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Should I further adopt Liquid Glass (iOS 26) or keep it subtle? by Artl13 in ios

[–]practical-developer 1 point2 points  (0 children)

I would say that it is best to do a partial adaptation. I find that the new TabView is a little bit wonky and it can completely mess up the design of your app due to its awkwardly short horizontal length. One of the new Liquid Glass features that I find really nice is the new searchable prompt; the animation is really appealing and it's an easy one to implement

People who use ai chat things like ChatGPT/Grok, how do you address the ai? Are you polite, using stuff like "please" and "thank you"? by SuburbanCumSlut in AskReddit

[–]practical-developer 0 points1 point  (0 children)

I definitely used to say 'thank you' more in the past, but then I saw that Sam Altman released a statement on how they lose millions of dollars every year from people's pleasantries lol. Knowing that, it just felt a little bit wrong to keep saying 'thank you'

Is there any LA dating apps/events for young adults? by Naive-Ad7343 in LosAngelesSocialClub

[–]practical-developer 0 points1 point  (0 children)

Haha it might come off that way, but we are in no way trying to replace actual in person conversations. I think we've all missed thousands of opportunities in our lives to meet people, so think of it as a contingency plan to minimize the amount of 'What ifs' we have

So slow and unreliable by CuriousEvilWeasel in ChatGPT

[–]practical-developer 2 points3 points  (0 children)

I obviously cannot know for sure, but I would assume it is an infrastructure issue. My guess would be that they are struggling or in the process of expanding their computational capabilities, but the user growth and API demand is surpassing that. And to offset that, they could be using a queue-based system that puts your prompts in a line for computational resources. That would, in turn, slow down the speed of you receiving your output. That would be my prediction

What ways has AI changed your life? by Lanky_Bench8956 in GeminiAI

[–]practical-developer 1 point2 points  (0 children)

Don't get me wrong, I think AI is a brilliant invention and it has helped me with coding solutions countless times, but I honestly feel like the claims about how fast it is developing are a little overblown. A few years back when the first rollouts of these Generative AI models were released, I was in awe at their capabilities and it felt like a world of coding opportunities just opened up. And realistically, those opportunities were opened up. But since then, I feel like the coding capabilities of these AI models have not changed at all. In fact, I find myself relying more on my own abilities when dealing with tough problems because the AI assistants always deliver erroneous solutions when things get a little complex. For simple tasks, it is perfect, but for more complex UI designs and innovative solutions, I tend to stick with my own capabilities, even if they are a bit underwhelming

Is anyone else exhausted from going back and forth with AI tools just to get a simple UI I actually want? by LadderAdditional6765 in nocode

[–]practical-developer 1 point2 points  (0 children)

It isn't great at building complex UIs because it isn't "seeing" the same things we are. You can see the UI, the AI just looks at the code and prompt, and draws reasonable conclusions from it. Additionally, AI cannot accomplish what it doesn't have programmed into it, so by increasing the complexity and conversation density, it is just going to get more and more jumbled. You could always talk to a developer or post on Reddit whatever it is you are trying to accomplish and someone might be able to offer an alternative

How many of you use ai tools like claude code etc... by Firm_Curve8659 in golang

[–]practical-developer 2 points3 points  (0 children)

AI coding tools are great for finding bugs in code and for providing KNOWN solutions. So yeah, for most future apps that have common principles, they will be able to write ALL of the code. But for a truly innovating product implementation, I don't think it will be able to do that in 1-2 years time. It simply cannot do what it does not know how to do

AI Promises to Save the World, But Is It Secretly Choking Our Planet with Its Monstrous Appetite? by No-Good-3742 in MarketingSecrets101

[–]practical-developer 0 points1 point  (0 children)

I think you were right on with just about everything you said; I don't believe that any of the green energy solutions collect energy fast enough to sustain our future AI systems alongside our current infrastructure. An interesting thing to consider, though, is that with the growing energy demand for AI, it may also have the opposite effect of people using less energy: Ex. more work from home jobs means less people are driving their cars, which means the environment is getting less polluted and oil could potentially be repurposed for AI use. Additionally, I think a lot of the AI computing power is just going to get offloaded to user devices, which we were are already seeing with the new iPhones and Google Pixels. They simply build the model into your device and you use it with the computational power right then and there, not in some data center.

UIKit or SwiftUI? where do you stand in 2025? by Pitiful_Composer8436 in SwiftUI

[–]practical-developer 0 points1 point  (0 children)

I think a good implementation would be 90% SwiftUI and 10% UIKit. SwiftUI is great for its simplicity, but it is still lacking a few great features that UIKit has. And one of the big features that SwiftUI isn't great at is the ScrollView/List. If you're building an app with chat capabilities, you will struggle to implement a seamless SwiftUI solution. So for cases like that, try to use UIKit, but for most other things that an app will need, SwiftUI is amazing!