(Windows only warning, unless someone wants to add Linux support)
I didn’t really search around for GUIs way back, but ended up making a basic GUI because I wanted to learn programming.
With just having options as checkboxes for YouTube-dl. It has served me well all these years. It was literally the thing I made while learning programming so the code is pretty janky when I look back at it though…
It’s hyperbole, but I learned my first language because I wanted to be a god.
I saw these magic windows that popped up, that had buttons, and I was jealous of these godly creators holding the power to make them do as they wanted. So, I learned it myself. I peeked at another program I was using, it was using python and PyQt so that’s what I set out with to become my own god of the desktop.
My first program was a GUI wrapper around the YouTube-dl CLI, and I still use it frequently.
I am very content with Riders “hide whitespace and newlines” diff option. Frankly after starting to use auto format on code, all old files that got messy in the diffs next time they were changed.
There’s some other nitpicks that some more aware diff could have but outside python few changes in whitespace matters, so seeing every new line is a waste and visual burden in any review for me.
Sideloading apps The home screen layout (I’m sure this can be changed up though), gotta love launchers Live backgrounds that also work with launchers More styling options such as app icons for home screens. While less relevant with gestures now, their navigation setup The punchouts and larger things in the screen. I hate them, and hate that on android too. Apples lock in, esp things like file transfers. Google has some too of course, but Apple is worse.
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.
Completely true, but also compression can make anything bad. I’ve seen 480p better 1080p simply because the 480p was using more bitrate, where the 1080p is encoded without enough relatively speaking.
Working on a blog(entirely for fun), found out the server backend, actix-web, does not handle early termination of a stream well. Wanted to stop an upload if the file size turned out to be too large, but you have to consume the entire upload before returning an error. If not the client will never see the connection close. I guess there is a way to check the size beforehand, but sucks that you can’t stop a stream in progress.
Apparently a long standing issue.
It is not a defense of the manufacturers, but EVs are still damn expensive to make. And they are completely at fault for that too, because everyone except Tesla dragged their feet about making the EV transition.
I use phone every day at office so I don’t need to get the wallet out of my jacket when going to the canteen to buy lunch. It’s literally the reason I started using my phone to pay. Too many times I forgot my card…
New car smell, it’s awful. Sort of stale plastic if I were to describe it.
Amplified by long trips on bad roads as kid. Guaranteed to make you feel like vomiting on some sections. Now when I anticipate/pack for a trip I tend to smell that again even though I’m not even in a car.
It’s not that universal, but we have named a few things “Engines”, for example Balancing Engine. We also use services, but they are actually independent programs that performs jobs. Engine are used in other places, such as the ViewModels, or in the services.
We put them in the DomainModel project which most things reference though. That’s were most basic functionality and shared resources end up if they are used across Client/Service/Backend projects. So Domain / DomainModel might be a thing to use as well, if you want a specific namespace for that kind of use.
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.
A lot of external drives are just internal devices with another controller and casing around. I had a 4TB I used with my laptop, and tore apart the casing and just plugged it into my desktop when I built one. Unless you start hammering the external case around, the drive will be fine.
Played a lot of rainbow six siege, where you have to shoot those 360° security cameras when you are attacking. So, now I’m trained to spot those on instinct.
Pretty sure that site is satire, iirc with some right leaning bias but my memory is vague.
So it’s political ads, but at least fake politics :P
The simplicity of Google Photos has me still rolling with that.
But for all my music, syncthing is the best. In my case it’s synced to my phone though, and also backuped up from that to the cloud.
I disabled my adblock for Twitter to see a update about game server maintenance. It showed me random posts, nothing from this year. Literally unusable site when you can’t even see the latest tweets. Had to have other people tell me maintenance was extended…
Our main motivator was, and is, that manual testing is very time consuming and uninteresting for devs. Spending upwards of a week before a release because the teams has to setup, pick and perform all featue tests again on the release candidate, is both time and money. And we saw things slip through now and then.
Our application is time critical, legacy code of about 30 years, spread between C# and database code, running in different variations with different requirements. So a single page may show differently depending on where it’s running. Changing one thing can often affect others, so for us it is sometimes very tiresome to verify even the smalles changes since they may affect different variants. Since there is no automated tests, especially for GUI (which we also do not unit test much, because that is complicated and prone to breaking), we have to not only test changes, but often check for regression by comparing by hand to the old version.
We have a complicated system with a few intergrations, setting up all test scenarios not only takes time during testing, but also time for the dev to prepare the instructions for. And I mentioned calculations, going through all motions to verify that a calculated result is the same between two version is a awfully boring experience when that is exaclty something automated tests can just completely take over for you.
As our application is projected to grow, so does all of this manual testing required for a single change. So putting all that effort into manual testing and preparation can intsead often just be put on making tests that check requirements. And once our coverage is good enough, we can only manuall test interfaces, and leave a lot of the complicated edge cases and calculcation tests to automated tests. It’s a bit idealistic to say automated tests can do everything, but they can certainly remove the most boring parts.
It’s a link to an image on github not sure why it doesn’t work for you. Try just looking at the repo then:
https://github.com/Thomasedv/Grabber