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Joined 2 years ago
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Cake day: August 7th, 2023

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  • None of those issues for my main IDE, though Rider on some occasions do get stuck marking some spelling errors after they are fixed.

    It has stuttered a few times, but pretty rare. But it does have a bug where it think it is building a project, but isn’t. And requires a restart to fix… Easy to trigger if you try building a project while it’s loading the project…

    Visual Stuido with Resharper is the one where things would randomly stop working though. Especially hotkeys would sometimes stop working until I restarted it. Slow and stutter too.




  • I sure don’t sound helpful saying this, but it’s mostly about finding the equivalent to the python action/types, and typing them out when making functions and variables. Though 99% of the time, you are completely fine defining variables as var to avoid excessive typing.

    I assume you dealt a bit with classes in python, if not then you’re doing double time with both changing language and learning object oriented classes at the same time.

    If there is any specific I can try to give some clarity since I also came from Python to C#.


  • I found C# to pretty much be python just with strict types and semicolons. Jumped right into it really on my first job and it worked out pretty fine, granted I got to orient myself in the existing project where I started.

    You are perhaps already familiar, but some things stand out like public/private annotations and other class related things like interfaces which work to create a more organized and controlled use compared to pythons “we are all consenting adults” approach were nothing ever really truly blocked from you. It depends a little on what you want to do/use it for, there’s frameworks and different uses like WPF / .NET for the frontend.

    While it may be too basic for you, ZetCode was useful for me back when learning PyQt in python, so you might find some use with the C# intro: https://zetcode.com/all/#csharp






  • Norway has something similar, you own the inside usually and the HOA own the outside, including the houses themselves. Live in one, largely a good thing but some things come slow since they need to be voted for of course. Generally worth it, since you get good deals on things like internet. It’s cheaper but it’s also something you usually have to use and the only option. Eg only that provider of internet.

    I’m my case, they are also responsible for my balanced ventilation, my exterior doors and my water heater. So when the time comes, they handle it. Shared costs cover snow plowing, the shared community building, upkeep of garage, outdoors and the buildings, and things like water bills and taxes paid. In particular, HOAs purchases do not need to pay a 2.5% of the purchase price fee when you purchase a home. This itself saves you quite a bit, and makes up for some of the extra you pay in monthly costs. (but pretty much all of those are at least going somewhere that benefit you anyways)

    The downsides are, there are special rules so some people that have membership may have a right to take over the winning bid in a sale. I myself used this to purchase my place, having gotten 10 years of seniority in “HOA company”. You spend the seniority with your purchase, but also are not allowed to own more than one part. Also, no long term renting so there aren’t any companies buying and renting out and things like that. You have to live in the HOA.








  • Quick google shows that Kanban is a method. Mainlu around picking up things as the come, but also limiting how much can happen at once.

    The project I’m has a team that uses Kanban for the “Maintenance” tasks/development, take what is at the top of the board and do it. Adapt if higher priority things comes around, such as prod bugs. Our developments teams are trying to implement Scrum, where interruptions are to be avoided if possible during sprints. You plan a sprint, try to do that work, and can present it, and iterate when users inevitably changes criteria.

    In the meme, kanban does somewhat make sense, since getting armrests is never going to get a high priority as part of building a rocket. Scrum isn’t exactly right, but I can see where it’s coming from. They are all agile methods though.


  • I kinda get where he is coming for though. AI is being crammed into everything, and especially in things where they are not currently suited to be.

    After learning about Machine learning, you kind realize that unlike “regular programs” that ML gives you “roughly what you want” answers. Approximations really. This is all fine and good for generating images for example, because minor details being off of what you wanted probably isn’t too bad. A chat bot itself isn’t wrong here, because there are many ways to say the same thing. The important thing is that there is a definite step after that where you evaluate the result. In simpler ML you can even figure out the specifics of the process, but for the most part we evaluate what the LLM said or if the image is accurate to our expectations. But we can’t control or constrain the output to exactly our needs, because our restrictions largely are just input in a almost finished approximation engine.

    The problem is, that companies take these approximation engines, put them in their product and consider their output fact. Like Ai chatbots doing customer support, and make up facts like the user that was told about rules that didn’t exist for an airline, or the search engines that parrot jokes or harmful advice. Sure you and I might realize that these things come from a machine that doesn’t actually think about it’s answers, but others don’t. And throwing a “*this might be wrong because its AI” on it is not an acceptable waiver of accountability.

    Despite this, I use chatgpt and gemini a lot to help me program, they get a lot of things wrong but also do great. It’s a great tool, exactly because I step in after the approximation step, review and decide. I’m aware of the limits. But putting these things in front of “users” without a review step means you are advertising that you are either unaware of this flaw, or just see the cost-benefit analysis and see that if noting else it’ll generate interest during the hype.

    There is a huge potential, but throwing AI into a situation where facts are needed when it’s only making rough guesses, is the wrong way about it.



  • It’s worth adding I greatly prefer MS Auth style authentication, since I don’t have to find the right entry to read the Auth code and then write it on the other computer. Instead MS pops a notification and you either type or select the right number, verify with fingerprint and done. Much more convenient.

    It often tells you what you login into and where you are attempt to log in from, so it’s a few extra layers of security for those that have that awareness to check those details.