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Data Center Water Usage as a Home Water Saving Tip
Infrastructure Post #7027, on Aug 13, 2025 in TG

Data Center Water Usage as a Home Water Saving Tip

Why is this Infrastructure meme funny?

Level 1: Computers Get Thirsty Too

Imagine you have a lot of toys that light up and get warm when they’re on. Now, if you left all those toys on, your room would get really hot, right? You’d maybe need a fan or even sprinkle some water to cool things down. A big computer building (a data center) is like a huge room filled with thousands of “light-up” toys (actually, servers and hard drives) that get hot when they’re working. We cool those big rooms sometimes by using water – kind of like how a car uses water in the radiator to stay cool. Now, if you have tons of old emails and pictures stored in that big computer building, those computers have to work a bit harder and stay on to keep your stuff safe, which means they get hotter and need more water to cool off. Deleting emails and pictures you don’t need is a bit like turning off a few of those toys – the computers don’t get as hot and don’t “drink” as much water to stay cool. In simple terms, cleaning up your digital stuff means the faraway computers can chill out (literally!), saving electricity and water. It’s funny to think about, because we usually save water by doing things like taking shorter showers or turning off the faucet while brushing our teeth. Who would’ve thought emptying your email trash could also help save water? It’s like finding out that eating all your peas might help save a tree – a little surprising, but kind of makes sense once you know the secret. So the meme made us laugh by basically saying “hey, want to save water? Maybe clean up your old cat photos online!” It’s a silly way to connect our everyday computer use with taking care of our planet’s water. Who knew your cute kitty pics could make a cloud thirsty? 🐱💧

Level 2: Servers Drink Water

Let’s break down why that highlighted tip isn’t as crazy as it sounds. When you hear “cloud”, you might picture something abstract, but CloudStorage and services like your email or photo backups actually live in physical buildings full of computers. These buildings are called data centers, essentially giant warehouses of servers (powerful computers) stacked in racks. Think of a server as a beefed-up version of your home PC or laptop – now imagine tens of thousands of them all working together to run Gmail, Instagram, Netflix, you name it. All those servers packed together produce a huge amount of heat (just like lots of light bulbs or ovens in one room). If that heat isn’t carried away, the servers would overheat and malfunction, just like a car engine without a radiator.

So, data centers have elaborate cooling systems as part of their infrastructure. One common method is using water as a coolant. It might sound odd – aren’t computers allergic to water? – but the water doesn’t touch the electronics directly. Instead, servers blow hot air into something like a radiator coil; water (or a special coolant liquid) flows through those coils and absorbs the heat, similar to how a car’s cooling system works. The now-warm water is then pumped away and cooled down, often via big cooling towers or chillers. In an evaporative cooling tower, the warm water is trickled over fill material while air blows through it, causing a small portion of the water to evaporate. That evaporation carries away heat (cooling the remaining water, which goes back to the servers for another round). The evaporated water leaves as a warm cloud of humidity out the top of the tower – effectively removed from the system. This is how water gets “used up” in cooling. A data center might evaporate hundreds or thousands of liters of water on a hot day to keep its servers cool, hence the focus on water_usage_effectiveness as a key metric for sustainable_computing.

Now, what does deleting emails or photos have to do with this? It’s about reducing the work those servers have to do. Imagine you have loads of old emails and pictures stored in Gmail or iCloud. They might not be actively open on your screen, but they’re sitting on some hard drives or SSDs in a data center rack. Storing data consumes electricity – the storage drives need power and produce heat, and the data center as a whole needs baseline power to keep things running (lighting, networking, etc.). The more data and active services, generally the more servers and drives are required, which means more heat overall that needs cooling. If you and millions of others delete a chunk of unnecessary data, in theory fewer drives and servers are needed or the existing ones can idle more, and that could slightly reduce the total heat generated. Less heat = less cooling water needed. It’s a bit like digital clutter cleanup translating into lowering the “temperature” of the cloud.

Think of a simple analogy: your computer’s fan. When you run a heavy game or lots of apps, the laptop gets hot and the fan spins loudly to cool it. If you close some programs, it cools down and the fan slows. Now scale that up: if everyone is storing tons of junk data, those data center “fans” (cooling systems) have to work harder. Clean out that junk, and maybe the fans/back-end cooling can take it a little easier. Inbox hygiene – deleting old emails, clearing out unneeded files – is being framed as an eco-friendly act, akin to turning off unused lights or fixing a leaky faucet. It’s a new twist on Green IT: encouraging users to be mindful of the physical resources their digital lives consume.

Let’s clarify some terms to connect the dots:

  • Data centre (or data center): A large facility that companies like Amazon, Google, or Microsoft operate to provide cloud services. It’s filled with racks of servers that store your data and run computations. These buildings need robust cooling and power — they often look like massive warehouses with industrial cooling plants attached.
  • Cooling towers / chillers: Equipment that removes heat from the data center. A cooling tower often uses water evaporation to dissipate heat (you can spot them by the plumes of mist on a cold day). A chiller is like a giant AC unit that can cool water or air mechanically (using compressors); some data centers use air conditioning or liquid chillers exclusively, which use electricity, while others use a mix of chillers and evaporative cooling to save energy.
  • Water Usage Effectiveness (WUE): This is a metric data center operators use to track how much water they use to keep the IT equipment cool relative to how much work those computers are doing. If a facility uses, say, 1 liter of water for every 1 kWh of energy consumed by the servers, the WUE would be 1 L/kWh. Lower is better, meaning the data center is more water-efficient.
  • Power Usage Effectiveness (PUE): Another common metric which tracks total power used (servers + cooling + lights + everything) divided by just the power used by the servers. An ideal PUE is 1.0 (meaning all power goes directly to computing with no overhead), but in practice anything close to 1.1 or 1.2 is considered very efficient. Sometimes reducing PUE (by using evaporative cooling instead of power-hungry chillers, for example) can increase water usage, which is where the trade-off and the need for WUE comes in.
  • Digital clutter: All those files, emails, and data we keep but don’t really need. Kind of like a messy room but on your Google Drive or email server. Cleaning it up doesn’t just free storage space; at a big scale it can reduce the physical resources needed to maintain that storage. It’s like clearing out a warehouse – if you throw away unused stuff, you might be able to unplug a few extra refrigerators that were keeping that stuff from spoiling (in the digital case, “spoiling” is losing data, and the “refrigerators” are servers and hard drives).

So the meme’s last bullet point is highlighting a real link between CloudComputingServices and water consumption in an exaggerated, attention-grabbing way. For a newcomer or junior developer, it’s an introduction to the idea that the cloud is physical. Storing an email isn’t just a passive, magic act – behind the scenes there’s an ongoing cost in electricity and cooling. The meme uses humor to educate: it basically says “hey, your old selfie backups are making some machine run hotter and use water.” That’s a pretty surprising idea if you’ve never thought about where your data lives! We usually consider water conservation in terms of shorter showers or fixing leaks at home – tangible things. Extending that concept to our digital habits is novel. It also hints at the broader field of sustainable_computing, where the tech industry works on reducing the environmental impact of data centers (through better cooling tech, renewable energy, efficient code, etc.) and where users might be encouraged to be part of the solution by not treating cloud storage as an infinite dumping ground.

In essence, this list item turned meme is saying: saving water isn’t just about your lawn and taps, it’s also about your Dropbox and Gmail. That’s a pretty powerful notion for such a tiny highlighted line. And it’s true enough that engineers find it clever, but weird enough that it makes us laugh.

Level 3: From Showers to Servers

The humor hits as a classic one-of-these-things-is-not-like-the-others gag. The flyer starts with six sensible home plumbing tips – fix a leaky loo, use a rain barrel (or “rain butt” in UK parlance), take shorter showers – all advice you’d get from your local water utility during a drought. Then suddenly, bullet number seven swerves into CloudHumor territory:

Delete old emails and pictures as data centres require vast amounts of water to cool their systems.

This abrupt detour from household sinks to server farms is so absurd it’s hilarious. It reads like someone hacked an environmental_metrics PSA to slip in a sysadmin’s pet peeve about digital hoarding. For seasoned engineers, the joke lands on two levels. First, there’s the sheer cognitive whiplash: we’ve gone from talking about dripping faucets to inbox_hygiene in the same breath. It’s as if your mom, after reminding you to turn off the tap while brushing, suddenly says “and clean up your Git repositories to save the polar bears.” 😂 The surreal juxtaposition is funny on its face.

But secondly, for those of us in Cloud Infrastructure, there’s that knowing chuckle of “well, they’re not wrong.” We recognize that behind every “free” email account or endless cloud photo backup, there’s a warehouse full of Storage servers humming away 24/7. Those servers draw power, generate heat, and often rely on evaporative cooling – essentially drinking water – to stay within safe temperatures. We measure things like Power Usage Effectiveness and increasingly Water Usage Effectiveness at our data centers, so the highlighted tip isn’t just tech babble; it’s referencing real practices in DataCenterOperations. The absurdity is that a mundane action like deleting old emails is pitched as a water-saving measure comparable to fixing a toilet leak. It’s a huge scale leap: one involves your bathroom, the other involves Google or AWS’s cooling Plant #5. By highlighting that leap (literally with a yellow highlighter in the image), the meme taps into an almost dystopian modern truth: everyday digital habits now have ecological consequences. Sustainable_computing has become everyone’s business, apparently even at the level of personal inbox decluttering.

For senior folks who remember when “the cloud” was just someone else’s computer, this is both funny and a tiny bit guilt-inducing. We’ve spent years optimizing code and infrastructure to trim EnergyConsumption and improve efficiency. We championed Green IT initiatives to reduce carbon footprints, and now here we are, confronted with the notion that an overflowing email archive contributes to literal water evaporation. It’s an absurd extension of the idea of digital responsibility. The meme exaggerates it for comedy (nobody seriously expects drought remedies to include Gmail cleanup campaigns), but it’s grounded in truth. In fact, some tech companies have started nudging users about unused data and even designing storage systems to migrate cold data to more energy-efficient (and thus often less cooling-intensive) tiers. The highlighted line implies that your 5,000 unread emails are akin to a dripping faucet in the attic of the internet – an unseen waste that, in aggregate, CloudStorage providers have to deal with. Seasoned engineers will recall episodes where an explosion of “digital clutter” – say, logs left unrotated or debug backups piling up – put unexpected strain on systems. We know the digital_clutter_cleanup struggle is real. Seeing that concept transposed into an eco-friendly “tip” is both comical and oddly satisfying. It’s as if the meme is giving a nod to all the ops engineers who’ve yelled “Please, delete those useless files!” by framing it as planetary good.

There’s also a tongue-in-cheek poke at how society tackles big problems. The list implies inbox hygiene is now a civic duty: along with shorter showers, please also purge your cat memes to fight the drought. It satirizes the tendency to push sustainability habits to individuals (“you can make a difference by deleting emails!”) even when the real heavy lifting has to be done by large-scale CloudComputingServices providers optimizing their cooling systems. The senior perspective appreciates this irony. We’ve seen similar patterns: for example, telling people to unplug phone chargers to save power (a tiny impact) while industrial-scale consumers drive most of the demand. Here, deleting a few MBs of personal data might not move the needle much compared to, say, data center operators investing in water recirculation or dry cooling technology. Yet, the meme plays with the idea that every little bit helps, taken to a ridiculous extreme. The result is a punchy piece of Cloud satire that makes veteran techies smirk and maybe mutter, “Alright, time to finally clean out that 2007 email archive – for the planet!”.

Level 4: The Cloud’s Water Cycle

“Data centers operate by using water once and destroying it forever”

At hyperscale, cloud computing isn’t just about software and servers – it’s also a story of thermodynamics and resource use. In a modern data center, thousands of servers packed in racks churn out intense heat, similar to a giant oven of compute. To prevent meltdown, these facilities rely on datacenter_cooling infrastructure that often includes water. Why water? Because H2O has a remarkably high heat capacity and an even higher latent heat of evaporation. In practical terms, water can carry away heat far more effectively than air. For example, evaporating just one liter of water can dissipate ~2.26 MJ of heat – that’s like soaking up the heat from a 1000-watt server running for over half an hour! Cooling towers in many DataCenterOperations use evaporative cooling: warm water from the servers’ heat exchangers is exposed to air, some water evaporates, and that phase change carries off the heat, cooling the remaining water which recirculates to soak up more heat. It’s efficient engineering, but there’s a catch: the water that evaporates leaves the building as vapor. It’s not literally destroyed (conservation of matter still holds – it will rejoin the atmosphere’s water cycle and rain down somewhere eventually), but from the facility’s perspective, that water is gone for good, no longer available for reuse on-site. This is why data centers talk about Water Usage Effectiveness (WUE) as an environmental metric. Much like Power Usage Effectiveness (PUE), which tracks energy overhead, WUE measures how many liters of water a data center evaporates per unit of IT work (often per kilowatt-hour of computing). A lower WUE means the center is sipping water efficiently; a high WUE means it’s guzzling gallons to stay cool. Top-tier cloud providers boast ultra-efficient designs – using recycled greywater or situating near cold climates or large rivers – achieving WUE values as low as a few milliliters per kWh. Still, at the scale of hyperscale CloudInfrastructure, even a WUE of 0.2 L/kWh adds up to enormous water consumption when you’re delivering megawatts of computing day and night. If a data hall draws 10 MW for its servers, a WUE of 0.2 implies ~2,000 liters of water evaporated every hour. Multiply that by all the data centers keeping our emails, cat photos, and streaming video feeds running, and you see why commentators quip that “every cat video is part of a secret global irrigation system.” The meme’s hyperbolic claim that data centers use water once and poof, it’s “Gone”, riffs on this reality – it sure feels like the cloud is a one-way valve for local water supplies. In times of drought or water scarcity, that one-way consumption becomes a serious concern. In fact, around the date this meme was posted, public attention was on water shortages; officials and engineers alike were scrutinizing every major water consumer, including the tech industry’s green_it practices. This is the backdrop for our meme’s punchline: it takes a niche technical fact – that storing data has a WaterFootprint – and plonks it into a list of everyday water-saving tips.

Description

A screenshot of a listicle titled 'HOW TO SAVE WATER AT HOME'. The list contains several standard water-saving tips, such as fixing leaky toilets and taking shorter showers. The final item on the list is highlighted in yellow and reads: 'Delete old emails and pictures as data centres require vast amounts of water to cool their systems.' The humor stems from the juxtaposition of common household advice with a technically true but absurdly scaled suggestion for individual action. It satirizes how the environmental impact of technology is sometimes presented, making a point that while data centers do use significant water for cooling, an individual deleting files has a negligible effect, unlike fixing a major leak at home. This is a joke for those in tech who understand the scale of infrastructure and the often-misguided environmental advice given to consumers

Comments

70
Anonymous ★ Top Pick Sure, I'll delete my old emails to save the planet. It's the digital equivalent of turning off a light in an office building that's already on fire
  1. Anonymous ★ Top Pick

    Sure, I'll delete my old emails to save the planet. It's the digital equivalent of turning off a light in an office building that's already on fire

  2. Anonymous

    Next time the VP asks why the log-retention bucket is only 30 days, just tell them you’re protecting the company’s drought-contingency plan

  3. Anonymous

    After 20 years of optimizing database queries and implementing edge caching, I finally discovered the ultimate performance improvement: convincing users their 10-year-old email attachments aren't worth the water bill at our Virginia data center

  4. Anonymous

    Ah yes, the classic 'delete your emails to save water' advice - because clearly the 200 liters wasted by your leaking toilet pales in comparison to the nanoliters of cooling water attributable to your 47 unread newsletters sitting on a hyperscale provider's deduplicated, multi-tenant storage array. Nothing says 'I understand distributed systems at scale' quite like thinking your personal inbox has a measurable impact on a facility consuming megawatts and processing exabytes. But hey, at least it's easier than calling your data center's PUE into question or questioning why we're still using evaporative cooling in water-scarce regions

  5. Anonymous

    Cute idea, but my inbox won’t move WUE - try fewer 3× replicas, lifecycle to Glacier, and fewer pet clusters before asking me to delete selfies

  6. Anonymous

    Brown grass regrows healthy; unchecked blob storage just evaporates the local aquifer

  7. Anonymous

    If Legal’s seven-year retention keeps that 2013 “ok, thanks” thread, my S3 lifecycle rule isn’t cost optimization anymore - it’s water conservation

  8. @Glebasya777 11mo

    AI haters usually say something like this

  9. @SergioEremin 11mo

    Oh, those famous power hungry storages

  10. @SergioEremin 11mo

    🙀

  11. @qtsmolcat 11mo

    Technically incorrect, water is rarely ever actually destroyed. But the bigger point I think is that the AI data centers use way more water in a day than you ever will

    1. @kitbot256 11mo

      IMHO the point is that the datacenters often get their water from the same sources as the city. So if the source is scarce lowering the load on the servers will actually let more water to the customers.

      1. dev_meme 11mo

        meanwhile on my eu servers so dumbass hoster doesn't shut them down due to idling: */05 * * * * stress --cpu 1 -t 60 -v 1>/dev/null 2>&1

    2. @maks_mikh 11mo

      You do not need AI to store photos on HDD

      1. @maks_mikh 11mo

        To store "old emails and pictures"

    3. dev_meme 11mo

      I didn’t get it You didn’t knew that data centers disintegrate water and put it on another plane of reality so it’s not accessible to the rest of us anymore?

  12. @shacotustra 11mo

    Oh that thirsty electronic My home pc consumes more water than my whole family

    1. @qtsmolcat 11mo

      Your computer doesn't use massive amounts of liquid cooling :)

  13. @cacojo15 11mo

    I believe that what they mean is that for at least for certain datacenters, water is evaporated by the cooling system. It is not release into a river sligtly hotter. (I have seen both systems) But that is even more the case about thermal power plants with big cooling towers that will produce electricity for the datacenter. However I don't know if storage of old data has such of an impact.

  14. @Hyron 11mo

    While it's true that water doesn't get destroyed obviously, so is true for everything else, especially showers/tap water, but still it makes sense to save up that water. Still the water used for data center and such is heated up, since it's used to cool down the infrastructure, and released into the environment (which additionally damages the environment). I'm not sure you can use the hot water released from this process for other uses immediately or after it cooled down, or how long it takes. Also like, even if it's not much imo there's no downside to sensibilize general public to the fact that data centers consumes a lot and be a bit more aware of energy costs

  15. @Hyron 11mo

    And yeah if it evaporates than it makes even more sense

  16. @maks_mikh 11mo

    Looks like someone just used AI to write these recommendations

  17. @deerspangle 11mo

    Honestly I expect someone wrote this while rather pissed off about corporate consumption being so much higher than individual consumption, but given no power to actually point out how silly it is to ask individuals to solve it And hence this one is tongue-in-cheek But I dunno!

  18. @Kumapawa 11mo

    The thing is that fresh water is used for cooling data centers. When it evaporates, it's likely to turn into salt water due to the specifics of the hydrologic cycle. So, technically the amount of all water on the planet stays roughly the same, but we reduce the freshwater reserves by converting it into salt water. Running out of fresh water sucks because it takes a humongous amount of energy to turn sea water into drinkable water. Imagine Africa's water scarcity but worldwide.

    1. @Algoinde 11mo

      Why would it evaporate Isn't it just running in closed loops to carry thermal energy away from the servers

      1. @azizhakberdiev 11mo

        water doesn't disappear, just gets polluted over time and also cooling aint free

      2. @Kumapawa 11mo

        ~80% of data centers evaporate water: https://www.eesi.org/articles/view/data-centers-and-water-consumption

        1. @Algoinde 11mo

          what the fuck

        2. @callofvoid0 11mo

          part of the water usage is accounted for the power plant that produces electricity for the dc

          1. @Kumapawa 11mo

            Yup, it is. It does not change the point, though. Demand creates supply: power plants generate more electricity to meet data centers' demands. This also pushes for new power plants to be built: https://www.bdcnetwork.com/home/news/55298686/new-trend-gas-power-plants-being-built-exclusively-for-data-centers

            1. @SheepGod 11mo

              Didn't they already have no water there

              1. @Kumapawa 11mo

                I believe it's more like, "the state is already cooked, let's suck it dry"

            2. Deleted Account 11mo

              wth?

            3. Deleted Account 11mo

              sure they want to keep colding data centers with fire lol😂

              1. @Kumapawa 11mo

                Jokes aside, it makes perfect sense to build new gas power plants in Texas because it reduces the cost of logistics. Around 25% of American gas is extracted in Texas

                1. Deleted Account 11mo

                  Hmmmm... nice.

                2. Deleted Account 11mo

                  ofcorse it can be colding with gas instead of water, that's better than wasting water. Now i got it🤯

                  1. @Kumapawa 11mo

                    Nobody cares about wasting water. Cutting costs is the only priority.

        3. @Algoinde 11mo

          @devs_chat check this, it's more complex than I thought

          1. dev_meme 11mo

            This really doesn’t matter Check water consumption of any factory that works with steel There’s factories that are build on rivers (not even biggest ones) and used water literally forms a new river (that eventually goes back to original) I was bathing in one such river when I was a child btw, water there was much warmer even during cool day 🌚

            1. dev_meme 11mo

              Wtf, I love Internet I just found photo of "the beach with hot water" + city name And it’s exactly like in my childhood memories

            2. @RiedleroD 11mo

              the difference is that steel is useful

              1. dev_meme 11mo

                Saying that AI not useful at current stage is just weird 🌚

                1. @RiedleroD 11mo

                  I haven't found any use for it yet - generative art is just automating the creatively fun parts of being human - trying to find facts with LLMs is more work than just doing it with conventional tools (unless you're ok with potentially being lied to) - doing any technical work with LLMs creates more work in the long run, as codebases become unmaintainable with shit code and zero people that are knowledgeable about the codebase

                  1. @RiedleroD 11mo

                    ok, there is some utility in the medical field, allegedly, but only in a "maybe we should make extra sure nothing is wrong, because the AI said something is wrong" kinda way. I'm not in the field, so I don't have insight into what's going on, but if it were some kind of revolution in medicine, I'd have heard about that. last major thing I heard is an anticipated revolution in medicine - around 2 years ago.

                    1. @Algoinde 11mo

                      And the actual "AI" (ML) usage in medicine existed for several years before the LLM hype cycle, for *actual* inference, tumor detection and so on

                      1. @RiedleroD 11mo

                        yea, that's what I'm talking about. again, can't talk specifics because I'm just not in that field

                    2. @lambda_coolusername 11mo

                      https://youtu.be/TNeVw1FZrSQ bad news about the state of medical llms 🙃

                      1. @RiedleroD 11mo

                        this says relatively little about that kind of AI

                  2. dev_meme 11mo

                    p.2 - no idea when I have seen last time wrong factual info from any frontier model p.3 - unironically, skill issue Like any tool, you need to get used to it, and understand pros and cons. What and when works, and when it doesn’t But I got so tired last 6 months convincing people to actually try to think before using that instrument, instead of expecting actual sentient AGI to be provided to them for free… I gave up at this point Happy to help those who curious, esp at work but nothing more

          2. dev_meme 11mo

            My main point is: it’s not that cheap to get clean water Desalination of water is nothing really expensive too. Its just governments (all of them) that want to steel much more money than actually goes to infrastructure. It’s crystal clear when you see big corps doing the same thing in terms of infrastructure for 1/10 of price or even less There’s no problems with water Only with bandits calling themselves government

  19. アレックス 11mo

    This but the guy on the left is Sam Altman trying to use a modest country’s worth of water to train GPT-Safer and the guy on the right is selfish grandmas saving a whole two gigabytes of family photos.

  20. @Hermesiss 11mo

    It just goes to the cloud

  21. dev_meme 11mo

    At the moment my main idea is that higher in management hierarchy you are / more programmers you had to manage, and more PRs with different styles you had to review - makes it so much easier to treat llm just another colleague I can feel correlation that those who not only write code but also manage programmers are much easier to adopt LLMs into their processes

    1. @Algoinde 11mo

      I'll never treat AI slop as "another colleague" because when reviewing PRs i do it to educate the person so they can start writing better code When reviewing slop, I'm trying to find hallucinations that I can't do anything about, and therefore it's *not* a colleague

  22. dev_meme 11mo

    That’s what I’m tired of repeating! Stop thinking that it’s sentient AGI, it’s just a tool!

    1. dev_meme 11mo

      And juniors can, and do produce code that works after tweaks and a few reviews But instead of waiting a day, you can start review after 3-5 minutes

      1. dev_meme 11mo

        And this Junior worked before with all technologies you work now, worked before, and may work for this project

  23. dev_meme 11mo

    This is obvious bullshit and why would you consider this to be normal/default?

    1. @pdsnrc 11mo

      just personal experience

    2. @qtsmolcat 11mo

      Your average senior developer isn't going to be using ChatGPT, and your average developer putting code into ChatGPT probably doesn't know enough to catch obvious errors. It's a catch-22

      1. dev_meme 11mo

        Don’t use ChatGPT for coding Guys, really, mentioning anything, but ChatGPT - you didn’t even tried to get into actual vibe coding Nobody uses ChatGPT for vibe coding, like, there’s no even such options You have relatively poor options with tools like cursor and windsurf, Or you go for proper experience that starts from hundreds of dollars: codex (for gpt models) - and you will need 5-pro or 3-pro for proper code writing Gemini-cli Claude code

        1. @RiedleroD 11mo

          a coworker of mine does sometimes

          1. @deadgnom32 11mo

            I do too, but I never take the solution as is, it's more for inspiration

            1. @RiedleroD 11mo

              similar in his case, but I feel he'd be a lot more efficient if he just made the piece of code instead of reading whatever chatGPT spits out and pondering whether that's a good approach

              1. @deadgnom32 11mo

                I use it more in cases, when I know a certain technical approach exists, but I don't know any libs and tools for it. I explain the math behind a solution I want to achieve — it gives me some code. and this is a starting point, at least I know what to read and have some code sample

          2. dev_meme 11mo

            I’m just asking to not use it, because gpt models are bad for coding/engineering Of course too many people still do Gemini-2.5-pro and both sonet and opus are way ahead, as long as provide them with proper context in the prompt

      2. dev_meme 11mo

        Most of senior devs I work with use AI tools, including ChatGPT Documentation, integration specs, debugging - things do actually move faster and it’s great alternative to Google, and it often works better than Google Even with cheap and outdated models like 4o

        1. @qtsmolcat 11mo

          Until it makes up shit and you don't double check it

          1. dev_meme 11mo

            What happens when non-fully checked codes is merged into main and reaches production? You deploy prev version, and revert last merge, no? How is it any different? Gradual rollout and canary releases were a thing well before LLMs became a good tool

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