As has always been the case, effective use of modern C++ requires knowing which subset of the language to use and which to avoid. I agree with the author's cri

As has always been the case, effective use of modern C++ requires knowing which subset of the language to use and which to avoid. I agree with the author's criticisms of many C++ features. At the same time, I think that a proper simple, modern subset of C++ exists that is much more productive and safer than C, without sacrificing performance. You can also optimize progressively, for example start with using std::string and std::vector and then replace the stock implementations if they aren't performant on your target architecture. I would not, however, recommend using C++ for GPU kernel code - a mix of C++ for CPU code and C for GPU kernel code works best. It is not ideal, but it's the best toolset available for serious industrial development. FPGAs are exciting, but they've also been the "next big thing" in general purpose computing forever. Obviously it makes sense to use FPGAs for certain HFT and embedded applications, but that's not the same as general purpose computing which is what C/C++ is for. Not to mention, FPGA compile times can take hours or even days, which pales in comparison to most C++ template overhead. I would also say that for IOT, I'm not sure why it is obvious that "$10 FPGAs" should dominate. Why not a $2 microcontroller? Embedded devices have been around long before "IOT" became a buzzword, and we can see that microcontrollers, FPGAs, SOCs, and custom ASICs all have a role to play depending on the application.