That’s why I did not said it was impossible, just order of magnitude harder to catch in C++ compared to Rust.

To have asan finding the bug, you need to have a valid unit test, that has a similar enough workload. Otherwise you may not see the bug with asan if the vector doesn’t grow (and thus ref would still be valid, not triggering UB), leading to a production-only bug.

Asan is a wonderfull tool, but you can’t deny it’s much harder to use and much less reliable than just running your compiler.

void foo() {
    std::vector v = {0, 1, 2, 4};
    const auto& ref = v[1];
    add_missing_values(v);
    std::cout << ref << "\n";
}

void add_missing_values(std::vector<int>& v) {
    // ...
    v.push_back(3);
}

Neither foo(), nor add_missing_values() looks suspicious. Nonetheless, if v.push_back(3) requires v to grow, then ref becomes an invalid reference and std::cout << ref becomes UB (use after free). In Rust this would not compiles.

It is order of magnitudes easier to have lifetime errors in C++ than in Rust (use after free, double free, data races, use before initialisation, …)

Is it possible to do in Rust?

Yes

Is possible to do in Rust, by mistake, and not easily caught by a review?

Definitively not.

DRY and YAGNI are awesome iif you also practice YNIRN (You Need It Right Now)! Otherwise you just get boilerplate of spaghetti

You got me in the first 3 quarters, not gonna lie!

There are cases where instead of origin/master..HEAD you may want to use @{upstream}..HEAD instead to compare with the upstream of your current branch. It’s unfortunately quite unknown.

Read your own code that you wrote a month ago. For every wtf moment, try to rewrite it in a clearer way. With time you will internalize what is or is not a good idea. Usually this means naming your constants, moving code inside function to have a friendly name that explain what this code does, or moving code out of a function because the abstraction you choose was not a good one. Since you have 10 years of experience it’s highly possible that you already do that, so just continue :)

If you are motivated I would advice to take a look to Rust. The goal is not really to be able to use it (even if it’s nice to be able able to write fast code to speed up your python), but the Rust compiler is like a very exigeant teacher that will not forgive any mistakes while explaining why it’s not a good idea to do that and what you should do instead. The quality of the errors are crutial, this is what will help you to undertand and improve over time. So consider Rust as an exercice to become a better python programmer. So whatever you try to do in Rust, try to understand how it applies to python. There are many tutorials online. The official book is a good start. And in general learning new languages with a very different paradigm is the best way to improve since it will help you to see stuff from a new angle.

I would have liked a link to the LKLM thread. Usually they are quite informative

I use a 42 key layout modified from bépo (french dvorak inspired layout) with the altgr layer of ergol. Go check this altgr layer it’s awesome for programming, and there is a version compatible for qwerty and lafayette.

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If you have references explain why and how that it’s easier to port C to a new architecture by creating a new compiler from scratch than to either create a backend for llvm (and soon gcc) or to create a minimal wasm executor (like what zig is doing) to this new architecture I’m interested. And of course I talking about new architectures because it’s much easier to recreate something that as already be done before.

I’m not familiar with C tooling, but I have done multiple projects in C++ (in a professionnel environnement) and AFAIK the tooling is the same. Tooling to C++ is a nightmare, and that’s and understatement. Most of the difficulty is self inflicted like not using cmake/meson but a custom build system, relying on system library instead of using Conan or vcpkg, not using smart-pointers,… but adding basically anything (LSP, code coverage, a new dependency, clang-format, clang-tidy, …) is horrible in those environments. And if you compare the quality of those tools to the one of other language, they are not even close. For exemple the lint given by clang-tidy to the one of Rust clippy.

If it took no more than an hour to add any of those tools to a legacy C project, then yes it would be disingenuous to not compare C + tooling with Rust, but unfortunately it’s not.

With Bram Moolenaar death, I sincerely think that vim will no longer be able to play catch-up with nvim. Bram Moolenaar did an amazing job with nvim, but with its death I think that vim is going to be an editor of the past, just like vi is an editor of the past. And nvim is its successor since its where the developers have moved.

I never had to use this estimate in front of a client, but if I had, I would decompose it first before giving the total estimate. If there is about 10 items to do per button, so 10 buttons would be a hundred complexe tasks. So let say that it take an hour per task, but since we are fast we can do 10 a day. So suddenly 10 working days, or said otherwise 2 weeks don’t seems unrealistics for this apparently simple 10 buttons task.

As a rough estimation, if you include everything (apperance, discussion, functionality, interaction with other controls, …) I would say that every single input field or button is about a day of work. And then you start to realise how many buttons there is in any GUI and how much it will cost.

Usually when people say “I suck at maths”, it means that they are bad at doing manual calculus. Maths is extremely useful in programming, but it’s absolutely not the same kind of math. I don’t think that the grade you had in math at school will influence in any if you will be good or bad in programming.

I would even have said that both throwing and catching should be pure, just like returning an error value/handling should be pure, but the reason for the throw/returning error itself is impure. Like if you throw and ioerror it’s only after doing the impure io call, and the rest of the error reporting/handling itself can be pure.

I’m surprised about this statement, I would have said that exceptions are the consequence of an impure operation (that may or may not fail differently every time you call it).

There take on what they call capabitilites is very interesting. Basically anything that would make a function non-pure seems to be declared explicitely.

A computational effect or an “effectful” computation is one which relies on or changes elements that are outside of its immediate environment. Some examples of effectful actions that a function might take are:

• writing to a database
• throwing an exception
• making a network call
• getting a random number
• altering a global variable

Interesting take but I think you are right. It’s indeed critical to know how you product is used nowadays.

2019, so 4-5 years ago so not that recent but not ancient either. But unfortunately tutorials have not been updated.

I would say that the biggest benefit of git switch is that you can’t switch to a detached state without using a flag (--detached or -d). If you do git co $tag or git co $sha-1 you may get at one point the error “you are in a detached state” which is ununderstable for begginers. To get the same error with git switch you must explicitely use git switch --detached $tag/$sha-1 which makes it much easier to understand and remember that you are going to do something unusual.

More generally it’s harder to misuse git switch/git restore. And it’s easier to explain them since the only do one thing (unlike git checkout which is a mess !).

So if it’s only for you git checkout is fine, but I would still advice to use git switch and git restore so you will have an easier time to teach/help begginers.