| > Null pointer dereference in the vast majority of cases will segfault. Attempting access to a zero address will segfault on most hardware, but unfortunately common C compilers in common configurations will not reliably compile a null pointer dereference to an access to the zero address. Look up why the Linux kernel builds with -fno-delete-null-pointer-checks (sadly, most applications and libraries don't). > When it comes to developing with Rust, any performance oriented project is necessarily going to have lots of unsafe for interacting with C libraries in the linux kernel in the same way that C code does. I'm not talking about performance oriented projects. I'm talking about regular use of libraries e.g. I need to talk to PostgreSQL so I'll call libpq, I need to uncompress some data so I'll use zlib, I need to make a HTTP call so I'll use libcurl... > The point is Rust isn't the defacto standard for memory safety It absolutely is though. It's got clear, easy-to-assess rules for whether a project is memory-safe or not, and a substantial ecosystem that follows them; so far it's essentially unique in that unless you include GCed languages. |
And whatever criticism is you have of that is surpassed by the fact in all cases for regular software (i.e run on a server or laptop or desktop) that would be normal to write in either Rust or C, if it was written in C, and a null pointer is dereferences, it would absolutely crash (i.e Rust is not really being used to develop embedded system software code in non experimental workflows where zero address is a valid memory address).
And whatever criticism you have of that is surpassed by the fact that if you can write Rust code with all the borrowing semantics, you can also write a quick macro for any dereference of a mempool region that checks if the pointer is null and use that everywhere in your code.
So TLDR, not hard to write memory safe code. Rust is just a way to do it, but not the only way. Its great for enterprise projects, much in the same way that Java came up because of its strictness, GC and multi platform capability. And just like Java today, eventually nobody is going to take it seriously, people who want to get shit done will be writing something that looks like python except even higher level, with ai assistants that replace text, and then LLMs will translate that code into the most efficient machine code.