good programmer implementing their own GraphQL library would be quicker than integrating some third-party library. So your first point ("average Python programmer would do it quicker than even a top-tier C++ programmer") is absolutely wrong.
b) There's no value in an MVP that does something generic that is already available in off-the-shelf libraries. Your GraphQL example is pretty pointless because it doesn't actually do anything.
> ...the Python/Node/Go/etc developer would have a working GraphQL server up and running connected to a database of choice within an afternoon
Well, no. By the end of the week they'll still be arguing about which package manager to use, whether TDD is a good idea, what makes a microservice 'micro' and how to configure Kubernetes.