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Cake day: September 25th, 2026

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  • Avalonia offers an unoffical Linux backend for MAUI and there are some other less-maintained backends. I have tried neither of them (I really should) but they might work.

    The nice thing about WPF, MAUI, Avalonia and Uno is that they are all extremely similar in concept to the point where you can sometimes just take an existing UI, change some namespaces and class names and get mostly what you want. (WinForms on the other hand is very different from all of them)


  • I would say the main downside of C++ is that it carries around a lot of baggage from the last 40 years. Even if you decide to use a modern standard in your own code, you’ll have to deal with libraries that can’t use many of the new features because they need to stay backwards compatible with old code bases. Also, a lot of tutorials and examples still look like they are from pre-C++11 times.

    I recently started a project that would have been a great fit for C++ (simple 2D game engine + editor) but the way Qt has to reinvent half the standard library, GTK basically asks you to write plain C and gtkmm had some other issues that I can’t even remember, all the fun of working on the project was gone. I decided to switch to C# (which I use for work anyway) and Avalonia and so far it’s going well. Not being able to use C++ still nags at me anyway. I would have loved to get more comfortable with modern C++ but I just couldn’t keep up the motivation.

    I’ll try again for the next project.



    1. Because people still misread a single CloudFlare graph that shows a huge drop in bot traffic. The thing is, that graph only shows traffic between one specific subnet and CloudFlare. If you bomb a data center, of course that data center’s traffic drops. But for the internet overall, that’s less than 0.1% of the total bot traffic and social media bots don’t target CloudFlare. They target Twitter, Instagram and Facebook. There is no reason they would ever even show up in CloudFlare’s statistics.
    2. Barely anyone seems to actually measure the amount of bot activity on social networks. They see less traffic so that must mean fewer bot-written posts.
    3. Even the one linked here is misleading. Seems like they did analyze message contents but a very small amount (less than 5000 per day) and their “84% drop” happened for 1.5 days then immediately recovered.
    4. For those who profit from the bots, it’s a great narrative. Now they can claim that everything positive about them that you see on social media must be true because after all, the evil bots are dead and only true Americans write stuff about Trump, a couple of weeks before the midterms. Or about the German AfD fighting against being banned.
    5. Cognitive biases. Many of us (including me) desperately want this to be true so we are less likely to critically examine the details. I don’t think Jowi Morales who wrote the Tom’s Hardware article that many other articles quote wanted to mislead anyone. He saw something that fit his worldview and went with it. It’s the same reason why we’ve seen “the AI bubble is about to collapse any minute now” articles basically every week for over a year and yet it’s still going.