- everyone assumes their program / website is the only thing running at the machine at a given time, and dev machines are always more powerful than user machines
- it's not really lack of advanced data structures and algorithms that result in the bloat most of the time but the fact that programs and websites are delivered by large teams, there are dozens of submodules that are often loaded even when not needed, and doing it properly is hard to architect to without getting into big complexity and gnarly bugs waiting to happen when someone from other team modifies something and does not know full picture. So it's cheaper to just keep things the way they are to reduce complexity of architecture and fragility.
The main place RAM usage is going to get optimized is on the server side, because the client's RAM is a tragedy of the commons. If you're reducing RAM usage while your competitor adds features then the extra RAM saved by your app will just be silently allocated to theirs, the device won't feel any different and the user will prefer your competitor. There is little incentive to optimize RAM usage on the client side because it only helps other companies, so nobody does it - except (ironically) browser devs, who tend to assume they have first dibs on all the RAM of the device.
If you really wanted people to care about it OS devs would need to surface memory usage of apps visibly in a way ordinary users can understand and translate to customer feedback forms, which is difficult.
> the fact that programs and websites are delivered by large teams, there are dozens of submodules that are often loaded even when not needed
Precisely this. We had an incident once where a CSV had a postal code field be interpreted as an integer by pandas, which of course results in stripping any leading 0s. After looking at what the code needed to do, I asked why they were using pandas in the first place, as it was literally just “read the CSV as-is into a list.” Guess what Python’s stdlib csv module doesn't do? Type inference.
Instead of replacing the unnecessary pandas import (which brings along a fairly heavy transitive chain) with stdlib, they added additional code and tests to ensure this wouldn’t happen going forward.
Some devs learn by trying. Others learn by reading docs. Most seem to learn by reading blog posts that use unnecessary 3rd party packages.
It's definitely possible, but I agree with many other commenters it probably will not happen.
I wrote an encrypted mesh networking library that runs on normal operating systems. A customer asked me if I could make it run on an ESP32 with 520 kiB of RAM. At first this seemed impossible, but it turned out that it was, and not even that hard. While the original library was not memory hungry at all for a desktop CPU, it still wasted space on unnecessarily large buffers. Cutting those out made the library run on an ESP32 while leaving plenty of room for an application.
Also, my first PC was a 200 MHz single-core 32-bit AMD k6 with 32 MiB of RAM. This ran a graphical OS with browsers, word processors, 3D games and so on. Nowadays you can get a CPU with more than that amount of RAM as just built-in cache.
So a good place to start optimizing code would be to actually get a "severely resource constrained" computer and start making your code work on it.
Some programmers will write more efficient code. At my $dayjob (one of the big tech companies) we're already planning a major goal next year of optimizing server code to reduce RAM requirements, and this is directly in response to the crunch.
In practice I expect most optimizations will come from "stop doing stupid stuff" and not "use fancy advanced algorithms." But that's a cynical perspective so don't be cynical like me.
Real, there are so many low hanging fruits for optimization but no one has time to do them. And they don’t incentivize spending your time on it either.
If the CEOs are to be believed, then 75% of all new code in Google is AI generated. 46% of GitHub internal code, and roughly 30% across all of Microsoft is AI. Meta expects at least 65%, and snap reported 65% is AI generated.
in aws, some of the core bedrock services have been replaced with the new serving architecture. that thing was written basically with LLMs.
mind you, guy's a distinguished engineer, his team was basically all principals, but you can do it and some of the new teams are copying the style (though with less success, due to lack of technical skill).
> There's nothing more permanent than a temporary fix.
That should be one of those Tech culture “laws.”
I suspect that the dependapocalyse is a significant factor. When every part of an operation has multiple context rebuilds, and resources are not shared across module boundaries, you get inefficient behavior.
But I’m skeptical that there’s a will to rethink that.
Totally agree. In these days of fast devs it's common to see PO's excitement reducing deadlines and assumimg a dev can deliver 5 feats in a day instead of trying to stabilize and fix bugs. Sad
Honestly, after years of seeing this play out, a lot of devs really lack the judgement to know when something is good enough to deliver and will endlessly delay projects to “ do the right thing”
Absolutely. It’s one of the defining characteristics of what makes someone a capable senior in the role IMO.
I have known a lot of extremely talented developers, some with more technical skill than me, that simply failed at their job because they couldn’t come to terms with the fact that their job isn’t to produce the most perfect code possible for the problem.
In my experience, I have only developed internal enterprise software for my entire career. Most of this stuff is gloried CRUD. Above all: Ship early and ship often. You don't get paid more for having less bugs. (Of course, don't ship crap, but you don't need perfection.) Also, often the specs (in my line of business) are unwritten, so you learn more by releasing quickly, then watching (internal) customers use the product and provide feedback.
The key word here is “server”. Optimizing memory server-side directly translates to cost savings for companies. There is a lot less incentive to optimize memory for code that runs on the user’s computer.
> Optimizing memory server-side directly translates to cost savings for companies.
Only if those cost savings exceed the cost of development. Optimisation work is usually done by the most experienced, and hence most expensive engineers. It is also possible that the optimisation efforts will fail to produce meaningful results. In my career, I have seen more optimisation efforts fail than succeed.
That's a clever observation and is very true. Development time tho historically was also very expensive hence push for easy to work with dev stacks such as js
It is typically hard to directly attribute churn though, whereas some massive EC2 instance costing you $30/day is a clear line item where cost savings can be measured easily.
Programmers will write more efficient algorithms if their employers tell them to trade time-to-market for hardware cost. Previously, it was trade hardware cost for time-to-market.
"Programmers" don't make this decision, the product owner does.
The classic excuse for industry-wide incompetence. The average programmer today can't write good code even if told it's an explicit priority.
The manager wants the Submit button to submit the form, they rarely care how the programmer does it. It's the programmer that chose to install the 11,000 node_modules, to use React with 3 layers of state management on top with hybrid SSR/CSR and to do Kubernetes because that's what was on Hacker News that day or whatever. And guess what, somehow the Submit button does still not submit the form 10% of the time.
Get rid of the junk and the program will be more efficient AND you'll ship quicker.
I suspect you're imagining something like, just write some vanilla JS and maybe some tasteful but not bloated CSS.
You could do that. Then I'll come along with my old man Win32 skills and write a form with a submit button that sends the data by doing a memcpy into a UDP packet. It will take 300 kilobytes of RAM and start in 0.1 seconds. That'll make it approx 100x more RAM efficient than the baseline you can manage with Chrome, where an empty renderer process takes 23 MB of RAM to achieve nothing and starts so slowly the browser has to cache them in the background.
On the other hand, delivering features your users expect might be a bit harder. Shipping and updating that app will be painful for me, unless I use [plug] https://hydraulic.dev/ to make it easy [/plug], and the styling options are limited to setting solid color backgrounds on things. Things the product manager views as basic, like adding a dark mode, will take a surprising amount of effort. The app is likely to be more crash prone than the web app due to all the manual memory management required. Text zoom won't work. I'll have to write in C or maybe C++ if I'm feeling extravagent.
So there's got to be a balance somewhere. Features do matter.
"The boss" is not who says what is good enough. Ultimately it's the customer. In many industries it seems good enough is not very good.
Then there are industries where the customer complains if code is slow. They will actually hire expensive consultants to analyze and benchmark the code. And while the consultants likely are not more talented than inhouse staff, now you have both sides very interested at looking at the problem from engineering perspective.
I have a feeling that the bloated frontend is one of the mayor problems. We should get rid of html, CSS and JavaScript and implement something that could mix all of the above in a single spec and could be implemented using a VM with limited memory/instructions and still render a page one can interact with and use for control of for instance appliances.
The language doesn't matter much if you have memory-hungry workloads. Whether it's Rust or C or C#, you can write quite memory efficient code in either.
Most apps don't need much at run time though. There may be a big database somewhere, but the majority of SaaS apps are just some form of CRUD with a clever twist that might change the data occasionally, but doesn't use most of it when you render a page. The user data required for any given page is dwarfed by the memory required to run the language that converts the data to an HTML view.
For example, if you're rendering a user account page that has 100 data fields (name, address, etc), that's a few kilobytes at most. If your code is using Node of PHP you're probably using tens or hundreds of megabytes, possibly gigabytes, to turn that into a stream of HTML to send to the user.
I suspect using Claude to turn all the Node and PHP apps in the world to Rust or Go would massively reduce the necessity for huge datacentres using terabytes of memory.
Yes, but that doesn't determine the technical stack. It only narrows it down. You could just as well use C, C++, Rust or even Go depending on the device the program needs to run on. The device may have constraints as well but those are technical limitations and still not the responsibility of the product owner.
I have never worked for a company where the engineers choose the technical stack. It’s always the architect, the CTO or the mother company that decides what technology to choose. Could be a German/Dutch cultural thing though.
Depends on a type of company, I work at a mid-sized startup and through lifecycle of this company there were times when we've had architects and there were times when we haven't. Rn we don't have and a lot of decisions is made within teams and we just try to keep communication about what's needed for business tight
Understandable. I worked mainly for 100+ people companies and the tech stack impacts team interoperability, hiring, licenses, life cycle management etcetera.
Platforms are often part of the business requirements.
If you're working on SAP or Salesforce, the language decisions are already made for you. If you're integrating with an existing Electron runtime, then you'll be using something in the JS family, like it or not.
> Choosing a programming language is not a business requirement; it's a technical one.
Technical decisions like this have to take into account a lot of factors outside of just the language itself.
Is the language you want to use easy to hire for? Will we have to pay a premium for engineers with a specialised background in the language? Do all our 3rd party dependencies maintain SDKs for the language? Do libraries that meet various certifications we might need (i.e. FIPS) exist for the language?
Something like Typescript or Java is going to win out over Rust/Erlang/FP-of-your-choice on a number of these criteria.
The programming language can have definite business impacts. It can impact hiring, salary costs (if the skill is rare), ramp-up costs (if it needs to be taught), etc.
Software engineering is an important skill to recruit for. Too many times I see "Java Developer"... Like, do they only know Java and are absolutely incompetent when it comes to something else?
I don't even want to recruit or be recruited with such a title.
Yes, but even then there are people who will ramp up faster.
If the company is using Common Lisp, do you have the 6-12 months to wait for them to ramp up, or do you hire someone who has done Lisp before? That is downstream from the technical decision to use Common Lisp, but it is a huge business impact.
"will they" seems like the least interesting/useful question though. How can we, e.g. raise awareness in users and programmers that this is possible and useful?
I wanna hang out with coders who care, I wanna read articles about caring and how you can achieve more with less code, and I want to see video content that visualizes the sheer insanity of it all. Like those "scale of the universe" videos, except the complexity isn't fascinating, but embarrassing.
Make it uncool, make software bloat a goober thing you people do at most because they "have to", for pointy-haired bosses, or because they're in a rush or under other constraints. Not something that just gets normalized because hey, thinking is hard, caring is hard, so let's all conspire and pretend we're not being deplorable slobs, under the "leadership" of even worse slobs. There is little technical difficulty here, it's mostly social. Ignorance and greed are in cahoots and don't want to get called out, so call them out.
Though I think to start with, you have to not give a shit about the majority, and huddle with people who care and make better things. If the majority comes around, great, if not, still better than standing on the beach, wondering if the ocean will ever spontaneously take this or that shape.
Even today it is possible to use languages and programming techniques to be ultra efficient when it comes to memory. It's not that difficult to use them but the world don't care.
Actual example: I have built same utility using Rust, Zig and Haskell (and Go, humorous writeup[0]). Rust binary is 450kb, Haskell binary 30mb. Zig was unfinished but I constrained memory to 512kb just for fun.
Thus it's not about memory per se but more about convenience. Many applications could be scaled by 1-3 degrees of magnitude in memory if they reused techniques but... no one cares.
4K resolution frame is ~40mb uncompressed. Another 10mb is 80k lines of text. Thus fitting in 50mb for 99.8% of applications should be perfectly doable with today's tech.
If the price increase would be per each next 1mb then maaaaaybeeee. But if it's like 100% over GB then I'm sure it won't have any impact.
If that happens, we will see it in triple-A games first. If some new titles have significant lower hardware specs than expected.
If buyers can't afford the hardware anymore, the studios need to adjust. It's definitively possible to scale games down a lot. There are a few AAA games that were "dumbed down" for the Switch 1 (Hogwarts, cyberpunk, ...). And that's a really low-spec device.
There are two factors: existing gamers not able to afford upgrading. But also new gamers, that might only be able to afford much lower spec PCs than people who bought 2 years earlier.
Why games? Because there is a clear point where people stop buying games. Minimum hw specs are known before buying.
> If that happens, we will see it in triple-A games first. If some new titles have significant lower hardware specs than expected.
Recently I booted up Insurgency: Sandstorm. With a 5800X and an Intel Arc B580 at 1080p and high graphics, the game runs at around 200 FPS. Meanwhile, pretty much any modern UE5 title (with the exception of Ready or Not and Split Fiction, from what I've seen) runs horribly - the interesting thing is that no matter how much you tweak the .ini files or change the graphics settings you can't get something like STALKER 2 or The Forever Winter or Borderlands 4 to run as well as UE4 with the graphics similar to those old games. Instead you get something that runs at like 10% of the render resolution and still doesn't get 60 FPS (I'm not exaggerating, literally the performance I got in The Forever Winter).
There's no good technical reason for things to be that way (Unity still exists, and the games made in it struggle less) other than the devs or the higher ups choosing higher fidelity but more expensive rendering technologies and using upscaling and framegen not as something that helps laptops or when you need the spare GPU capacity (e.g. encoding a video recording of the game), but rather as something that's supposed to be used to even get to 60 FPS in the first place.
I don't know what needs to change for things to get better.
I also don't see anyone particularly caring about regular software, Electron et al are just too convenient to develop in (having to create per-platform UIs sucks in already-overworked teams).
>There's no good technical reason for things to be that way
Of course there is. What people gets presented is look how new graphics is shining. What devs get presented is look how much less manual work you need to get this graphics out of the door. Look at any UE5 presentation aiming at devs. You will be able to see a lot of 'just do this and technology will handle the rest of it'. There is no going back to manually making 3-5 replacements for each and every thing in the game. And the same goes for lights every few meters of a game world.
As a gamedev I don't really care about the regular software. You can see that the main problem for devs is to get paid for it. All kind of schemes with subscriptions and online services and such were tried. People just don't want to pay for the software. The mentality is 'we will get it for pennies on a sale' is the same like with the steam sales. Or even worse people will choose 'free' version with 'promotions' and data collection and whatever else that saves them pennies. Look at 'free to play games' steam category for the example of the horror show.
Oh and I don't think devs are the saints there. You can find a lots of examples that prey on gullible customers or trick people to buy 'digital goods' they don't need or outright bad things with gambling addictions and more.
The only thing consumer can do is to only vote with their wallet and push their representatives to regulate. The stop killing games is an example of the latter. The former is often deemed inefficient but Imho it is the only thing that will separate surviving studios and the shattered ones. As you may see in the press the names and past successes don't save studios from closing their doors now.
> I don't know what needs to change for things to get better.
Studios need to start creating custom engines again, for one. We'll get better games with less unsatisfying jank, some of the projects will actually cost less (which is paradoxical to some) and performance is likely to jump significantly. Off-the-shelf engines have as many costs as they have benefits, but like a lot of technology people refuse to look at the choice as a trade-off, and to the extent that they acknowledge it's a trade-off the implicit admission is always that it's a trade-off that the user/player is paying the most for, so it's OK.
If companies start creating custom engines en masse again it will also help solve part of the competency crisis in the industry, because they'll be forced to actually learn and educate people on how things work.
Yes, Lumen (and raytracing in general) has a performance overhead. If you don't want that you can skip that feature. Split Fiction and other games choose to do so.
I think certain games like Robocop are awesome on UE5.
> If you don't want that you can skip that feature.
Unfortunately, for the consumer this can also mean skipping some games altogether: for example, I might not be able to play the latest Indiana Jones or Doom game because they refuse to let RT be disabled (unless they get enough pushback, but we can all see where things are heading).
At least there are some (usually indie) games that let you do that, like Incursion: Red River but even with Lumen and other features turned down, the performance is still worse than UE4 games of comparable scene fidelity (not necessarily complexity). I think the industry might have jumped into Nanite and all the adjacent tech way too eagerly.
No reason to see it in AAA games. They already have to run on Series S, which has ~8 GB usable memory. Consoles are the primary target for any game (if they are not, it is not AAA). So minimum specs remain relatively static through a generation.
I hope we continue local gaming, but my gut tells me we are going to see the opposite. I'd be willing to place a big bet on the new XBox leaning heavily into streaming, like GeForce now. Studios still get to build big, and the consoles get to rent hardware to you now, basically a wet dream for them.
hardware costs must come down or every consumer segment is going to be renting, not owning, everything.
I wouldn’t be surprised if they try but I think the game streaming business model is mostly dead. Stadia was a huge flop, PlayStation has streaming for previous gen games and it sucks, Xbox also has a streaming offering but I haven’t heard anything good about it. It’s a bad user experience and a significant cost to the company providing the streaming.
If you listen to gaming Youtube then the gaming industry is already in trouble from hardware costs and availability. I'm not sure if they are making a mountain out of a mole hill or not though.
I don't know if I buy it. In the last few years the AAA gaming industry has turned out a lot of bad games, and that probably explains most of the trouble.
Are programmers and their use of data structures driving up storage requirements in games though? Or is it just high poly models and high res textures?
Helldivers 2 was in the news a few months ago for "optimizing" and saving over 130gb of disk space required for installation or something to that effect. In actuality, what they did was remove an "optimization" they had implemented without ever once benchmarking and realising it was making things significantly worse. The software development industry is a freaking wreck filled with easy opportunities for improvement if only anyone gave enough of a shit about their consumers to profile their code, ever.
I guess it's not just models and textures. Those should be the easiest to dial down, even optionally with a "low" setting. Maybe making high-res assets an optional download, to reduce game size (ssds are also getting expensive)
> There are two factors: existing gamers not able to afford upgrading. But also new gamers, that might only be able to afford much lower spec PCs than people who bought 2 years earlier.
Spot on.
Now with LLMs and desktop app libraries such as Tauri, there is little excuse in choosing Electron to build memory hungry apps other than laziness.
I'll just recognise that I'm old (and a bit grumpy): back in the day, if you didn't write minimally efficient code, it simply wouldn't run or it would be terribly slow.
Young devs have not been exposed to this and they can get away with writing inefficient code most of the time, sometimes all of the time.
And even if there is a RAM shortage, we are still in the Gigabyte age. So I don't think we will go back to cycle and byte counting.
I can't even get some devs to care if their query runs in 3s or 8ms.
I don't think we will in the HN snark sense of "this react site or electron app uses way too much memory". Those companies will continue to work in the same way, maybe even less efficiently as people chase modern UIs with extra animations or videos or effects, or with some AI code generation tacking on too many features or tech debt.
In specific sectors I do think we will see more optimization. If you're working on cloud compute or AI training / large scale data processing, there will be a big focus on optimization as prices are very large at that scale and shortages have a bigger effect.
Also in gaming I think the next cycle will be different. Big game studios used to push for the best possible graphics that might require the newest consoles or high end gaming computers, but the next releases might not be as much of an upgrade. The next gen of consoles or graphics cards themselves might be delayed, or be less powerful, or be too expensive and flop, as chip manufacturing companies continue focus on more lucrative markets and leave average consumers behind.
In particle physics, processing jobs face a limit of about 2GB/core. This is driven by the realities of "grid computing". The hardware in the computing facilities have approximately 2GB/core and jobs allocate based on number of core. This ratio has been fairly stable for a long time. Some facilities may have a bit more RAM per CPU core but 2GB/core is the general rule of thumb. I hazard a guess that this will not change throughout the (hopefully small number of) years that this memory cost bubble persists. In fact, the increase in cost may lead some facilities to keep older hardware going beyond its EOL/warranty period, prolonging a ratio that may actually be relatively generous compared to today's hardware systems.
As a consequence of this fixed RAM/core ratio, substantial software development effort goes to either making jobs fit in 2GB or if that is not possible then to utilize multithreading. Generally, particle physics processing does not particularly benefit from MT except in this fixed RAM/core situation. Sometimes large memory jobs are needed (inherently or because of bloat that is too costly to improve). When run on the "grid", these jobs must allocate multiple cores just to get "their" memory. If those jobs can use the extra cores, overall throughput does not have to suffer.
That's for conventional software, which still makes up the bulk of the computing. The situation for the growing amount of GPU-accelerated software is different and more varied. One trend can be seen relating to VRAM. Research groups with easy access to big GPUs like A100 write code to fit or exceed the relatively copious VRAM limits of the data-center GPUs, while groups that lack easy access to DC GPUs but have access to more modest "gamer" GPUs write more advanced software that can fit the smaller VRAM. In some cases, they write the software so it can scale the computation, keeping GPU utilization high while staying just under the VRAM limit.
General budget crisis and limited resources in the particle physics field are in part responsible for all of this tailoring of the software to fit the hardware. If better funded, particle physicists could spend more time doing physics and less time squeezing last drops of processing power.
> Will programmers write more efficient code during the memory shortage?
If we can insert "some" then Yes.
> use of more advanced algorithms and data structures that use less memory?
I don't think so.
At least at work there is a push to decrease memory usage but the way I've seen it playing out is not using some O(N) data structure instead of O(N lg(N)) per-say but instead replacing `int[]` with `byte[]` or in-lining some fields to remove some indirection costs.
Until prices hit the large hyperscalers, I don't think most people are going to make significant changes. You might see a small set of open source projects related to self hosting put in an effort, but in general, I don't think so.
Some big-tech orgs (that have their own hardware) will take costs into account, but they already do that. The "optimization" is more likely to be business-optimizations; "this can be slower if it uses less memory", rather than inventing new stuff.
Note that I am excluding any of the big AI labs. They are definitely going to be working to figure out how to use less memory, but that's primarily not related to the direct cost.
Unless there's an actual financial metric to hit: no.
For most people; computers just suck now.
I work in AAA video games, and I'm often told that consoles hold back games. This is true in the most essential sense: for consoles we are forced by the first-parties to optimise our games so that they function on consoles at a reasonable framerate with not hitches.
Those optimisations help PC players too; and they have more hardware headroom so they can crank things up even higher: without those constraints games would be much heavier and would require you to be on a faster moving hardware cycle.
The same is true when I worked in ecommerce; there was a common verbiage which I don't remember verbatim but the spirit of it was "we lose 10% conversion every 100ms" - so we built our systems to do as much as possible within 100ms (including network RTT).
If people actually have target hardware, and a metric that they're pushed towards, it can happen, people can learn how to navigate the abstractions or do better with the abstractions they have... but I think this wont happen, because in the examples above there was an actual cost to things. Conversion rate is money, not being permitted to launch on console is money.
But you know what modern MBAs see as being money? Time to market & developer salaries. If every company has the same mentality: then it doesn't affect conversation in the same way. Those exogenous constraints simply don't exist in the majority of technology today. It's like a collective action problem.
If there was going to be a collective action against this for financial reasons we would have seen it, shipping laptops with 16G of RAM instead of 4G (or 8G) has a really large headline cost in a company of a few thousand people; but those companies never pushed hard on Teams or Slack.
I expect mobile OS and maybe mobile app developers to do so.
Google has already downgraded memory for their upcoming Pixel 11 while at the same time imposing local running models as a first-class feature. Both decreasing the memory pool and increasing the demands on it.
The key is that they own the full stack (hardware and software) and can demand the OS be more efficient, along with perhaps forcing that goal on app developers as well via tightened background limits etc.
This isn't where memory goes or real-world speed comes from. For most applications, it's abstractions like React running in electron that hurt performance. There are also richer resources backing parts of apps--higher resolutions, better quality, higher framerates.
In my experience advanced algorithms and data structures are almost never needed. You need simple data structures and algorithms and understanding of the environment in which you are running (for example see https://handmade.network).
> bundling Chromium to make a chat app is the problem.
Precisely. And all that extra resource wastage is completely free! (paid by your customers).
Perhaps if there were any big software companies who were so iconoclastic as to write fast software and avoid wasteful patterns like using Electron, pressure to do better could be felt, but every company that ships software[1] behaves the same so if anyone tries out competition due to performance beefs, they'll have no relief. They'll be forced to blame their hardware and upgrade it.
[1] Only exception of course is some indie developers. I don't know of any companies that have more than about 2 devs who haven't adopted the 'modern' approach, where we only fix performance issues that completely block using the app.
I might be wearing my tinfoil hat too tight, but I think that market pressure will continue prioritising shipping worse code faster, especially now that with AI it's possible to ship code really fast. The "solution" to expensive hardware will be way less capable hardware and we'll end up with "thin clients" and all compute will happen in centralised "clouds". I hope I'm wrong
I would say that in most cases you dont need fancy algorithms and data structures, you just need to stop treating RAM as a rough notebook. Allocating in a loop, not reusing buffers and pointer chasing are a performance killers and are quite easy to avoid before they are introduced to code. Other than that, just be more thoughtful about network and disk usage and nested loops. Its a sum of stupid things that make your program slow.
We sill probably see an increase in the use of OS-level memory compression tricks instead - things like zwap on Linux, for instance. Because the trend is usually to cure the symptoms, not the cause, as it is generally easier to set up and good enough. Makers who already have invested on memory-careless tech such as Electron won't rewrite; at best they'll just be replaced by better alternatives.
Realistically, the impetus here will come from the platform holders, not the individual programmers.
Apple recently released an 8GB MacBook Neo, which bucks the previous trend of increasing RAM in low-end SKUs, and signals that software needs to be prepared to run in that configuration for a long time to come. I expect we'll see similar moves in smartphones if RAM prices stay elevated.
you are assuming this is a new problem to be 'solved'; folks working on the embedded systems, and network infra headless systems have been wiping this surface clean for many decades;
stepping outside of garbage collection, and managed runtime systems could teach a lot; there was a book written 20 or so years ago;
For this incentive to exist, the app needs to be such an obvious memory hog that users start identifying it as the source of the problem.
Even then, a lot is required for most businesses to prioritize this (presumably) temporary issue at the cost of things like: participation in the AI race, other features, bug fixes, new markets etc.
Heck, sometimes software is so inefficient that it costs developer and tester productivity but a fix is not prioritized for years.
Your response suggests that you're only considering native apps where users can view memory usage.
For cloud apps where the costs are largely hidden from users, the user has no way of doing that analysis. I agree with the second part of what you said, though: I expect businesses to just raise their prices in those cases rather than systematically focus on actual difficult engineering problems.
For cloud apps incentives are aligned already. The cost of memory usage falls on the people who are both paying for it and can control it. It's only really on end user devices where it's a problem, and only really on desktop class machines. iOS and Android were built in a RAM starved environment anyway and aggressively kill any non-foreground process that is using too much memory.
You don't save memory with code, you save it with architecture, platform decisions, and feedback loops.
Feedback loops are the important bit. If you want to reduce your service's memory footprint, don't at the code look at the memory profile and monitoring. You will find something like "oh shit 30% of our RAM is used by these buffers that we could basically eliminate if we tweak the flush frequency".
If you automate/regularise those investigations you will get an efficient service.
Same is true of every other performance metric, and reliability. It comes from your engineering processes (alerts, qualification, prod experimentation) not "write better code".
I've dumped python for anything that doesn't involve scipy / pytorch in favor of go. So yes, I'm having my llm's output go now which is generally more memory efficient than python.
Python isn't even that bad, I have python desktop apps that use 50mb of memory. More than needed but not 1-2gb realm people complain about with electron stuff.
Programmers might write more efficient code if the performance was unacceptable on their own laptops, but even in the not-flush-with-cash companies I've worked all my career, it's been easy for me to always have a dev laptop with twice as much RAM as most consumers have. I'm presently working on a laptop with 64GB, and we don't even use any local AI models. If a PE company is willing to spec dev laptops like this, even in the memory shortage, then I assume the memory pressure will never hit developers.
So, this carefree attitude directly shapes all code that runs client-side (JS + native apps) since the only impact on the company is whatever happens on the dev's laptop. The rest of the impact is "free" since it's paid (in either money or in misery) by customers.
For server side, I also highly doubt it, as being more memory efficient on the server side has always had a benefit to the company who pays the bill. The only things that may change may be the relative cost, but if management comes and says "AWS bill going up, help?" devs will say "OK, we can find ways to save RAM, but the team won't be doing any new features or fixing any customer-facing bugs during that time" and management will say "Okie dokie, we'll just pay the bigger bill then."
One can certainly wish, but I am inclined to believe that RAM use isn’t just about sloppy programmers. I think it is, to a significant degree, about the kinds of problems we solve now that we have more RAM.
And not all exorbitant RAM use is about sloppiness. Sometimes you can trade more RAM use for lower complexity. Bugs and development time were expensive. RAM was not. So sometimes there is calculation rather than sloppiness behind certain types of heavy RAM use.
I'd hope so. Not just because of the memory shortage, but because of the speed at which AI can help write code. Most high-level languages came about in order to speed up development, at the cost of performance and resource consumption. It's time to revisit some of these applications and see if we can use less resources to accomplish the same task. My work laptop with Teams and 2 Edge tabs open uses roughly 11GB of memory, which is insane.
If memory shortages were not caused by AI then may be (but still unlikely). In the current situation even cautious in the past companies are switching to “move fast and break things” mode to not fall behind vibe coding competitors. When the velocity is the top priority there is no time fo efficiency.
They might, but the final outcome of that depends on whether the tokenmaxxing rust-using zero-user startups are using more memory in ci/cd than the users of efficiently written successful apps are using in production.
The memory shortage is really for these insane memory requirements for LLMs.
A web browser and the basic mobile app will be fine.
The iPhone 17 Pro has the most RAM and it's only 12GB. Hell the iPhone 16 Pro only had 8 GB. The vast majority of consumer cases don't need it. I doubt Apple and other manufacturers will go beyond that to keep prices down.
No, even at these high memory prices it's cheaper to produce code as fast as possible than to spend the time to optimize it for efficiency. It has always been the case that hardware improves at a faster pace than software. So what will happen is that we will get tech improvements in hardware that will reduce its price faster than we can write software to fully take advantage of the hardware. The current bottle neck that's causing the spike in memory prices will subside relatively soon so we'll be in better shape before we know it.
Will we? I don’t think new capacity will come online for several years and at the current rate there’s not a lot of evidence that the new capacity won’t simply be scooped up by the big data centers like they are now. At the very least we’re in for a rough 4 years at least
I certainly hope so, it's cheaper than ever to write native code, but if sub-trillion dollar valuated companies like OpenAI have done the math and still use electron for the codex app, one has to ponder what was considered.
People did not bother and then the Web made everything worse. We are now so used to layers and layers of abstraction, humongous libraries and frameworks that most do not know anything about how to write "lean" software.
Nothing is going to change in the application/services layer.
But I’m hopefully optimistic that we’ll see a renewed emphasis on speed and responsiveness, since users do notice that despite most products ignoring it.
Backwards thinking programmers might (there is currently plenty of memory efficient software; but it's always missing that feature you really need funny how that works). Forward thinking ones will realize we are heading towards the glut of all gluts and buy 4TB to play around with.
If the producers see a long term demand for memory they will meet the challenge and produce enough to bring prices down.
Economics will invariably alleviate the memory crunch. It just takes long and requires a huge upfront CapEx.
They have been burned in the past and are hesitant to over invest, worried that the bubble might burst.
I expect high prices to stick around for a while, but I would be surprised if this was permanent.
Which means to me, that price pressure probably won't be the driving force for writing more memory efficient software.
For those who want, I expect AI to make it easier to do that, assuming it's done right, i.e. not vibe coding it.
If you have a subscription to The Economist, I recommend listening to this Money Talks podcast. They talk about the shortage and the economics behind it.
Two Chinese chip makers—CXMT, the country’s top DRAM producer, and Yangtze Memory Technologies, which focuses on NAND storage—are growing fast and want to expand their global clientele. China is the closest thing to a quick fix for the chip shortage, but the solution is at best partial.
Yangtze Memory is building three new factories in China that would more than double its current capacity by the end of 2027, people familiar with the plans said. Meanwhile CXMT is seeking to raise $4 billion in an initial public offering in Shanghai, and it is building new factories. It said its revenue rose by more than 700% year-over-year in the first quarter of 2026, though it acknowledged that its products still trail those of the three industry leaders.”
Let me get this straight. We have a memory shortage due to AI slop which is not really efficient and to solve that problem we need to stop the AI slop and hand write the code.
I doubt many of the newer generation ever even tried. Maybe they had a course at uni where they did some C or Assembly, but that's probably the extend of it. So no, I don't think so lol.
> Will programmers write more efficient code during the memory shortage?
Yes. No. Yes.
I've worked in gamedev, helping ship code that ran on consoles. Nice fixed hardware targets. You OOM, you crash. We crashed a lot, and cut and saved and optimized and explicitly invoked the garbage collector twice on level transitions, because a single full scripting language GC doesn't work when finalizers must run to deref C++ objects to unroot script objects, and committed other horrific hacks.
The memory shortage may eventually impact fixed targets like this. Or the minspec publishers will swallow for fuzzier targets like "PC". But it takes awhile for new targets to roll out, and for newly bought PCs to make a significant dent on total percentage of PC ownership. Steam Machine's about to release with 16+8GB and while price and market saturation may be affected by the memory shortage, I'd be suprised if the actual spec changed.
> Maybe there will even be more interest in the invention and use of more advanced algorithms
Not for typical gamedev IMO. There the focus will be more on "reduce the amount of content loaded in memory simultaniously". That means less detail, smaller scale, or less variation. Going from 4096x4096 to 2048x2048 textures quarters your texture memory usage. The surface of meshes also has some square density nonsense going on. Basic animation tends to scale with bone count and keyframes, which are more linear, although shape keys are more per-vertex nonsense.
And of course, reusing the same mesh or texture multiple times doesn't use more memory, just more memory bandwidth.
Audio is more a factor of "how many sound effects (and variants) do we need preloaded just in case there's suddenly an event that triggers them".
These are the big ticket items for memory use and advanced algorithms don't help much. Rather, the algorithms help stretch whatever amount of memory you do have to provide the best amount of quality you can, and the small constant shift in total memory availability doesn't change the calculus for how important that is very much (which depending on the game ranges from "unimportant, everything fits in memory easily" to "critical, we're doing open world streaming and we've got terrabytes of raw data already, 16 vs 64GB of memory doesn't change that much")
> and data structures that use less memory?
Some bit packing type stuff comes up for smaller logical data structures in gamedev, and that can be useful for saving memory bandwidth, but I'm skeptical of how critical it is for total memory usage outside of the occasional Factorio.
Yes. Let's hope bloated frameworks like react, angular and vue with their dreaded hydration and ssr approaches will be replaced with pure clientside applications with stateless servers with small data apis only. That alone will reduce zeptibytes of memory requirements in the world.
Of course not. Why would they? The software nowadays is mostly written for people who already own computers with RAM already installed. Yeah, they probably won't upgrade for the next couple of years, so what?
Besides, have you heard about "virtual memory" and "swapping"? Nowadays, SSDs (and especially NVMe) are quite fast, so thrashing is much less of an issue.
You could be a senior dev with over a decades experience at this stage doing nothing but chucking react slop over the fence, performance may have never once come up as a consideration in that time.
I don't see the underlying economic dynamics of the relevance of substitution costs driving the way we do things going away. And substitution costs are all about limitations.
Abundance and limitations are a bit of ying/yang phenomena in terms of driving things, you don't have one without the other.
Igor Stravinsky: "Constraint drives creativity"
(I also don't see Amdahl's Law --which is fundamentally about limitations -- going away any time soon.)
I do agree that there are compounding abundancies present.
Nuclear-powered hyperscale data centers in your neighborhood disagree. Not saying it's a good thing, but like it or not, if you ask "what generally drives how we do things", that's probably it.
Lets all run a 1GB RAM Terminal application called Claude Code, because even the seven figure payed engineers at Anthropic with Fable and Mythos are too retarded to do any kind of reasonable engineering.
Depends entirely on how competitive / adversarial the market segment is. And there are wild nonlinearities, just as you care a lot whether or not something fits in an 8-way set associative L1d but once you're too big or bank conflicted to make it the cost model drops sharply until you're about to spill the L2.
The hackers doing the drone software in Ukraine will go to enormous lengths to get something onto Jetson Orin, but once it needs Thor? New cost model.
I think what the parent might be asking is whether the cost of DRAM will be passed along to the most powerless actor in the system, and that depends on whether it's a real competition (war, HFT) or a pillow fight between frenemies (consumer Internet, too big to fail AI lab).
Us liberals have this quaint idea that good referees make capitalism an adversarial contest instead of a rolodex contest, but that idea is out of fashion at the moment.
I don't believe so do for two reasons:
- everyone assumes their program / website is the only thing running at the machine at a given time, and dev machines are always more powerful than user machines
- it's not really lack of advanced data structures and algorithms that result in the bloat most of the time but the fact that programs and websites are delivered by large teams, there are dozens of submodules that are often loaded even when not needed, and doing it properly is hard to architect to without getting into big complexity and gnarly bugs waiting to happen when someone from other team modifies something and does not know full picture. So it's cheaper to just keep things the way they are to reduce complexity of architecture and fragility.
It's a bit more subtle than bad assumptions.
The main place RAM usage is going to get optimized is on the server side, because the client's RAM is a tragedy of the commons. If you're reducing RAM usage while your competitor adds features then the extra RAM saved by your app will just be silently allocated to theirs, the device won't feel any different and the user will prefer your competitor. There is little incentive to optimize RAM usage on the client side because it only helps other companies, so nobody does it - except (ironically) browser devs, who tend to assume they have first dibs on all the RAM of the device.
If you really wanted people to care about it OS devs would need to surface memory usage of apps visibly in a way ordinary users can understand and translate to customer feedback forms, which is difficult.
> the fact that programs and websites are delivered by large teams, there are dozens of submodules that are often loaded even when not needed
Precisely this. We had an incident once where a CSV had a postal code field be interpreted as an integer by pandas, which of course results in stripping any leading 0s. After looking at what the code needed to do, I asked why they were using pandas in the first place, as it was literally just “read the CSV as-is into a list.” Guess what Python’s stdlib csv module doesn't do? Type inference.
Instead of replacing the unnecessary pandas import (which brings along a fairly heavy transitive chain) with stdlib, they added additional code and tests to ensure this wouldn’t happen going forward.
Some devs learn by trying. Others learn by reading docs. Most seem to learn by reading blog posts that use unnecessary 3rd party packages.
It's definitely possible, but I agree with many other commenters it probably will not happen.
I wrote an encrypted mesh networking library that runs on normal operating systems. A customer asked me if I could make it run on an ESP32 with 520 kiB of RAM. At first this seemed impossible, but it turned out that it was, and not even that hard. While the original library was not memory hungry at all for a desktop CPU, it still wasted space on unnecessarily large buffers. Cutting those out made the library run on an ESP32 while leaving plenty of room for an application.
Also, my first PC was a 200 MHz single-core 32-bit AMD k6 with 32 MiB of RAM. This ran a graphical OS with browsers, word processors, 3D games and so on. Nowadays you can get a CPU with more than that amount of RAM as just built-in cache.
So a good place to start optimizing code would be to actually get a "severely resource constrained" computer and start making your code work on it.
Some programmers will write more efficient code. At my $dayjob (one of the big tech companies) we're already planning a major goal next year of optimizing server code to reduce RAM requirements, and this is directly in response to the crunch.
In practice I expect most optimizations will come from "stop doing stupid stuff" and not "use fancy advanced algorithms." But that's a cynical perspective so don't be cynical like me.
Real, there are so many low hanging fruits for optimization but no one has time to do them. And they don’t incentivize spending your time on it either.
Exactly. Customer's RAM is free to the developer.
Especially when LLMs are used to generate most of the code anyways in bigcorps
Is there a single example of a successful LLM project apart from Claude Code?
If the CEOs are to be believed, then 75% of all new code in Google is AI generated. 46% of GitHub internal code, and roughly 30% across all of Microsoft is AI. Meta expects at least 65%, and snap reported 65% is AI generated.
Its how software is built now in these palces.
Unfortunately doesn’t answer the question “successful LLM project”.
From what I’ve seen of GitHub and AWS this year the answer is no. That’s despite me being bullish on LLMs and finding them highly productive.
https://blog.joemag.dev/2025/10/the-new-calculus-of-ai-based...?
in aws, some of the core bedrock services have been replaced with the new serving architecture. that thing was written basically with LLMs.
mind you, guy's a distinguished engineer, his team was basically all principals, but you can do it and some of the new teams are copying the style (though with less success, due to lack of technical skill).
99% of my new writing is generated by scigen, but 0% of my successful writing.
Given the uhhh, quality and issues GitHub and Microslop have been exhibiting recently, that’s probably not a great indicator.
Github was down so much, I was surprised that they didn't use Copilot to fix their issues
Bun, Ghostty
“Stop doing stupid stuff” is usually the biggest performance gain in commercial development.
We do stupid stuff as a stopgap to meet a deadline and then stupid stuff stays until it starts being a problem.
There's nothing more permanent than a temporary fix. If deadlines are causing those stopgaps, the aggressive deadlines are the root problem.
> There's nothing more permanent than a temporary fix.
That should be one of those Tech culture “laws.”
I suspect that the dependapocalyse is a significant factor. When every part of an operation has multiple context rebuilds, and resources are not shared across module boundaries, you get inefficient behavior.
But I’m skeptical that there’s a will to rethink that.
Totally agree. In these days of fast devs it's common to see PO's excitement reducing deadlines and assumimg a dev can deliver 5 feats in a day instead of trying to stabilize and fix bugs. Sad
Honestly, after years of seeing this play out, a lot of devs really lack the judgement to know when something is good enough to deliver and will endlessly delay projects to “ do the right thing”
Absolutely. It’s one of the defining characteristics of what makes someone a capable senior in the role IMO.
I have known a lot of extremely talented developers, some with more technical skill than me, that simply failed at their job because they couldn’t come to terms with the fact that their job isn’t to produce the most perfect code possible for the problem.
In my experience, I have only developed internal enterprise software for my entire career. Most of this stuff is gloried CRUD. Above all: Ship early and ship often. You don't get paid more for having less bugs. (Of course, don't ship crap, but you don't need perfection.) Also, often the specs (in my line of business) are unwritten, so you learn more by releasing quickly, then watching (internal) customers use the product and provide feedback.
No deadline, no product.
Shipping is very important, sometimes more important than what you ship :)
In my experience, many of those deadlines are commonly the only reason the company continues to exist as well.
The root of the problem is much more deeply ingrained in our economic system.
The key word here is “server”. Optimizing memory server-side directly translates to cost savings for companies. There is a lot less incentive to optimize memory for code that runs on the user’s computer.
That's a clever observation and is very true. Development time tho historically was also very expensive hence push for easy to work with dev stacks such as js
There's plenty of incentive if it causes your users to churn.
It is typically hard to directly attribute churn though, whereas some massive EC2 instance costing you $30/day is a clear line item where cost savings can be measured easily.
even a lot of the fancy algorithms are ways to not do something you dont need to do, it's rooting out waste all the way down.
Programmers will write more efficient algorithms if their employers tell them to trade time-to-market for hardware cost. Previously, it was trade hardware cost for time-to-market.
"Programmers" don't make this decision, the product owner does.
The classic excuse for industry-wide incompetence. The average programmer today can't write good code even if told it's an explicit priority.
The manager wants the Submit button to submit the form, they rarely care how the programmer does it. It's the programmer that chose to install the 11,000 node_modules, to use React with 3 layers of state management on top with hybrid SSR/CSR and to do Kubernetes because that's what was on Hacker News that day or whatever. And guess what, somehow the Submit button does still not submit the form 10% of the time.
Get rid of the junk and the program will be more efficient AND you'll ship quicker.
How much "junk" do you want to get rid of?
I suspect you're imagining something like, just write some vanilla JS and maybe some tasteful but not bloated CSS.
You could do that. Then I'll come along with my old man Win32 skills and write a form with a submit button that sends the data by doing a memcpy into a UDP packet. It will take 300 kilobytes of RAM and start in 0.1 seconds. That'll make it approx 100x more RAM efficient than the baseline you can manage with Chrome, where an empty renderer process takes 23 MB of RAM to achieve nothing and starts so slowly the browser has to cache them in the background.
On the other hand, delivering features your users expect might be a bit harder. Shipping and updating that app will be painful for me, unless I use [plug] https://hydraulic.dev/ to make it easy [/plug], and the styling options are limited to setting solid color backgrounds on things. Things the product manager views as basic, like adding a dark mode, will take a surprising amount of effort. The app is likely to be more crash prone than the web app due to all the manual memory management required. Text zoom won't work. I'll have to write in C or maybe C++ if I'm feeling extravagent.
So there's got to be a balance somewhere. Features do matter.
What is "good code"?
If you ask your boss, it will most likely be whatever spaghetti code which ensures the contract gets signed on time.
The boss doesn't care if the developer needs 10000 libraries for the submit button.
"The boss" is not who says what is good enough. Ultimately it's the customer. In many industries it seems good enough is not very good.
Then there are industries where the customer complains if code is slow. They will actually hire expensive consultants to analyze and benchmark the code. And while the consultants likely are not more talented than inhouse staff, now you have both sides very interested at looking at the problem from engineering perspective.
In this case "good" includes performance.
I disagree. Engineers choose the technical stack based on the specs.
With LLMs, it's faster to ship even in a more verbose language like Go or Rust.
I have a feeling that the bloated frontend is one of the mayor problems. We should get rid of html, CSS and JavaScript and implement something that could mix all of the above in a single spec and could be implemented using a VM with limited memory/instructions and still render a page one can interact with and use for control of for instance appliances.
The language doesn't matter much if you have memory-hungry workloads. Whether it's Rust or C or C#, you can write quite memory efficient code in either.
Most apps don't need much at run time though. There may be a big database somewhere, but the majority of SaaS apps are just some form of CRUD with a clever twist that might change the data occasionally, but doesn't use most of it when you render a page. The user data required for any given page is dwarfed by the memory required to run the language that converts the data to an HTML view.
For example, if you're rendering a user account page that has 100 data fields (name, address, etc), that's a few kilobytes at most. If your code is using Node of PHP you're probably using tens or hundreds of megabytes, possibly gigabytes, to turn that into a stream of HTML to send to the user.
I suspect using Claude to turn all the Node and PHP apps in the world to Rust or Go would massively reduce the necessity for huge datacentres using terabytes of memory.
Except that most of the time a workload is made memory-hungry by terrible technical decisions ("self-describing" text data encodings come to mind).
And Java? Language matters.
I don't have any metrics in mimd but with GraalVM it's probably a much closer race. It's made by Oracle though...
The spec is the important part, though. If memory limitations are part of the spec, you're not going to choose a stack that will be too wasteful.
Yes, but that doesn't determine the technical stack. It only narrows it down. You could just as well use C, C++, Rust or even Go depending on the device the program needs to run on. The device may have constraints as well but those are technical limitations and still not the responsibility of the product owner.
I have never worked for a company where the engineers choose the technical stack. It’s always the architect, the CTO or the mother company that decides what technology to choose. Could be a German/Dutch cultural thing though.
Depends on a type of company, I work at a mid-sized startup and through lifecycle of this company there were times when we've had architects and there were times when we haven't. Rn we don't have and a lot of decisions is made within teams and we just try to keep communication about what's needed for business tight
Understandable. I worked mainly for 100+ people companies and the tech stack impacts team interoperability, hiring, licenses, life cycle management etcetera.
Who determines the specs?
Specs are business requirements. Choosing a programming language is not a business requirement; it's a technical one.
Platforms are often part of the business requirements.
If you're working on SAP or Salesforce, the language decisions are already made for you. If you're integrating with an existing Electron runtime, then you'll be using something in the JS family, like it or not.
> Choosing a programming language is not a business requirement; it's a technical one.
Technical decisions like this have to take into account a lot of factors outside of just the language itself.
Is the language you want to use easy to hire for? Will we have to pay a premium for engineers with a specialised background in the language? Do all our 3rd party dependencies maintain SDKs for the language? Do libraries that meet various certifications we might need (i.e. FIPS) exist for the language?
Something like Typescript or Java is going to win out over Rust/Erlang/FP-of-your-choice on a number of these criteria.
> Choosing a programming language is not a business requirement; it's a technical one.
Not solely. The business will have reasons to stay on a mainstream language, for example because
- it offers better guarantees for hiring maintainers in the future
- it has a higher likelihood that security issues will be fixed rapidly for free
- LLMs are better at maintaining code written in it
The programming language can have definite business impacts. It can impact hiring, salary costs (if the skill is rare), ramp-up costs (if it needs to be taught), etc.
Even bus-factor comes into it.
Software engineering is an important skill to recruit for. Too many times I see "Java Developer"... Like, do they only know Java and are absolutely incompetent when it comes to something else?
I don't even want to recruit or be recruited with such a title.
Yes, but even then there are people who will ramp up faster.
If the company is using Common Lisp, do you have the 6-12 months to wait for them to ramp up, or do you hire someone who has done Lisp before? That is downstream from the technical decision to use Common Lisp, but it is a huge business impact.
> trade time-to-market for hardware cost
Enh. I think this only exists for some programmers, who can't write good code fast.
Whatever you're already able to do, you can do it better with more time.
source?
Fast, correct, maintainable. Pick two.
Ehm. I would assume your definition of writing good code fast is not what the majority of enterprise developers agrees with.
"will they" seems like the least interesting/useful question though. How can we, e.g. raise awareness in users and programmers that this is possible and useful?
I wanna hang out with coders who care, I wanna read articles about caring and how you can achieve more with less code, and I want to see video content that visualizes the sheer insanity of it all. Like those "scale of the universe" videos, except the complexity isn't fascinating, but embarrassing.
Make it uncool, make software bloat a goober thing you people do at most because they "have to", for pointy-haired bosses, or because they're in a rush or under other constraints. Not something that just gets normalized because hey, thinking is hard, caring is hard, so let's all conspire and pretend we're not being deplorable slobs, under the "leadership" of even worse slobs. There is little technical difficulty here, it's mostly social. Ignorance and greed are in cahoots and don't want to get called out, so call them out.
Though I think to start with, you have to not give a shit about the majority, and huddle with people who care and make better things. If the majority comes around, great, if not, still better than standing on the beach, wondering if the ocean will ever spontaneously take this or that shape.
> I wanna hang out with coders who care, I wanna read articles about caring and how you can achieve more with less code
This very much reminds me of an expression coined by Loris Cro (VP of Community at Zig Foundation): "Create software you can love".
Looks like it's even got a website these days: https://softwareyoucan.love/
No.
Even today it is possible to use languages and programming techniques to be ultra efficient when it comes to memory. It's not that difficult to use them but the world don't care.
Actual example: I have built same utility using Rust, Zig and Haskell (and Go, humorous writeup[0]). Rust binary is 450kb, Haskell binary 30mb. Zig was unfinished but I constrained memory to 512kb just for fun.
Thus it's not about memory per se but more about convenience. Many applications could be scaled by 1-3 degrees of magnitude in memory if they reused techniques but... no one cares.
4K resolution frame is ~40mb uncompressed. Another 10mb is 80k lines of text. Thus fitting in 50mb for 99.8% of applications should be perfectly doable with today's tech.
If the price increase would be per each next 1mb then maaaaaybeeee. But if it's like 100% over GB then I'm sure it won't have any impact.
[0]: https://xlii.space/eng/the-four-language-waltz-a-tale-of-all...
You can drain all the system RAM with a tiny binary, so I am not sure you used the right metric.
If that happens, we will see it in triple-A games first. If some new titles have significant lower hardware specs than expected.
If buyers can't afford the hardware anymore, the studios need to adjust. It's definitively possible to scale games down a lot. There are a few AAA games that were "dumbed down" for the Switch 1 (Hogwarts, cyberpunk, ...). And that's a really low-spec device.
There are two factors: existing gamers not able to afford upgrading. But also new gamers, that might only be able to afford much lower spec PCs than people who bought 2 years earlier.
Why games? Because there is a clear point where people stop buying games. Minimum hw specs are known before buying.
> If that happens, we will see it in triple-A games first. If some new titles have significant lower hardware specs than expected.
Recently I booted up Insurgency: Sandstorm. With a 5800X and an Intel Arc B580 at 1080p and high graphics, the game runs at around 200 FPS. Meanwhile, pretty much any modern UE5 title (with the exception of Ready or Not and Split Fiction, from what I've seen) runs horribly - the interesting thing is that no matter how much you tweak the .ini files or change the graphics settings you can't get something like STALKER 2 or The Forever Winter or Borderlands 4 to run as well as UE4 with the graphics similar to those old games. Instead you get something that runs at like 10% of the render resolution and still doesn't get 60 FPS (I'm not exaggerating, literally the performance I got in The Forever Winter).
There's no good technical reason for things to be that way (Unity still exists, and the games made in it struggle less) other than the devs or the higher ups choosing higher fidelity but more expensive rendering technologies and using upscaling and framegen not as something that helps laptops or when you need the spare GPU capacity (e.g. encoding a video recording of the game), but rather as something that's supposed to be used to even get to 60 FPS in the first place.
I don't know what needs to change for things to get better.
I also don't see anyone particularly caring about regular software, Electron et al are just too convenient to develop in (having to create per-platform UIs sucks in already-overworked teams).
>There's no good technical reason for things to be that way
Of course there is. What people gets presented is look how new graphics is shining. What devs get presented is look how much less manual work you need to get this graphics out of the door. Look at any UE5 presentation aiming at devs. You will be able to see a lot of 'just do this and technology will handle the rest of it'. There is no going back to manually making 3-5 replacements for each and every thing in the game. And the same goes for lights every few meters of a game world.
As a gamedev I don't really care about the regular software. You can see that the main problem for devs is to get paid for it. All kind of schemes with subscriptions and online services and such were tried. People just don't want to pay for the software. The mentality is 'we will get it for pennies on a sale' is the same like with the steam sales. Or even worse people will choose 'free' version with 'promotions' and data collection and whatever else that saves them pennies. Look at 'free to play games' steam category for the example of the horror show.
Oh and I don't think devs are the saints there. You can find a lots of examples that prey on gullible customers or trick people to buy 'digital goods' they don't need or outright bad things with gambling addictions and more.
The only thing consumer can do is to only vote with their wallet and push their representatives to regulate. The stop killing games is an example of the latter. The former is often deemed inefficient but Imho it is the only thing that will separate surviving studios and the shattered ones. As you may see in the press the names and past successes don't save studios from closing their doors now.
> I don't know what needs to change for things to get better.
Studios need to start creating custom engines again, for one. We'll get better games with less unsatisfying jank, some of the projects will actually cost less (which is paradoxical to some) and performance is likely to jump significantly. Off-the-shelf engines have as many costs as they have benefits, but like a lot of technology people refuse to look at the choice as a trade-off, and to the extent that they acknowledge it's a trade-off the implicit admission is always that it's a trade-off that the user/player is paying the most for, so it's OK.
If companies start creating custom engines en masse again it will also help solve part of the competency crisis in the industry, because they'll be forced to actually learn and educate people on how things work.
Game studios should choose CryEngine/Decima again over UE5
Do you actually believe in what you wrote above?
Yes, Lumen (and raytracing in general) has a performance overhead. If you don't want that you can skip that feature. Split Fiction and other games choose to do so.
I think certain games like Robocop are awesome on UE5.
> If you don't want that you can skip that feature.
Unfortunately, for the consumer this can also mean skipping some games altogether: for example, I might not be able to play the latest Indiana Jones or Doom game because they refuse to let RT be disabled (unless they get enough pushback, but we can all see where things are heading).
At least there are some (usually indie) games that let you do that, like Incursion: Red River but even with Lumen and other features turned down, the performance is still worse than UE4 games of comparable scene fidelity (not necessarily complexity). I think the industry might have jumped into Nanite and all the adjacent tech way too eagerly.
No reason to see it in AAA games. They already have to run on Series S, which has ~8 GB usable memory. Consoles are the primary target for any game (if they are not, it is not AAA). So minimum specs remain relatively static through a generation.
I hope we continue local gaming, but my gut tells me we are going to see the opposite. I'd be willing to place a big bet on the new XBox leaning heavily into streaming, like GeForce now. Studios still get to build big, and the consoles get to rent hardware to you now, basically a wet dream for them.
hardware costs must come down or every consumer segment is going to be renting, not owning, everything.
I wouldn’t be surprised if they try but I think the game streaming business model is mostly dead. Stadia was a huge flop, PlayStation has streaming for previous gen games and it sucks, Xbox also has a streaming offering but I haven’t heard anything good about it. It’s a bad user experience and a significant cost to the company providing the streaming.
> hardware costs must come down or every consumer segment is going to be renting, not owning, everything.
Is this not exactly what companies want
Games are designed for consoles which aren't going to change in the near term.
If you listen to gaming Youtube then the gaming industry is already in trouble from hardware costs and availability. I'm not sure if they are making a mountain out of a mole hill or not though.
I don't know if I buy it. In the last few years the AAA gaming industry has turned out a lot of bad games, and that probably explains most of the trouble.
Switch was notorious for having a few Cloud streamed-games that don't run on the actual hardware.
which ones were those? I want to check them out
The Switch 1 Kingdom Hearts game are like that.
Are programmers and their use of data structures driving up storage requirements in games though? Or is it just high poly models and high res textures?
Helldivers 2 was in the news a few months ago for "optimizing" and saving over 130gb of disk space required for installation or something to that effect. In actuality, what they did was remove an "optimization" they had implemented without ever once benchmarking and realising it was making things significantly worse. The software development industry is a freaking wreck filled with easy opportunities for improvement if only anyone gave enough of a shit about their consumers to profile their code, ever.
I guess it's not just models and textures. Those should be the easiest to dial down, even optionally with a "low" setting. Maybe making high-res assets an optional download, to reduce game size (ssds are also getting expensive)
That's memory efficient assets, not memory efficient code. The latter is already optimized for the former.
> There are two factors: existing gamers not able to afford upgrading. But also new gamers, that might only be able to afford much lower spec PCs than people who bought 2 years earlier.
Spot on.
Now with LLMs and desktop app libraries such as Tauri, there is little excuse in choosing Electron to build memory hungry apps other than laziness.
Tauri sucks on macOS and especially Linux, because the native browsers are a huge issue. Tauri/Windows uses a recent Chromium engine, which is fine.
I'll just recognise that I'm old (and a bit grumpy): back in the day, if you didn't write minimally efficient code, it simply wouldn't run or it would be terribly slow.
Young devs have not been exposed to this and they can get away with writing inefficient code most of the time, sometimes all of the time.
And even if there is a RAM shortage, we are still in the Gigabyte age. So I don't think we will go back to cycle and byte counting.
I can't even get some devs to care if their query runs in 3s or 8ms.
It is a really simple matter of incentives.
If your backlog is full of feature requests you will add features.
If your backlog is full of tasks to reduce memory usage, speed up areas etc., then that is what you will do.
Most programmers will have no choice whatsoever.
I don't think we will in the HN snark sense of "this react site or electron app uses way too much memory". Those companies will continue to work in the same way, maybe even less efficiently as people chase modern UIs with extra animations or videos or effects, or with some AI code generation tacking on too many features or tech debt.
In specific sectors I do think we will see more optimization. If you're working on cloud compute or AI training / large scale data processing, there will be a big focus on optimization as prices are very large at that scale and shortages have a bigger effect.
Also in gaming I think the next cycle will be different. Big game studios used to push for the best possible graphics that might require the newest consoles or high end gaming computers, but the next releases might not be as much of an upgrade. The next gen of consoles or graphics cards themselves might be delayed, or be less powerful, or be too expensive and flop, as chip manufacturing companies continue focus on more lucrative markets and leave average consumers behind.
In particle physics, processing jobs face a limit of about 2GB/core. This is driven by the realities of "grid computing". The hardware in the computing facilities have approximately 2GB/core and jobs allocate based on number of core. This ratio has been fairly stable for a long time. Some facilities may have a bit more RAM per CPU core but 2GB/core is the general rule of thumb. I hazard a guess that this will not change throughout the (hopefully small number of) years that this memory cost bubble persists. In fact, the increase in cost may lead some facilities to keep older hardware going beyond its EOL/warranty period, prolonging a ratio that may actually be relatively generous compared to today's hardware systems.
As a consequence of this fixed RAM/core ratio, substantial software development effort goes to either making jobs fit in 2GB or if that is not possible then to utilize multithreading. Generally, particle physics processing does not particularly benefit from MT except in this fixed RAM/core situation. Sometimes large memory jobs are needed (inherently or because of bloat that is too costly to improve). When run on the "grid", these jobs must allocate multiple cores just to get "their" memory. If those jobs can use the extra cores, overall throughput does not have to suffer.
That's for conventional software, which still makes up the bulk of the computing. The situation for the growing amount of GPU-accelerated software is different and more varied. One trend can be seen relating to VRAM. Research groups with easy access to big GPUs like A100 write code to fit or exceed the relatively copious VRAM limits of the data-center GPUs, while groups that lack easy access to DC GPUs but have access to more modest "gamer" GPUs write more advanced software that can fit the smaller VRAM. In some cases, they write the software so it can scale the computation, keeping GPU utilization high while staying just under the VRAM limit.
General budget crisis and limited resources in the particle physics field are in part responsible for all of this tailoring of the software to fit the hardware. If better funded, particle physicists could spend more time doing physics and less time squeezing last drops of processing power.
> Will programmers write more efficient code during the memory shortage?
If we can insert "some" then Yes.
> use of more advanced algorithms and data structures that use less memory?
I don't think so.
At least at work there is a push to decrease memory usage but the way I've seen it playing out is not using some O(N) data structure instead of O(N lg(N)) per-say but instead replacing `int[]` with `byte[]` or in-lining some fields to remove some indirection costs.
Until prices hit the large hyperscalers, I don't think most people are going to make significant changes. You might see a small set of open source projects related to self hosting put in an effort, but in general, I don't think so.
Some big-tech orgs (that have their own hardware) will take costs into account, but they already do that. The "optimization" is more likely to be business-optimizations; "this can be slower if it uses less memory", rather than inventing new stuff.
Note that I am excluding any of the big AI labs. They are definitely going to be working to figure out how to use less memory, but that's primarily not related to the direct cost.
The new generation of Graviton on AWS ships with half the RAM per core in the standard family.
Unless there's an actual financial metric to hit: no.
For most people; computers just suck now.
I work in AAA video games, and I'm often told that consoles hold back games. This is true in the most essential sense: for consoles we are forced by the first-parties to optimise our games so that they function on consoles at a reasonable framerate with not hitches.
Those optimisations help PC players too; and they have more hardware headroom so they can crank things up even higher: without those constraints games would be much heavier and would require you to be on a faster moving hardware cycle.
The same is true when I worked in ecommerce; there was a common verbiage which I don't remember verbatim but the spirit of it was "we lose 10% conversion every 100ms" - so we built our systems to do as much as possible within 100ms (including network RTT).
If people actually have target hardware, and a metric that they're pushed towards, it can happen, people can learn how to navigate the abstractions or do better with the abstractions they have... but I think this wont happen, because in the examples above there was an actual cost to things. Conversion rate is money, not being permitted to launch on console is money.
But you know what modern MBAs see as being money? Time to market & developer salaries. If every company has the same mentality: then it doesn't affect conversation in the same way. Those exogenous constraints simply don't exist in the majority of technology today. It's like a collective action problem.
If there was going to be a collective action against this for financial reasons we would have seen it, shipping laptops with 16G of RAM instead of 4G (or 8G) has a really large headline cost in a company of a few thousand people; but those companies never pushed hard on Teams or Slack.
I expect mobile OS and maybe mobile app developers to do so.
Google has already downgraded memory for their upcoming Pixel 11 while at the same time imposing local running models as a first-class feature. Both decreasing the memory pool and increasing the demands on it.
The key is that they own the full stack (hardware and software) and can demand the OS be more efficient, along with perhaps forcing that goal on app developers as well via tightened background limits etc.
Google has done multiple Android memory reduction sprints over the years.
The problem is that things go quickly in the other direction between these sprints.
> advanced algorithms and data structures
This isn't where memory goes or real-world speed comes from. For most applications, it's abstractions like React running in electron that hurt performance. There are also richer resources backing parts of apps--higher resolutions, better quality, higher framerates.
In my experience advanced algorithms and data structures are almost never needed. You need simple data structures and algorithms and understanding of the environment in which you are running (for example see https://handmade.network).
Algorithms and data structures aren't the problem, bundling Chromium to make a chat app is the problem.
I think Rust's rise in popularity will probably lead to some benefits.
Games will probably get more efficient but they're easier to scale down to the memory that's available.
> bundling Chromium to make a chat app is the problem.
Precisely. And all that extra resource wastage is completely free! (paid by your customers).
Perhaps if there were any big software companies who were so iconoclastic as to write fast software and avoid wasteful patterns like using Electron, pressure to do better could be felt, but every company that ships software[1] behaves the same so if anyone tries out competition due to performance beefs, they'll have no relief. They'll be forced to blame their hardware and upgrade it.
[1] Only exception of course is some indie developers. I don't know of any companies that have more than about 2 devs who haven't adopted the 'modern' approach, where we only fix performance issues that completely block using the app.
You're forgetting about Apple and that entire ecosystem.
Android, too. Not much Electron to be found there. Both Android and iOS were heavily optimized for low memory environments back at the start.
Unfortunately shipping a Webview is also common trend in Rust applications.
I might be wearing my tinfoil hat too tight, but I think that market pressure will continue prioritising shipping worse code faster, especially now that with AI it's possible to ship code really fast. The "solution" to expensive hardware will be way less capable hardware and we'll end up with "thin clients" and all compute will happen in centralised "clouds". I hope I'm wrong
I would say that in most cases you dont need fancy algorithms and data structures, you just need to stop treating RAM as a rough notebook. Allocating in a loop, not reusing buffers and pointer chasing are a performance killers and are quite easy to avoid before they are introduced to code. Other than that, just be more thoughtful about network and disk usage and nested loops. Its a sum of stupid things that make your program slow.
We sill probably see an increase in the use of OS-level memory compression tricks instead - things like zwap on Linux, for instance. Because the trend is usually to cure the symptoms, not the cause, as it is generally easier to set up and good enough. Makers who already have invested on memory-careless tech such as Electron won't rewrite; at best they'll just be replaced by better alternatives.
Realistically, the impetus here will come from the platform holders, not the individual programmers.
Apple recently released an 8GB MacBook Neo, which bucks the previous trend of increasing RAM in low-end SKUs, and signals that software needs to be prepared to run in that configuration for a long time to come. I expect we'll see similar moves in smartphones if RAM prices stay elevated.
It's not THAT much of a memory shortage.
It's not a memory shortage like the world had run out of gas for cars.
It's not like we suddenly only have 1MB of RAM to fit stuff into.
The memory shortage means stuff costs more that's all.
you are assuming this is a new problem to be 'solved'; folks working on the embedded systems, and network infra headless systems have been wiping this surface clean for many decades;
stepping outside of garbage collection, and managed runtime systems could teach a lot; there was a book written 20 or so years ago;
https://smallmemory.charlesweir.com/
For this incentive to exist, the app needs to be such an obvious memory hog that users start identifying it as the source of the problem.
Even then, a lot is required for most businesses to prioritize this (presumably) temporary issue at the cost of things like: participation in the AI race, other features, bug fixes, new markets etc.
Heck, sometimes software is so inefficient that it costs developer and tester productivity but a fix is not prioritized for years.
Your response suggests that you're only considering native apps where users can view memory usage.
For cloud apps where the costs are largely hidden from users, the user has no way of doing that analysis. I agree with the second part of what you said, though: I expect businesses to just raise their prices in those cases rather than systematically focus on actual difficult engineering problems.
For cloud apps incentives are aligned already. The cost of memory usage falls on the people who are both paying for it and can control it. It's only really on end user devices where it's a problem, and only really on desktop class machines. iOS and Android were built in a RAM starved environment anyway and aggressively kill any non-foreground process that is using too much memory.
No. They won't.
Most games are written for the 3% who can afford a luxury gaming PC. That's how the market is working for a while now.
You don't save memory with code, you save it with architecture, platform decisions, and feedback loops.
Feedback loops are the important bit. If you want to reduce your service's memory footprint, don't at the code look at the memory profile and monitoring. You will find something like "oh shit 30% of our RAM is used by these buffers that we could basically eliminate if we tweak the flush frequency".
If you automate/regularise those investigations you will get an efficient service.
Same is true of every other performance metric, and reliability. It comes from your engineering processes (alerts, qualification, prod experimentation) not "write better code".
8Gb laptops are about the only tech still selling. Exec's better think long and hard about that.
I was thinking about this recently. If you discount web/electron bloat, actually the memory bloat of software isn't hugely terrible.
I still often notice that servers on Linux use <1GB of RAM even with relatively high use. I don't think that's really changed massively in 20 years.
There's hope for the extinction of Electron based apps.
They aren’t going away. They are an obvious answer to Microsoft GUI development being in the wilderness for 20 years.
Java has been right there all along like the awkward best friend in a romcom.
It’s funny to me that a lot of the initial dismissal of Swing was “it isn’t native widgets”. Now that’s seen as a positive.
If only there were other options available, cross platform even,...
That’ll be a minor part of it.
The whole Electron “ship a browser for each app” ideology will die first.
It's unlikely. It means rewriting all these Electron apps using something more performant, which is pretty costly.
Yeah it won’t mean rewrites. It’ll just die as a starting point.
Unless users complain it’s not going to happen. Somehow SPA (Single-page application) consume memory as much as operating system.
I've dumped python for anything that doesn't involve scipy / pytorch in favor of go. So yes, I'm having my llm's output go now which is generally more memory efficient than python.
Python isn't even that bad, I have python desktop apps that use 50mb of memory. More than needed but not 1-2gb realm people complain about with electron stuff.
Programmers might write more efficient code if the performance was unacceptable on their own laptops, but even in the not-flush-with-cash companies I've worked all my career, it's been easy for me to always have a dev laptop with twice as much RAM as most consumers have. I'm presently working on a laptop with 64GB, and we don't even use any local AI models. If a PE company is willing to spec dev laptops like this, even in the memory shortage, then I assume the memory pressure will never hit developers.
So, this carefree attitude directly shapes all code that runs client-side (JS + native apps) since the only impact on the company is whatever happens on the dev's laptop. The rest of the impact is "free" since it's paid (in either money or in misery) by customers.
For server side, I also highly doubt it, as being more memory efficient on the server side has always had a benefit to the company who pays the bill. The only things that may change may be the relative cost, but if management comes and says "AWS bill going up, help?" devs will say "OK, we can find ways to save RAM, but the team won't be doing any new features or fixing any customer-facing bugs during that time" and management will say "Okie dokie, we'll just pay the bigger bill then."
One can certainly wish, but I am inclined to believe that RAM use isn’t just about sloppy programmers. I think it is, to a significant degree, about the kinds of problems we solve now that we have more RAM.
And not all exorbitant RAM use is about sloppiness. Sometimes you can trade more RAM use for lower complexity. Bugs and development time were expensive. RAM was not. So sometimes there is calculation rather than sloppiness behind certain types of heavy RAM use.
I'd hope so. Not just because of the memory shortage, but because of the speed at which AI can help write code. Most high-level languages came about in order to speed up development, at the cost of performance and resource consumption. It's time to revisit some of these applications and see if we can use less resources to accomplish the same task. My work laptop with Teams and 2 Edge tabs open uses roughly 11GB of memory, which is insane.
My bigger hope (for apple ecosystem) is that macbook neo forces apple to optimize. Devs don't have that scale.
If memory shortages were not caused by AI then may be (but still unlikely). In the current situation even cautious in the past companies are switching to “move fast and break things” mode to not fall behind vibe coding competitors. When the velocity is the top priority there is no time fo efficiency.
It's not like we're stuck back with 640kb... At the very least you probably have 8-16GB of RAM still...
They might, but the final outcome of that depends on whether the tokenmaxxing rust-using zero-user startups are using more memory in ci/cd than the users of efficiently written successful apps are using in production.
The memory shortage is really for these insane memory requirements for LLMs.
A web browser and the basic mobile app will be fine.
The iPhone 17 Pro has the most RAM and it's only 12GB. Hell the iPhone 16 Pro only had 8 GB. The vast majority of consumer cases don't need it. I doubt Apple and other manufacturers will go beyond that to keep prices down.
What's causing the memory shortage is also directly writing less efficient code, so no.
With the age of AISlop why you expecting better quality?
> will programmers write
Who’s going to tell them?
Well, they're asking on Hacker News, so they're probably asking the broader collective, not just (presumptuously) themselves.
I think the implication is programmers aren't going to be the ones writing code anymore.
No, even at these high memory prices it's cheaper to produce code as fast as possible than to spend the time to optimize it for efficiency. It has always been the case that hardware improves at a faster pace than software. So what will happen is that we will get tech improvements in hardware that will reduce its price faster than we can write software to fully take advantage of the hardware. The current bottle neck that's causing the spike in memory prices will subside relatively soon so we'll be in better shape before we know it.
Will we? I don’t think new capacity will come online for several years and at the current rate there’s not a lot of evidence that the new capacity won’t simply be scooped up by the big data centers like they are now. At the very least we’re in for a rough 4 years at least
It's going to be years before memory prices go down to what the were last year. At least two or three years.
Are you joking? If anything, they'll use even more memory by shoving 8B LLMs in every single app.
No. Customers will pay more across all markets.
what do you mean?
They're answering the question posed in the article: No, programmers won't write more efficient code.
They're suggesting that instead, consumers will just be forced to pay more for inefficient SaaS products being run on more expensive infrastructure.
Only if people start buying computers with less memory, if they just buy fewer computers it doesn’t seem worhwhile.
I certainly hope so, it's cheaper than ever to write native code, but if sub-trillion dollar valuated companies like OpenAI have done the math and still use electron for the codex app, one has to ponder what was considered.
Will you stop using docker to deploy a simple application? No? Didn't think so.
Will they? I don't know. Should they? Yes. If AI is so great, we should use it to optimize. Rewrite all the bloat into lean efficient systems...
Not unless you get promoted for writing more efficient code.
AI (like alcohol) is the cause-of and solution-to all our problems.
Computer: Rewrite this python code in Go. Make it memory efficient.
You must be joking.
Niklaus Wirth wrote his A Plea for Lean Software in 1995. Pdf at https://people.inf.ethz.ch/wirth/Articles/LeanSoftware.pdf
People did not bother and then the Web made everything worse. We are now so used to layers and layers of abstraction, humongous libraries and frameworks that most do not know anything about how to write "lean" software.
Nothing is going to change in the application/services layer.
Memory? Doubt it.
But I’m hopefully optimistic that we’ll see a renewed emphasis on speed and responsiveness, since users do notice that despite most products ignoring it.
No. The cost of one programmer’s hour of work compared to the increase in price of RAM is not very big. One is a variable cost one is fixed.
I don't see the trend reversing, but if we're lucky, perhaps a freeze. Won't get more efficient but may not get worse.
Probably not, clarity still triumphs
Backwards thinking programmers might (there is currently plenty of memory efficient software; but it's always missing that feature you really need funny how that works). Forward thinking ones will realize we are heading towards the glut of all gluts and buy 4TB to play around with.
Depends. I can certainly offer to rewrite my old code that contributed to the memory shortage, for a price.
A few will write low level code that will make all code behave more memory efficiently.
No
I think they are writing shorter code for to token limits...
(Just refactored an app to do this. 60k lines to 20k)
Lad, modern day "programmers" don't even know what memory is. You'll be lucky to find any "software engineer" who can even tell you what a pointer is.
I can refer you to some documentation on the topic. ;)
I'm pretty sure the person who you are responding to already knows and does not need your documentation.
But most 'programmers' are just Python programmers and not real programmers.
If the producers see a long term demand for memory they will meet the challenge and produce enough to bring prices down.
Economics will invariably alleviate the memory crunch. It just takes long and requires a huge upfront CapEx.
They have been burned in the past and are hesitant to over invest, worried that the bubble might burst.
I expect high prices to stick around for a while, but I would be surprised if this was permanent.
Which means to me, that price pressure probably won't be the driving force for writing more memory efficient software.
For those who want, I expect AI to make it easier to do that, assuming it's done right, i.e. not vibe coding it.
If you have a subscription to The Economist, I recommend listening to this Money Talks podcast. They talk about the shortage and the economics behind it.
Can anything stop South Korea’s bull run?
https://www.economist.com/podcasts/2026/05/21/can-anything-s...
From a paywalled article in the WSJ:
“ The China card
Two Chinese chip makers—CXMT, the country’s top DRAM producer, and Yangtze Memory Technologies, which focuses on NAND storage—are growing fast and want to expand their global clientele. China is the closest thing to a quick fix for the chip shortage, but the solution is at best partial.
Yangtze Memory is building three new factories in China that would more than double its current capacity by the end of 2027, people familiar with the plans said. Meanwhile CXMT is seeking to raise $4 billion in an initial public offering in Shanghai, and it is building new factories. It said its revenue rose by more than 700% year-over-year in the first quarter of 2026, though it acknowledged that its products still trail those of the three industry leaders.”
Gift link: https://www.wsj.com/tech/why-the-memory-crunch-is-almost-imp...
Let me get this straight. We have a memory shortage due to AI slop which is not really efficient and to solve that problem we need to stop the AI slop and hand write the code.
One could hope for.
I doubt many of the newer generation ever even tried. Maybe they had a course at uni where they did some C or Assembly, but that's probably the extend of it. So no, I don't think so lol.
those that did before still will.
Those that didn't still won't
currently porting code from Go to Rust primarily motivated by memory efficiency gains
> Will programmers write more efficient code during the memory shortage?
Yes. No. Yes.
I've worked in gamedev, helping ship code that ran on consoles. Nice fixed hardware targets. You OOM, you crash. We crashed a lot, and cut and saved and optimized and explicitly invoked the garbage collector twice on level transitions, because a single full scripting language GC doesn't work when finalizers must run to deref C++ objects to unroot script objects, and committed other horrific hacks.
The memory shortage may eventually impact fixed targets like this. Or the minspec publishers will swallow for fuzzier targets like "PC". But it takes awhile for new targets to roll out, and for newly bought PCs to make a significant dent on total percentage of PC ownership. Steam Machine's about to release with 16+8GB and while price and market saturation may be affected by the memory shortage, I'd be suprised if the actual spec changed.
> Maybe there will even be more interest in the invention and use of more advanced algorithms
Not for typical gamedev IMO. There the focus will be more on "reduce the amount of content loaded in memory simultaniously". That means less detail, smaller scale, or less variation. Going from 4096x4096 to 2048x2048 textures quarters your texture memory usage. The surface of meshes also has some square density nonsense going on. Basic animation tends to scale with bone count and keyframes, which are more linear, although shape keys are more per-vertex nonsense.
And of course, reusing the same mesh or texture multiple times doesn't use more memory, just more memory bandwidth.
Audio is more a factor of "how many sound effects (and variants) do we need preloaded just in case there's suddenly an event that triggers them".
These are the big ticket items for memory use and advanced algorithms don't help much. Rather, the algorithms help stretch whatever amount of memory you do have to provide the best amount of quality you can, and the small constant shift in total memory availability doesn't change the calculus for how important that is very much (which depending on the game ranges from "unimportant, everything fits in memory easily" to "critical, we're doing open world streaming and we've got terrabytes of raw data already, 16 vs 64GB of memory doesn't change that much")
> and data structures that use less memory?
Some bit packing type stuff comes up for smaller logical data structures in gamedev, and that can be useful for saving memory bandwidth, but I'm skeptical of how critical it is for total memory usage outside of the occasional Factorio.
No
no
Yes. Let's hope bloated frameworks like react, angular and vue with their dreaded hydration and ssr approaches will be replaced with pure clientside applications with stateless servers with small data apis only. That alone will reduce zeptibytes of memory requirements in the world.
Of course not. Why would they? The software nowadays is mostly written for people who already own computers with RAM already installed. Yeah, they probably won't upgrade for the next couple of years, so what?
Besides, have you heard about "virtual memory" and "swapping"? Nowadays, SSDs (and especially NVMe) are quite fast, so thrashing is much less of an issue.
It could certainly be used as a way to sell killing some technical debt for performance improvements to management, for anyone struggling to.
“The new MacBook only has 8 gigs of sheep - we need to go resource-lean!!1!”
Are there promotion metrics tied to app performance? Or are they tied to deliverables?
Unless that changes we won't see any spike in optimization
A lot simply wouldn't be able to.
You could be a senior dev with over a decades experience at this stage doing nothing but chucking react slop over the fence, performance may have never once come up as a consideration in that time.
claude code and friends will make it much easier to rewrite python/js/$memory-hungry code in rust.
and make memory hungry rust code with unsafe everywhere. Way to go!
None of my LLM created rust code has unsafe, or unwrap and must pass clippy checks..
no
This is sadly a Betteridge's Law of Headlines situation.
I don't think at this point in history limitations drive the the way we do things, abundance does.
I don't see the underlying economic dynamics of the relevance of substitution costs driving the way we do things going away. And substitution costs are all about limitations.
Abundance and limitations are a bit of ying/yang phenomena in terms of driving things, you don't have one without the other.
Igor Stravinsky: "Constraint drives creativity"
(I also don't see Amdahl's Law --which is fundamentally about limitations -- going away any time soon.)
I do agree that there are compounding abundancies present.
Increasingly, the "what do we have the most of?" questions will return "RAM" less and less often.
Nuclear-powered hyperscale data centers in your neighborhood disagree. Not saying it's a good thing, but like it or not, if you ask "what generally drives how we do things", that's probably it.
Lets all run a 1GB RAM Terminal application called Claude Code, because even the seven figure payed engineers at Anthropic with Fable and Mythos are too retarded to do any kind of reasonable engineering.
just switch to Rust.
No.
Depends entirely on how competitive / adversarial the market segment is. And there are wild nonlinearities, just as you care a lot whether or not something fits in an 8-way set associative L1d but once you're too big or bank conflicted to make it the cost model drops sharply until you're about to spill the L2.
The hackers doing the drone software in Ukraine will go to enormous lengths to get something onto Jetson Orin, but once it needs Thor? New cost model.
I think what the parent might be asking is whether the cost of DRAM will be passed along to the most powerless actor in the system, and that depends on whether it's a real competition (war, HFT) or a pillow fight between frenemies (consumer Internet, too big to fail AI lab).
Us liberals have this quaint idea that good referees make capitalism an adversarial contest instead of a rolodex contest, but that idea is out of fashion at the moment.
Programmers won't, but LLMs will.
We're in this situation because of laziness. I doubt doubling down on it is the solution.
Programmers will just /goal the LLM to make the code more memory efficient. Then let it run it run overnight.
https://www.youtube.com/watch?v=_n5E7feJHw0