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Coming from the world of developing on the absolutely massive Chromium code base where compilation on a non-specialist workstation can take 3-4 hours, but build caching (goma) etc makes it mostly a non-issue [most of the time] ... I have a hard time believing that compilation times are honestly still a major issue for most developers.

There are only a few code bases out there that are massive enough that compilation time on a modern machine is a major impediment to productivity. And in those cases I find that IDE and analysis tools on large codebases are an even bigger problem than compilation speeds...

Also the VM argument you give makes little sense -- you can have your language run on a VM without the VM being a seperately bundled package like Java or .NET. For example: Python runs on a VM. Its own VM, which is part of the Python runtime itself. Now, it's not a particularly good VM, and Python is a late bound dynamic typed language so it's also pretty slow, but there's nothing stopping one from having a fast JIT VM with a static language like Go. Not saying one should do that, but it's entirely possible and there's arguments to be made either way.




I think compilation times in template-heavy C++ are still a major headache, especially since even modifications to private fields can trigger massive re-compilations.


> There are only a few code bases out there that are massive enough that compilation time on a modern machine is a major impediment to productivity.

Depends upon what you mean by "major impediment to productivity". I think someone like Bret Victor would argue that if your feedback loop is greater than a couple of seconds, you're toast.

From that perspective, _the majority_ of _all_ codebases are an impediment to productivity.

https://vimeo.com/36579366


Scala is pretty slow even with the build server up, and honestly it is a noticeable tax on my productivity/iteration time.




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