How is Linux these days for everyday desktop use? I'm looking to reformat soon and I'm kind of sick of all the junk the comes alone with Windows.

I've used Linux briefly, back in the early 2000's but..not at all since really. I'm also learning web dev so I thought it could be fun to use to get used to it.

Do you use it for everyday use?

If your unfamiliar with Linux, how difficult is it to get things "done" on it?

Do most modern apps work these days?

As someone that's been using Windows for most of their life, do you think it's difficult to pick up and get running?

Do games work?

Edit I'm going to test out mint tonight on a thumb drive, thanks everyone!

This is a recurring post to discuss programming or other technical projects that we've been working on. Tell us about one of your recent projects, either at work or personal projects. What's interesting about it? Are you having trouble with anything?

Any clever ways to connect to the Internet safely to update drivers, security, etc? I'd only want to connect to Intel, AMD, Microsoft, etc, and then would physically disconnect the lan card. I know, dangerous, but I'm trying a piecemeal approach with a flash drive and getting mixed results. I tried to update to Service Pack 2, and it bricked the computer on restart, back to flashing Vista.

This is a recurring post to discuss programming or other technical projects that we've been working on. Tell us about one of your recent projects, either at work or personal projects. What's interesting about it? Are you having trouble with anything?

This is a recurring post to discuss programming or other technical projects that we've been working on. Tell us about one of your recent projects, either at work or personal projects. What's interesting about it? Are you having trouble with anything?

This is a recurring post to discuss programming or other technical projects that we've been working on. Tell us about one of your recent projects, either at work or personal projects. What's interesting about it? Are you having trouble with anything?

I've been thinking perhaps I'll need to get one of the desktop LLM UI. I've been out of touch with the state of the art of end user LLM as I've been exclusively using it via API, but tech-y people (who are not developers) mostly talk about the end-user products that I lack the knowledge of.

Ethical problems aside, the problem with non-API usage is, even if you pay, I can't find one that have better privacy policy than API. And the problem with API version is that it is not as good as the completed apps unless you want to reinvent the wheel. The apps also may include ads in the future, while API technically cannot as it would affect some downstream usecases.

As a dual use technology, the table doesn't include the extra retention period if they detect an abuse. Additionally, if you click on thumbs up/down it may also be recorded for the provider's employee to review.

I don't think OpenWebUI, self hosted models, etc. would suffice if they are not built to the same quality as the first party products. I know I'm probably asking for something that doesn't exists here, but at least I hope it will bring to people's attention that even if you're paying for the product you might not get the same privacy protection as API users.

This is a recurring post to discuss programming or other technical projects that we've been working on. Tell us about one of your recent projects, either at work or personal projects. What's interesting about it? Are you having trouble with anything?

This is a recurring post to discuss programming or other technical projects that we've been working on. Tell us about one of your recent projects, either at work or personal projects. What's interesting about it? Are you having trouble with anything?

This is a recurring post to discuss programming or other technical projects that we've been working on. Tell us about one of your recent projects, either at work or personal projects. What's interesting about it? Are you having trouble with anything?

tl;dr After 2 grueling days of mucking about I finally have KDE + Wayland + Nvidia working on Debian 13 (Trixie).

I started with Ubuntu 24. It just works, right? To its credit, it does. I didn't need to do anything to have it work out of the box. Nvidia was magically installed (even with secure boot enabled).

Gnome woes

But then Gnome would rename and re-encode images I dragged/dropped to "Dropped Image.png" from Firefox. Wouldn't even do that in Chromium. Can't tell if it's a bug, or "what's the use-case" scenario, but this behavior is a deal-breaker.

Not Kubuntu

Why not Kubuntu then? It doesn't do the same magic that Ubuntu does when it comes to Nvidia.

OpenSUSE almost

Latest and greatest whilst being supposedly stable. It took a while to get used to YaST and "patterns", but it was easy to install Nvidia drivers (zypper inr). But, naturally, there was an issue. I was able to boot, but into a very tiny resolution (on Wayland). After some thinking, I came to the conclusion that I was booting into my "integrated" GPU (on the CPU). Don't know why. Eventually I ran into prime-select boot nvidia and it worked. But then Steam (flatpak) wouldn't launch a game (loaded for a sec, then stopped). I was tired.

Debian & Nvidia driver woes

I always liked Debian. I use 12 at work for development and as a container base image. Seeing that 13 (Trixie) is on the horizon, I decided to give it a go for personal use. Surely the packages it ships with have been written in the last decade.

I followed their docs for Nvidia drivers. But I couldn't boot (no login screen) after installing. Apparently there's a bug with the driver and my GPU (3080) that Nvidia isn't going to fix. So I went and used Nvidia's installer instead to get the latest version. It worked without a hitch. The next kernel update will be interesting I imagine.

Final thoughts

Honestly, Linux feels like it's always a decade away for things to be stable enough to not require any tinkering for your average layman. I'm not the kind of person to muck with custom configs/etc.
I want things as vanilla as possible because I know it's a matter of when it breaks, not if.

Ubuntu feels the closest to the "it just works" experience IMO. I would've stuck with it if not for Gnome.

I've been considering going back to school and taking some courses that are available to me. With the associates that I already have, I was weighing the options that I have available to me. Computer Science is a classic and could probably get me very far with the "need a piece of paper" folks, but it's more software development than I have a passion for, compared to my troubleshooting, find a problem, solve a problem desires. Cybersecurity is probably going to be more dependent on certs than anything I can learn in a class, especially if it's ever evolving and a degree can be outmoded very quickly. Computer Information Systems sort of has my attention because it seems like an IT based degree with elements of a business setup and not as laser focused on coding. With the courses that I currently have under my belt, it would be more for CIS than it would be for CS, but more CLEP and ACE options so it about evens out.

Does Computer Information Systems hold any water in any of your opinions to what Computer Science has to offer? Or is it somewhat arbitrary anyway?

This is a recurring post to discuss programming or other technical projects that we've been working on. Tell us about one of your recent projects, either at work or personal projects. What's interesting about it? Are you having trouble with anything?

This is a recurring post to discuss programming or other technical projects that we've been working on. Tell us about one of your recent projects, either at work or personal projects. What's interesting about it? Are you having trouble with anything?

Part of my role at work is in security policy & implementation. I can't figure this out so maybe someone will have some advice.

With the advent of AI coding, people who don't know how to code now start to use the AI to automate their work. This isn't new - previously they might use already other low code tools like Excel, UIPath, n8n, etc. but it still require learning the tools to use it. Now, anyone can "vibe coding" and get an output, which is fine for engineers who understand how the output should work and can design how it should be tested (edge cases, etc.)

I had a team come up with me that they managed to automate their work, which is good, but they did it with ChatGPT and the code works as they expected, but they doesn't fully understand how the code works and of course they're deploying this "to production" which means they're setting up an environment that supposed to be for internal tools, but use real customer data fed in from the production systems.

If you're an engineer, usually this violates a lot of policies - you should get the code peer reviewed by people who know what it does (incl. business context), the QA should test the code and think about edge cases and the best ways to test it and sign it off, the code should be developed & tested in non-production environment with fake data.

I can't think of a way non-engineers can do this - they cannot read code (and it get worse if you need two people in the same team to review each other) and if you're outsourcing it to AI, the AI company doesn't accept liability, nor you can retrain the AI from postmortems. The only way is to include lessons learned into the prompt, and I guess at some point it will become one long holy bible everyone has to paste into the limited context window. They are not trained to work on non-production data (if you ever try, usually they'll claim that the data doesn't match production - which I think because they aren't trained to design and test for edge cases). The only way to solve this directly is asking engineers to review them, but engineers aren't cheap and they're best doing something more important.

So far I think the best way to approach this problem is to think of it like Excel - the formulas are always safe to use - they don't send data to the internet, they don't create malware, etc. The worst think they can do is probably destroy that file or hangs your PC. And people don't know how to write VBA so they never do it. Now you have people copy pasting VBA code that they don't understand. The new AI workspace has to be done by building technical guardrails that the AI are limited to. I think it has to be done in some low-code tools that people using AI has to use (like say n8n). For example, blocks that do computation can be used, blocks that send data to the intranet/internet or run arbitrary code requires approval before use. And engineers can build safe blocks that can be used, such as sending messages to Slack that can only be used to send to corporate workspace only.

Does your work has adjusted policies for this AI epidemic? or other ideas that you wanted to share?

What was your first programming language, what other languages (if any) do you know now, and what tips do you have for those trying to learn any of those? Whether those tips are for beginners or even advanced, to do with APIs, or if you've got a good library to share.

It just so happens that I was asked to write a paper about goals I hadn't achieved and I just thought about how I haven't touched my video game engine project in any meaningful way for around two months or so. On reflection, the main thing that is preventing me from working on it is that when I try to get back into it, I don't really know what I'm doing. I'm unorganized and can't figure out what exactly to do next because it's so open-ended. I'm absolutely terrible about writing down plans for what I should do.

I know that I'm not the only person who is trying to work on big solo projects, so I thought I'd ask: what are you doing to keep your project organized? Are you using any tools to help you? What do you find is most helpful to help you anticipate steps you'll need to address when things aren't very clear?

Most of my professional work involves the plumbing side of things (e.g. APIs, integration etc.) So I've come to front end quite late, and dabbled in HTML/CSS/JS frameworks, and tried to create a thing or two using Python GUI frameworks too.

After spending a bit of time learning about game development in Godot, I decided it might be fun to try and build a simple desktop app in the engine, and it surprised me how easy it was, it took me a day or two to build a basic git front end.

Of course, if you ever need to build something outside of GDscript, it'll require building an extension, probably in C++, but it makes me wonder if those sorts of tools exist outside of games engines? It feels like game devs get a wonderful tool that they use as a garnish on top of the real work (the game).

I'd be keen to know what people who regularly build front end tools tend to prefer to use.

ETA: I just realized the title is a poor summary of what I'm actually asking about, sorry!