Programming in nim feels a lot like programming in a statically typed Python, except that you get small, fast, single file executables out of the box.
Compared to C++ you don’t need to worry about memory allocations too much except when you really want to, and when you do it is much simpler than in C or C++. It is also much easier to control mutability and the type system is much better. Also you can use most of the language at compile time in a much more elegant way than in modern C++.
Another surprising thing is that while the ecosystem is obviously much smaller than on more popular languages, the fact that it has a built-in package manager gives you access to it much more easily than in C++. There are a lot of high quality packages (such as datamancer, arraymancer and ggplotnim) which makes nim very productive in a lot of domains.
That’s not even including advanced things such as nim’s excellent macro system which I personally don’t use (but which enable some of the best nim libraries).
Oh, and I _love_ nim’s uniform function call syntax. Every other language should copy that feature.
I almost forgot to list the drawbacks. The main one of course is that it is not the most popular language (but the ecosystem is big enough that I didn’t find it is a big problem for my use case in practice). Other than that the editing and debugging experience could be improved. There is a decent VS Code plug-in (look for the one made by “saem”) but it is just OK, not great. There is some integration with gdb but it is a bit rough. I usually end up adding logs when I need to debug something.