Apple's upcoming Xcode update set to revolutionize developer workflow with AI integration

[Redaktion]

Apple is reportedly developing an Xcode update inspired by GitHub's CoPilot - using AI to generate code from natural language prompts, potentially expediting app development. This aligns with Apple's broader effort to integrate AI across its ecosystem, led by software chief Craig Federighi, signifying Apple's commitment to closing the AI gap with competitors.

https://www.notebookcheck.net/Apple-s-upcoming-Xcode-update-set-to-revolutionize-developer-workflow-with-AI-integration.803768.0.html

[davidm]

It would be nice to have some useful content in this article. Is the "AI" going to run locally? That is very feasible on Apple silicon (on general x86 chips, not so much).

[The Werewolf]

I wish and Apple fans would stop thinking that Apple is the only company in the world.

Microsoft did this with Visual Studio a few years ago and even VSCode has a similar plug in.

Apple is not revolutionising anything here - they're just playing catch-up.

And it's a tacit admission that Apple was last to the party.

(Also, why does this article read more like a press release than an actual article?)

[The Werewolf]

It would be nice to have some useful content in this article. Is the "AI" going to run locally? That is very feasible on Apple silicon (on general x86 chips, not so much).

Oh please. I have lots of friends who are running Stable Diffusion and similar genLLMs on their x86 PCs and that's doing generative graphics. Microsoft integrated AI predictive coding into Visual Studio and VSCode almost a year ago and it runs just fine (well, if you like genLLM code assists).

[gmghm]

Microsoft did this with Visual Studio a few years ago and even VSCode has a similar plug in.

a) there are "plugins" for everything, including xcode
b) you can not use those "plugins" in any real corporate dev environment except your in-house pet projects
c) apple is rumored to do public AI that owns its training data and is actually usable in real dev, which is different from existing AIs trained on public data

I have lots of friends who are running Stable Diffusion and similar genLLMs on their x86 PCs and that's doing generative graphics

yeah ask them to generate 8K image on x86

why are you even commenting, you have no idea about the topic

[davidm]

If anyone comes across this, the point is full scale *local* AI. Not from the cloud, not on a subscription, not with any privacy or secrecy concerns. The article didn't go to that depth (my original point), but that is the direction and where Apple has some strengths, since with their unified memory design Apple silicon is years ahead of x86 for this type of application.
People can already run good quality LLMs on any Apple system from M1 up that would be impractical on a base x86 system, though more than 16GB RAM is essential, more than 32GB helpful.

[RobertJasiek]

full scale *local* AI. [...] where Apple [...] with their unified memory design Apple silicon is years ahead of x86 for this type of application.

Your statement is absolutely wrong! The truth is: It depends on the (e.g., AI) software, its usage and for both on the needed amounts of RAM, VRAM or Unified Memory. If any of the volatile storage is insufficient for the software in its usage, execution is very slow or impossible. If volatile storage is sufficient for the software in its usage, it depends on a) whether the software is available for the hardware, OS and libraries, b) the kind of cores are particularly suitable for the software and c) the libraries for the cores are particularly suitable for the software.

There are examples of interesting versions of AI software, such as LLM, for which insufficient VRAM prevents execution while Unified Memory, if it is sufficiently large, enables execution. There are also Nvidia server GPUs or servers with many such GPUs with enough VRAM for such LLMs.

There are examples of AI softwares, such as Katago, that run mainly on RAM, hardly need VRAM, profit from Nvidia tensor and CUDA cores and profit from Nvidia libraries for these cores. Such softwares are dozens of times faster on x64 than Apple M, which lacks TDP, suitable cores and suitable libraries for such suitable cores. In your words, x64 with Nvidia GPUs is many years ahead of Apple M for such softwares.

[RobertJasiek]

For the citation in my previous message, I forgot to point out for the user A:

Apple propaganda detected!

[Neenyah]

Apple is the best in everything. EOD.

Apple propaganda detected!

Basically this, but Apple.

[lmao]

lmao poor apple haters still can't adopt the reality.
poor go cheater even thinks his go cheating app is an ai lmao and calls llms "interesting version of ai".
nbc really has to do something about these low-quality shitposters in comments, last two messages are just pure hate with zero arguments.

[Neenyah]

lmao poor apple haters still can't adopt the reality.
poor go cheater even thinks his go cheating app is an ai lmao and calls llms "interesting version of ai".
nbc really has to do something about these low-quality shitposters in comments, last two messages are just pure hate with zero arguments.

Retard level 9000. Congrats on achieving it.

[lmao]

Retard level 9000. Congrats on achieving it.

third shitpost in a row from the same two personas full of hate
no offense taken lmao dont worry guys we know that its your envy to people who achieved something real in their life and have money for apple tech makes you do this

[Neenyah]

Retard level 9000. Congrats on achieving it.

third shitpost in a row from the same two personas full of hate
no offense taken lmao dont worry guys we know that its your envy to people who achieved something real in their life and have money for apple tech makes you do this

Admit it, you love Apple more than your own mother. Only that would explain that ongoing mental breakdown of yours. Resume therapy please.

[lmao]

Admit it, you love Apple more than your own mother. Only that would explain that ongoing mental breakdown of yours. Resume therapy please.

lmao what i love is watching people triggered by word "apple" and running around trying to insult people because of their hate
nbc really has to do something about you low-iq low-effort commenters

[El Mao]

lmao poor apple haters still can't adopt the reality.

El MAO - apple user detected! - haha! El MAO EL MAO