There were a number of exciting announcements from Apple at WWDC 2024, from macOS Sequoia to Apple Intelligence. However, a subtle addition to Xcode 16 — the development environment for Apple platforms, like iOS and macOS — is a feature called Predictive Code Completion. Unfortunately, if you bought into Apple’s claim that 8GB of unified memory was enough for base-model Apple silicon Macs, you won’t be able to use it. There’s a memory requirement for Predictive Code Completion in Xcode 16, and it’s the closest thing we’ll get from Apple to an admission that 8GB of memory isn’t really enough for a new Mac in 2024.

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14 points

Yes, it really is that bad. 350 MBs of RAM for something that could otherwise have taken less than 100? That isn’t bad to you? And also, it’s not just RAM. It’s every resource, including CPU, which is especially bad with Electron.

I don’t really mind Electron myself because I have enough resources. But pretending the lack of optimization isn’t a real problem is just not right.

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-6 points

First of all, 350MB is a drop in a bucket. But what’s more important is performance, because it affects things like power consumption, carbon emissions, etc. I’d rather see Slack “eating” one gig of RAM and running smoothly on a single E core below boost clocks with pretty much zero CPU use. That’s the whole point of having fast memory - so you can cache and pre-render as much as possible and leave it rest statically in memory.

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6 points

CPU usage is famously terrible with Electron, which i also pointed out in the comment you’re replying to. But yes, having multiple chromium instances running for each “app” is terrible

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-6 points

No, it’s not.

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2 points

First of all, 350MB is a drop in a bucket

People don’t run just a single app in their machines. If we triple ram usage of several apps, it results in a massive increase. That’s how bloat happens, it’s a cumulative increase on everything. If we analyze single cases, we could say that they’re not that bad individually, but the end result is the necessity for a constant and fast increase in hardware resources.

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1 point

People don’t run just a single app in their machines

That’s not bloat, that’s people running more apps than ever.

the end result is the necessity for a constant and fast increase in hardware resources.

That’s not true. 8 to 16GB RAM machines became common in early 2010-s and barely anyone is using 32 gigs today. Even if we look at the most recent Steam Hardware & Software Survey, we will see that even gamers are pretty much stuck with 16 gigs. 32 gigs are installed on less than 30% of machines and more than that is barely 4%. Ten years ago 8 gigs was the most common option with 12+ gigs (Steam didn’t have 16gig category in 2014) being the third option. The switch to 16 gigs being number one happened in December 2019, so we’re five years in with 16 gigs being the most common option and more RAM is not getting anywhere close to replacing it (47.08% for 16 gigs and 28.72% for 32 gigs as of May 2024).

Now if you look at late 90-s and 2000-s you will see that RAM was doubling pretty much every 2-3 years. We can look at Steam data once again. Back in 2008 (that’s the earliest data available on archive.org) 2 gigs were the most common option. Next year 3 gigs option got very close and sat at 2nd place. In 2010 2GB, 3GB and 4GB were splitting hairs. 4GB option became the most common in 2011 with 3GB variant being very close 2nd place. 5GB option became the king in 2012. And the very next year 8 gigs became the norm.

So, 2 gigs in 2008, 4 gigs in 2011 and 8 gigs in 2013. You can check historical data yourself here https://web.archive.org/web/20130915000000*/http://store.steampowered.com/hwsurvey/

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1 point
*

When (according to about:unloads) my average firefox tab is 70-230MB depending on what it is and how old the tab is (youtube tabs for example bloat up the longer they are open), a chat app using over 350 is a pretty big deal

just checked, my firefox is using 4.5gb of RAM, while telegram is using 2.3, while minimized to the system tray, granted Telegram doesnt use electron, but this is a trend across lots of programs and Electron is a big enough offender I avoid apps using it. When I get off shift I can launch discord and check it too, but it is usually bad enough I close it entirely when not in use

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0 points

Telegram is using only 66 megs here. Again - it’s about content.

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1 point
*

Just wanted to point out that the number 1 performance blocker in the CPU is memory. In the general case, if you’re wasting memory, you’re wasting CPU. These two things really cannot be talked about in isolation.

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1 point

No, that’s the other way round. You either have high CPU load and low memory, or low CPU load and high memory.

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