Ctrl+H to open history then!

I haven’t done too much work with WASM myself, but when I did, the only languages I saw recommended were Rust, C++, or TinyGo. From what I’ve heard, Rust and C++ are smoother than TinyGo. Garbage collected languages usually aren’t great choices for compiling to wasm because wasm doesn’t have any native garbage collection support. That limits your selection down a lot.

But another option you may want to consider is Nim. As I understand, it compiles to C, so any C->Wasm compiler should theoretically work for you as well. I did a quick search and wasn’t able to find any great resources on how to do this, but you might get a bit more lucky. Good luck!

You’re probably right. I think COBOL development is one of the cases where the crazier stories are the ones that bubble to the top. The regular scene is probably more mundane.

I do think there are a few advantages to learning COBOL over C++. COBOL seems to be much stickier - companies that use it seem much more hesitant to replace it than a lot of the companies that use C++, and as a result, they will probably get more desperate. And while there’s definitely a lot more C++ out there than COBOL, I have to imagine that the number of people under 50 that use COBOL is probably tiny, while C++ still has a very large userbase. On the other hand, consulting depends a lot on your portfolio, references, and past accomplishments, and nobody’s going to pay 1k EUR/USD/etc. per hour (exaggerating, obviously) if you don’t have any credentials. It takes time to build that up.

Ultimately, I do think you’re pretty spot on, but we’ll have to see. This is more just a fantasy I tell myself to make it seem like retirement is closer than it probably is…

I fantasize about being one of those extremely well-paid Cobol consultants when I reach the later stages of my career. Hoping that I can earn a full year’s salary in 3-4 months and take the rest of the time off as a semi-retirement. It would be easier said than done, but it’s a dream that helps me get through the days when I get sick of the daily grind.

This is very interesting! Things like this make me wish programmers would give functional^W declarative programming more of a chance. I’ve long fantasized about being able to write programs as declarative code that the computer can optimize automatically without human intervention. When you implement your program in more restrictive (ie. stateless) paradigms, you can more easily reason about the code, and thereby make it easier to optimize or run in different environments.

SQL is a great example of this - when you look at some of the optimizations that servers like PostgreSQL can do under the hood, this is because the language inherently limits what you can do so the actual system executing your instructions can do different things with it for better performance and reliability. Things like this are what make query optimizers possible, and it’s really fascinating if you actually read carefully what query analyzers report (beyond just checking whether your indices are being used or not).

Beautiful chart. Thanks for sharing!

I would vote for docker as well. The last time I had to inherit a system that ran on virtual machines, it was quite a pain to figure out how the software was installed, what was where in the file system, and where all the configuration was coming from. Replicating that setup took months of preparation.

By contrast, with Docker, all your setup is documented. The commands that were used to install our software into the virtual machines and were long gone are present right there in the Docker file. And building the code? An even bigger win for Docker. In the VM project, the build environment for the C++ portion of our codebase was configured by about a dozen environment variables, none of which were documented. If it were built in Docker, all the necessary environment variables would have been right there in the build environment. Not to mention the build commands themselves would be there too, whereas with VMs, we would often have developers build locally and then copy it into the VM, which was terrible for reproducibility and onboarding new developers.

That said, this all comes down to execution - a well-managed VM system can easily be much better than a poorly managed Docker system. But in general, I feel that Docker tends to be easier to work with than a VM. While Docker is far from flawless, there are a lot more things that can make life harder with VMs, at least from my experience.

Don’t worry everyone, I’m here to help:

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Glad to be of service! Until next time…

This is quite cool. I always find it interesting to see how optimization algorithms play games and to see how their habits can change how we would approach the game.

I notice that the AI does some unnatural moves. Humans would usually try to find the safest area on the screen and leave generous amounts of space in their dodges, whereas the AI here seems happy to make minimal motions and cut dodges as closely as possible.

I also wonder if the AI has any concept of time or ability to predict the future. If not, I imagine it could get cornered easily if it dodges into an area where all of its escape routes are about to get closed off.

There is no way to make a network request faster than a function call.

Apologies in advance if this it too pedantic, but this isn’t necessarily true. If you’re talking about an operation call that takes ~seconds to run, then the network overhead is negligible. And if you need specialized hardware for it, then it definitely could be delegate it out to a separate machine over the network. Examples could include requiring a GPU, more RAM, or even a faster CPU if your main application is running on more power-efficient CPUs.

I’m not saying that this is true in every case - they are definitely niche cases. But I definitely wouldn’t say that network requests are never faster than local function calls.

Agreed on all points. I think some of the issues that you’re facing are things that would be resolved if Ocaml were more popular. But some others would be harder to fix without making breaking changes to the language as I mentioned earlier. If I had to put it as succinctly as possible, I’d say that the language just needs a lot more polish which would probably happen if it were more mainstream. But not all languages have to be mainstream, and maybe Ocaml’s purpose in the world is, as you put it, to inspire other languages. It is definitely extremely good at that!

No one has said Ocaml yet, so I will. It’s not a perfect language, but it has a lot of cool ideas and concepts. It’s a functional language, but allows you to write imperative code when you want to. Algebraic data types and type matching are built natively into the language and work very nicely. It’s type inference capabilities are very powerful (though that can backfire at times), and the |> operator is really, really fun to use. It also has very powerful module/functor capabilities, though they go a bit over my head since I haven’t had a chance to play with them. Also, Opam is a very powerful package manager and it’s pretty easy to wrap/bind external libraries with it.

I’d love to see some improvements to the language - the syntax is a bit confusing and ugly at times (but this unfortunately can’t be fixed without breaking the language of course) - but overall I think I’d have a lot more fun programming in Ocaml than what I do in my day job.

My advice would be to learn C first (or at least develop a good understanding of it). It’s extremely important to understand how memory works in C so that you can understand pointers in C++; and also important to understand how functions work so you can understand classes and methods in C++. I would go through The C Programming Language. It’s fairly concise and while you don’t have to go through it cover to cover, you should at least understand the chapters on structs, pointers and functions (up to chapter 6, I believe).

(Note that the wikipedia link that I posted above has a link to the full text of the book in pdf format.)

The reason why I think it’s important to understand C is because when you learn C++, then you’ll understand how the language abstracts over a lot of the lower-level functionality in C. new in C++ supplants malloc in C for example, and your understanding of functions in C will map to more complicated concepts like constructors, destructors, copies, methods, and operators in C++. At this point, I would probably start learning how classes in C++ work. They’re basically structs with private member variables and methods defined in the scope of the class. learncpp.com, is the best reference that I’m aware of (it’s very thorough, which makes for a pretty slow read, but you’ll understand it very well). I would probably start with chapter 14 (introduction to classes), and then go back to the earlier chapters to fill in the gaps, but this is more dependent on how you think you learn best.

Be aware though, that if you don’t have existing experience with OO development, then C++ is (in my opinion) not a great language to start learning it, because a lot of it is hacked on top of C and implemented in arcane ways in order to maintain compatibility with C. The first language I learned was Java, and it was really helpful to have that as a background for when I learned C/C++. I’m only familiar with Javascript on a procedural programming level, so I’m not aware of its OO functionality or how well that will translate to C++, but hopefully it works out.

Good luck!

Agreed overall, you will still be competent switching from one language to another, but intricacies and nuance matter a lot here. You may have enough knowledge to solve problems, but will you have enough knowledge to avoid creating new ones too? Like performance issues, or memory leaks, or other unwanted behavior? C++ is a great example here: someone that’s smart but inexperienced might just be dangerous enough to start writing classes with dumb pointers without overriding the copy constructors, and this is just a recipe for disaster.

I think it would take more than a few months to develop the kinds of experience that you need to be aware of these issues and avoid them. And while C++ is a very easy example to point out here, pretty much all languages have their share of footguns to be aware of, and it just takes time to learn them. A “deep knowledge” of a language is not just about being faster and more productive; it’s also about not creating more issues than the ones your solving.

This one might be a bit controversial, but has rung true in my general experience. Probably a lot of exceptions to these rules, but here goes:

You don’t really know a programming language until you understand a fair amount of the standard library and how packages/modules/dependencies work. Syntax is pretty easy, and any mainstream language will work just fine for solving basic leet-code style problems. But when you really spend a lot of time working with a language, you’re going to spend more time learning about common libraries and how to manage dependencies. If you’re working with a language like C++ or Java, this could also include build systems and how to use them.

Another precursor to being able to say that you know a language is that you should also be familiar with best practices (ie. how to name modules, how to write documentation, etc.) and common pitfalls (undefined behavior, etc.). This is one of the hardest parts about learning a new language in my opinion, because the language may not necessarily enforce these things, but doing them the wrong way can make your life very difficult.

the only annoyances are that to use the slash you need to use shift

Oof, that sounds really annoying. I can’t possibly imagine how I would use the terminal that way

But Swiss, that’s the stuff of nightmares!

Ha, that sounds funny (in a morbid kind of way…). What’s so bad about it?

Same here. Sure, KDE and Gnome may have great Wayland support by now, but what about other DEs? The situation in XFCE seems to be pretty grim:

It is not clear yet which Xfce release will target a complete Xfce Wayland transition (or if such a transition will happen at all).

MATE seems to have piecemeal support. No idea what the status of LXDE/LXQT are. And there are plenty of other window managers that don’t have the manpower to support wayland either.

The deprecation of X is going to leave a lot of dead software in its wake.

Why is it your responsibility to pay the creators? Google is a trillion dollar company and makes billions off of what people post on youtube. Shouldn’t they be paying them instead and not you?

Besides, it’s only a matter of time before Google takes more and more of the cut that you think you’re paying them.

You say that today. Give it a couple years. I’m pretty sure that by 2030, the cost will be ~100 dollars/euros/whatever per month and you’ll see 2 minutes of ads for every single minute of content you watch. (Okay, maybe the number of ads is an exaggeration, but I don’t think the monthly cost is.)

Don’t pay the Danegeld. It never makes them go away.

when it means they will not sell my data and will allow me control over my algorithm to prevent it from playing to my vulerabilities

The problem is that this will never happen. That boat has sailed - companies will never give up on their existing revenue streams. They may say that paying today will exempt you from the ads, but it’s only a matter of time before they ramp up the cost and start showing ads anyway. That’s how cable television started, and it’s how internet streaming will end as well. And as for the not selling data/controlling the algorithm, well you have no way of proving that they don’t do that so they’ll do it no matter what they say.

There’s no reason for google to do this whatsoever. They have their business model - any new revenue streams will 100% definitely not reduce the other ones at all. It’s just gonna be another giant dump into the pile of enshittification.