If you put this into pangram it is 100% AI generated. People on reddit/ youtube are engagement farming anti ai content... with ai text and scripts etc.
The actual content is somewhat relatable but don't fall for the bait.
I mean, you're free to not "outsource your thinking". If you actually believe that fiddling with the code by hand is essential, just spend 5 minutes giving a prompt and 55 minutes working by hand. Boom, you're as efficient as 2 programmers were before AI, and you only had to "miss out on" 1/12th of the learning.
It doesn't have to be this way. LLMs can be quite helpful in analysis and small coding tasks. I understand everyone doesn't control their environment, but surely there are some sane places out there?
We don't have try to use them as 'agents' to write and understand all the code for us, frankly I wouldn't trust them to do so, they make too many mistakes and foolish decisions about architecture.
They shouldn’t be this way, but more are turning into this.
Not all of them. Some simply can’t afford it. Some hold true to processes to ensure quality code and knowledge behind contributions.
But what appears to be happening is a race driven by FOMO. Teams are being told to use more and more AI to speed up their productivity. Surely their competition is using AI to build more features, fix long-standing bugs, and make products more efficient. By not spending money on tokens it allows the competition to expand their share of a market. They can’t accept that; shareholders, investors, and owners would replace them with someone who is willing to pull out all the stops.
Yes but who’s going to develop their skills enough to be making good architecture decisions if from the beginning of their career they have an Easy Button ?
I find it incredibly interesting that the topic of a 4 day work week came up seemingly quite seriously during Covid, yet I haven't seen any mention of it since ChatGPT was announced.
I wonder how many people spend less time working but don't spend less time at work, though. I'm sure it depends on the role/company, but there must be some cohort it's enabled to slack harder for now. Probably not engineers.
Graeber’s Bullshit Jobs covers this at length. There is a lot of employment that just needs a butt in the seat when or even just in case they are needed. It’s really a bit tragic how many man/woman-hours are wasted due to lack of creativity.
I call bullshit on that book. I've never worked anywhere that kept people on just for the sake of it. Sure there might have been people who probably should have been fired, but the job they performed wasn't fake.
If models are getting exponentially cheaper and more powerful, going all in a year ago is kind of insane. There's ostensibly this reverse token value inflation where whatever you spend on AI today, you'll get much more for the same dollar tomorrow (assuming models get cheaper and better). There's really a weird sort of late mover's advantage to just holding off and saving your money unless you expect your profit to grow faster than AI becomes more powerful.
Go faster now and get the benefits now (as TFA said, they did ship a lot of stuff very quickly), but risk piling up a huge amount of tech debt? Or wait and get less short term benefit, but more long term benefit?
The sane move in such an environment is to wait and let other people leeroy jenkins in and make mistakes, learn from their blunders, and only move once clear best practices are in place.
My point is that you don't know when you're actually at that point. The only way you can make learn from blunders is to make some mistakes yourself. Waiting will only inevitably ensure you make mistakes others did a year ago.
Waiting is also a risk averse take and many organisations don't want to wait and are prepared to spend extra
Risktaking is necessary for startups (and part of their advantage), but most larger organizations are generally risk averse to a fault.
Not only is predictability very important for publicly listed companies if they want any investors what so ever, many organizations older than say 25 years have a near constant hangover caused by poor tech decisions they've made in the past, redundant duplicate systems due to mergers and acquisitions, half-finished attempts to migrate a COBOL system to something newer, an Oracle DB license that costs a third of the IT budget they can't migrate off. The older the org the nastier it gets.
This is why the business world not only runs on Java, but old Java, it's why AAA game studios keep rehashing the same safe bets rather than trying something different, why Hollywood has turned into an assembly line for making superhero movies, why the sky is full of airliners designed in the 1960s.
This is only a sane move if the thing you're optimizing is to make the best product with no regard for time.
Unfortunately, time is a constraint for every company that exists, and a kinda-crappy implementation of something that's available today often beats a perfect implementation tomorrow.
Like with accelerating productivity gains, the actual wall clock start-to-end time is mostly unchanged if you wait with starting a project, you can always catch up, why does it matter if I do most of the work in the beginning of a project, or toward the end?
If you have users that want a feature, are you telling them, wait six months and I'll give you a perfect implementation, or, here's a 80% good enough feature you can use tomorrow?
If you have users, presumably your users are already paying you, so why are you rushing out half-baked features to meet their feature requests? They'll almost certainly keep paying you whether the feature comes tomorrow or in six months.
Changing vendors is a pain in the ass, especially in B2B. Like case in point, Confluence has been around for 20+ years and still doesn't have a working search function, and is comically useless it is at everything it does. Yet businesses all over the world are all in on that garbage.
I dunno, personally I learn best by fucking up myself, even observing others fucking up from afar seems to not nearly have the same impact and knowledge-gaining. I always make sure to learn in low-stakes environments though, not like Facebook's "Move fast, break democracies" approach.
Well you can still fiddle on projects if you feel like it. But like maybe don't bet the entire business on a venture to figure out best practices for AI coding.
Growth and change is so fast that waiting is almost a virtue. Why spend effort getting opus 4.8 to work on my codebase when opus 5.5 will arrive within 8 months anyway? Why spend effort getting opus 5.5 to do anything when opus 6 will arrive in the near future?
The only things that I do with AI at my job are easy things. AI hasn’t transformed hard work in quite the same way, but it has given me access to knowledge and information about things and processes that I didn’t have before. It also forces me to write things down, which is perhaps a not insignificant amount of the improvement in our business
> saving your money unless you expect your profit to grow faster than AI becomes more powerful.
You haven't really said how you actually get "more". Selling stuff usually works by resolving a need or want your customers have. If you can use AI as a tool to resolve one such want today, how will resolving it for 1/10th the cost in a few months actually help your business?
Even if you're making a new invention or something, sitting on the idea until you can make it for fewer dollars, will just open up to somebody else doing it earlier. And they'll have time to work out any kinks that inevitably only appear during actual testing...
But then you won't know how to efficiently use AI, so you'll still end up spending more money when you start using it, nullifying any of the micro-optimization you were trying to do in the first place.
I wish "how to efficiently use AI" was a deep subject; it isn't. You point it at problems and they get solved. It's mega boring, and the main reason I'm looking to leave the industry.
Why do you have to personally invent how to effectively use AI? You can learn from other people's mistakes, wait for best practices to settle. Be Java.
Ok if this is the advice then I'm gonna look for a second opinion first. :)
More seriously: making any crap with AI is trivial and doesn't need learning. Making something better and more valuable than all the competitors *that have the same tools as you* is more involved, and relies 100% on knowing how to extract unique value from the tools. A part of that comes from your product/industry expertise (acquired before AI, much like your competitors), but unless you're a genius or in a greenfield, what will matter will be the other part where you have trained hard to be a better driver than your competition who just waited and watched a few youtubes.
Wouldn't be surprised if a "year ago" is a rough estimate.
I recall mid-to-late November 2025 being a big inflection point where it finally became obvious that these things could actually be trusted to do a decent amount (but not all) of the coding. So maybe it was more like 8 months ago or whatever that they went all-in, close enough to a year for a random reddit rant.
The overall gist of what the person posted matches my experience though. The fall-off on understanding the code to any meaningful degree happens very quick once you give full rein to the LLM and lean into mostly-automated reviewing.
It depends on how you read the market - not the AI market, but the one your code is addressing. If it's a growth market with some lock-in, being first matters a fair amount. If you didn't have the people to hand-code it, then you want to code it as soon as you have the (people + money for tokens) that will get it done.
Meanwhile before AI, very large code bases existed where nobody fully understood them, people churned at these companies or projects, and who knows what is in them (xz backdoor)
Yeah this is what happens when you think code is the product. It's really the understanding and also the design of the software that is the "engine" of value, and the problem is that it's hard to justify spending money to build something that is intangible and might be visible in the future.
When non-technical people call the shots, they will rarely bet on spending time and effort on designing things properly because they can't see the value and it's hard to communicate and convince others of its business value.
Also think about it in terms of start up value. The value of your business is a combination of employee expertise and customer/client relationships. Everything else can be reverse engineered. If all you have is a product written by AI then who cares?
If only we'd tried shipping all the understanding to coding sweatshops in India with identical disastrous results 20 years ago, maybe we would have learned from that.
Even disregarding the direct arguments that can be made against normalizing this attitude, there isn't a bag of money for most developers. HN is biased to think of the typical smart, hard-working software developer as making enough for a middle-class or upper-middle-class lifestyle, but that hasn't been the case even since before the LLMs of the past couple years. Businesses are offloading more and more and more of the effects of inflation onto employees, rather than sharing the burden. A handful of factors are being used as excuses to accelerate this trend, and AI is one of them.
> Except half of us haven't written anything non trivial in a year and it shows. I spent 2 days on something I would have done in an afternoon in 2024.
This is the part that bugs me with AI usage is that it drives the use of it to benefit the company but not the individual. Yes AI allows me to be faster as work (in theory), but as a result I lose out in my own learning as an employee, I lose out in my own cognitive ability to learn, make mistakes and build upon my knowledge and skills.
benefiting the company is the whole point, they cut the checks, yes? why would any company give a hoot about yours or mine cognitive ability to learn or your knowledge/skills? if they deteriorate to the point you can’t be productive any longer they will replace you
That’s a very narrow notion of what is possible in life, to think the only option in employment is to trade misery for cash. Plenty of people have and continue to experience careers wherein they pursue their passion.
But I agree that it’s over for those passionate about code wanting to make a living that way. I switched careers to clockmaking.
> This is the part that bugs me with AI usage is that it drives the use of it to benefit the company but not the individual. Yes AI allows me to be faster as work (in theory), but as a result I lose out in my own learning as an employee, I lose out in my own cognitive ability to learn, make mistakes and build upon my knowledge and skills.
Your well-being and self-improvement is not a priority for your capitalist employer, especially given ideological changes over the past 70 or so years. They would just as rather use you up, throw you away, and replace you with something else, if that was more convenient for them.
Isn't it wonderful to be on your own? Remember that next time someone talks about starting a union.
I agree to an extent, however for the most part your experience and ability to do your job to date has been how you differentiate yourself and provide value.
I really wish more folks would have the stones to name and shame these shitty companies and leaders in public. Stop letting the C-Suite control the narrative and just be bluntly honest with these slapdash, fad-chasing, shitshow LLM “implementations”.
It’s not properly using the tools, it’s not improving products, it’s just burning money in the furnace of Anthropic, Google, Microsoft, Oracle, nVidia, and OpenAI. You’re not building world-changing pipelines, your executives demanded you gamble at the slop machine as fast as possible to inflate share values so they can parachute out.
You owe them nothing, so start snitching. Scream openly about the harm this blind push into fads did to the humans, the product, the customers, and the shareholders. The truly excellent use of LLMs continues getting overshadowed by the blind fealty marches and purity tests orgs instituted around mass-adoption and cognitive-offloading, and you’re doing every stakeholder a disservice by pussy-footing around the issue.
It could have started with the question. The question could have been in the middle. It could have ended with a sentence after the question. But it's one aspect of the whole post that shows it's some weird engagement bot post.
This thread is discussing something that's not real. People are forming opinions and discussing it. Unless everyone's a bot?
I really don't get that from reading it several times over now. Maybe the paragraph starting with "The part that actually hurts is who is left...", but even that's a stretch for me.
> Is anyone else at the point where the mandate is being walked back, and how did you get the understanding back?
These two sentences could have been reversed and it would have been fine.
The post could have ended without the question and would have been fine.
I'm pretty sure I'm right that this is a fake post. Are you disagreeing that this is fake or ai written? Or with how I came to that conclusion? It's not the only tell, but one of a few.
> I'm pretty sure I'm right that this is a fake post. Are you disagreeing that this is fake or ai written? Or with how I came to that conclusion? It's not the only tell, but one of a few.
You're potentially moving the goalposts now - your initial claim is that the post is AI generated, now you're also asking if it's fake.
It may be fake (I wouldn't know how to tell if so or not). What I'm voicing skepticism over is whether or not it is AI generated.
I wish people stopped posting what Pangram said. Pangram set an impossible task before them — either they're grifters or naive. They use a magic box to determine whether someone else used a magic box, giving you a bullshit result.
What stops someone from writing a prompt that includes: "run your response through Pangram and keep adjusting until it thinks it was written by a human"
This is the very obvious logical conclusion of AI and programming. The bean counters don't care if you understand anything, or if your skills atrophy. Unless and until the cost of no one understanding the code outweighs having to pay those pesky humans and all their wants and needs, this will continue to be the norm.
oh cmon it's not like AI existed since they were born. if they seriously forgot how to code in the 6 months AI was mandated then they deserve to be restructured. some of these reddit posts are pure bait or bs
What do you do when your entirely AI written codebase runs like shit? Do you prompt it to "do better"?
"Find the things that you did that are badly, and do them better. Add a directive to claude.md to do it right the first time, next time."
If AI codes better than humans, I don't understand why it has a dozen copies of stuff everywhere. Even people who suck don't suck that much. I don't even understand how you can get away with it unless you're writing functional code.
One counter argument to this is that realistically nobody 'understood' the codebase even before AI.
A couple months after not touching code it was always a mystery. You'd know the high level architecture but you can still know that even while using AI.
If you put this into pangram it is 100% AI generated. People on reddit/ youtube are engagement farming anti ai content... with ai text and scripts etc.
The actual content is somewhat relatable but don't fall for the bait.
I have a friend who works at a large F100 and in his 12 years as a dev, he has never dreaded his job as he does now.
He's working 10 hrs. a day, just entering things into Claude, waiting, reviewing, and learning absolutely nothing.
At this point anyone who was truly passionate about programming, is just less and less motivated to become a better engineer.
If he's waiting around, he should give it bigger chunks of work or work on multiple projects in parallel. Give it larger prompt and go for a walk.
perhaps during those walks he may try and catch up on the learning being missed out on by having outsourcing thinking to a data collection machine
I mean, you're free to not "outsource your thinking". If you actually believe that fiddling with the code by hand is essential, just spend 5 minutes giving a prompt and 55 minutes working by hand. Boom, you're as efficient as 2 programmers were before AI, and you only had to "miss out on" 1/12th of the learning.
It doesn't have to be this way. LLMs can be quite helpful in analysis and small coding tasks. I understand everyone doesn't control their environment, but surely there are some sane places out there?
We don't have try to use them as 'agents' to write and understand all the code for us, frankly I wouldn't trust them to do so, they make too many mistakes and foolish decisions about architecture.
They shouldn’t be this way, but more are turning into this.
Not all of them. Some simply can’t afford it. Some hold true to processes to ensure quality code and knowledge behind contributions.
But what appears to be happening is a race driven by FOMO. Teams are being told to use more and more AI to speed up their productivity. Surely their competition is using AI to build more features, fix long-standing bugs, and make products more efficient. By not spending money on tokens it allows the competition to expand their share of a market. They can’t accept that; shareholders, investors, and owners would replace them with someone who is willing to pull out all the stops.
Yes but who’s going to develop their skills enough to be making good architecture decisions if from the beginning of their career they have an Easy Button ?
those places are vanishing fast and are extremely difficult to find these days (and that will only get worse)
If you have downtime ("waiting") and are complaining about not learning anything, I think that's on you.
In my experience, using LLMs to automate boring tasks gives time to learn about the interesting parts.
As to working 10 hours a day, was he working less hours before LLMs, or what's the relevance?
Why work ten hours a day if the computer is doing the work?
Now you know how everyone felt when horses were replaced by cars. Technology has not shortened anyone's work day. Only radical labor has.
I find it incredibly interesting that the topic of a 4 day work week came up seemingly quite seriously during Covid, yet I haven't seen any mention of it since ChatGPT was announced.
No one with cash is going to fund your three day weekend. No billionaire is pushing AI so we can all get a Universal Basic Income.
I wonder how many people spend less time working but don't spend less time at work, though. I'm sure it depends on the role/company, but there must be some cohort it's enabled to slack harder for now. Probably not engineers.
Graeber’s Bullshit Jobs covers this at length. There is a lot of employment that just needs a butt in the seat when or even just in case they are needed. It’s really a bit tragic how many man/woman-hours are wasted due to lack of creativity.
I call bullshit on that book. I've never worked anywhere that kept people on just for the sake of it. Sure there might have been people who probably should have been fired, but the job they performed wasn't fake.
Trying to code with a harry potter magic spell will have issues of alignment over time.
Software development has always evolved.
A preference for it to stay the same way isn't always in our hands.
You can have a say in how software development evolves by how you choose to learn the tools in a way that can influence other people.
If models are getting exponentially cheaper and more powerful, going all in a year ago is kind of insane. There's ostensibly this reverse token value inflation where whatever you spend on AI today, you'll get much more for the same dollar tomorrow (assuming models get cheaper and better). There's really a weird sort of late mover's advantage to just holding off and saving your money unless you expect your profit to grow faster than AI becomes more powerful.
You could make this claim right now as well, may as well wait now until the models are cheaper and better later.
You could say in a years time that going in now was kind of insane.
Like everything in tech, it's a trade-off.
Go faster now and get the benefits now (as TFA said, they did ship a lot of stuff very quickly), but risk piling up a huge amount of tech debt? Or wait and get less short term benefit, but more long term benefit?
The sane move in such an environment is to wait and let other people leeroy jenkins in and make mistakes, learn from their blunders, and only move once clear best practices are in place.
My point is that you don't know when you're actually at that point. The only way you can make learn from blunders is to make some mistakes yourself. Waiting will only inevitably ensure you make mistakes others did a year ago.
Waiting is also a risk averse take and many organisations don't want to wait and are prepared to spend extra
Risktaking is necessary for startups (and part of their advantage), but most larger organizations are generally risk averse to a fault.
Not only is predictability very important for publicly listed companies if they want any investors what so ever, many organizations older than say 25 years have a near constant hangover caused by poor tech decisions they've made in the past, redundant duplicate systems due to mergers and acquisitions, half-finished attempts to migrate a COBOL system to something newer, an Oracle DB license that costs a third of the IT budget they can't migrate off. The older the org the nastier it gets.
This is why the business world not only runs on Java, but old Java, it's why AAA game studios keep rehashing the same safe bets rather than trying something different, why Hollywood has turned into an assembly line for making superhero movies, why the sky is full of airliners designed in the 1960s.
This is only a sane move if the thing you're optimizing is to make the best product with no regard for time.
Unfortunately, time is a constraint for every company that exists, and a kinda-crappy implementation of something that's available today often beats a perfect implementation tomorrow.
Why is time a constraint?
Like with accelerating productivity gains, the actual wall clock start-to-end time is mostly unchanged if you wait with starting a project, you can always catch up, why does it matter if I do most of the work in the beginning of a project, or toward the end?
If you have users that want a feature, are you telling them, wait six months and I'll give you a perfect implementation, or, here's a 80% good enough feature you can use tomorrow?
If you have users, presumably your users are already paying you, so why are you rushing out half-baked features to meet their feature requests? They'll almost certainly keep paying you whether the feature comes tomorrow or in six months.
Changing vendors is a pain in the ass, especially in B2B. Like case in point, Confluence has been around for 20+ years and still doesn't have a working search function, and is comically useless it is at everything it does. Yet businesses all over the world are all in on that garbage.
I dunno, personally I learn best by fucking up myself, even observing others fucking up from afar seems to not nearly have the same impact and knowledge-gaining. I always make sure to learn in low-stakes environments though, not like Facebook's "Move fast, break democracies" approach.
Well you can still fiddle on projects if you feel like it. But like maybe don't bet the entire business on a venture to figure out best practices for AI coding.
Growth and change is so fast that waiting is almost a virtue. Why spend effort getting opus 4.8 to work on my codebase when opus 5.5 will arrive within 8 months anyway? Why spend effort getting opus 5.5 to do anything when opus 6 will arrive in the near future?
The only things that I do with AI at my job are easy things. AI hasn’t transformed hard work in quite the same way, but it has given me access to knowledge and information about things and processes that I didn’t have before. It also forces me to write things down, which is perhaps a not insignificant amount of the improvement in our business
> saving your money unless you expect your profit to grow faster than AI becomes more powerful.
You haven't really said how you actually get "more". Selling stuff usually works by resolving a need or want your customers have. If you can use AI as a tool to resolve one such want today, how will resolving it for 1/10th the cost in a few months actually help your business?
Even if you're making a new invention or something, sitting on the idea until you can make it for fewer dollars, will just open up to somebody else doing it earlier. And they'll have time to work out any kinks that inevitably only appear during actual testing...
But then you won't know how to efficiently use AI, so you'll still end up spending more money when you start using it, nullifying any of the micro-optimization you were trying to do in the first place.
Aren't AI companies aiming at a level of AI that would basically be "do this app" and will take care of everything?
If not, what are they even doing that they keep burning through piles of cash?
I wish "how to efficiently use AI" was a deep subject; it isn't. You point it at problems and they get solved. It's mega boring, and the main reason I'm looking to leave the industry.
Overengineering it can also harm performance. When a new model comes out with a different system prompt, custom instructions can become a hindrance.
Why do you have to personally invent how to effectively use AI? You can learn from other people's mistakes, wait for best practices to settle. Be Java.
> Be Java.
Ok if this is the advice then I'm gonna look for a second opinion first. :)
More seriously: making any crap with AI is trivial and doesn't need learning. Making something better and more valuable than all the competitors *that have the same tools as you* is more involved, and relies 100% on knowing how to extract unique value from the tools. A part of that comes from your product/industry expertise (acquired before AI, much like your competitors), but unless you're a genius or in a greenfield, what will matter will be the other part where you have trained hard to be a better driver than your competition who just waited and watched a few youtubes.
So what you're really saying is to... hodl your tokens?
Wouldn't be surprised if a "year ago" is a rough estimate.
I recall mid-to-late November 2025 being a big inflection point where it finally became obvious that these things could actually be trusted to do a decent amount (but not all) of the coding. So maybe it was more like 8 months ago or whatever that they went all-in, close enough to a year for a random reddit rant.
The overall gist of what the person posted matches my experience though. The fall-off on understanding the code to any meaningful degree happens very quick once you give full rein to the LLM and lean into mostly-automated reviewing.
It depends on how you read the market - not the AI market, but the one your code is addressing. If it's a growth market with some lock-in, being first matters a fair amount. If you didn't have the people to hand-code it, then you want to code it as soon as you have the (people + money for tokens) that will get it done.
But if that isn't your competitive landscape...
> There's ostensibly this reverse token value inflation where whatever you spend on AI today, you'll get much more for the same dollar tomorrow
"reverse token value inflation"?
Do you perhaps mean "deflation"?
One thing which was put forward a while back was Literate Programming as an aid for LLMs to parse/work with code:
https://news.ycombinator.com/item?id=47300747
Try having the agents consistently document the entire code base, then review each section and see what can be understood/worked with?
Meanwhile before AI, very large code bases existed where nobody fully understood them, people churned at these companies or projects, and who knows what is in them (xz backdoor)
Yeah this is what happens when you think code is the product. It's really the understanding and also the design of the software that is the "engine" of value, and the problem is that it's hard to justify spending money to build something that is intangible and might be visible in the future.
When non-technical people call the shots, they will rarely bet on spending time and effort on designing things properly because they can't see the value and it's hard to communicate and convince others of its business value.
Also think about it in terms of start up value. The value of your business is a combination of employee expertise and customer/client relationships. Everything else can be reverse engineered. If all you have is a product written by AI then who cares?
If only we'd tried shipping all the understanding to coding sweatshops in India with identical disastrous results 20 years ago, maybe we would have learned from that.
I see what you did there.
on the flip side of this witty comment, (very very very) few of these that went to Bangalore etc ever returned home…
Just do what management wants and take the bag of money. That's all everyone is doing up the chain anyways.
Even disregarding the direct arguments that can be made against normalizing this attitude, there isn't a bag of money for most developers. HN is biased to think of the typical smart, hard-working software developer as making enough for a middle-class or upper-middle-class lifestyle, but that hasn't been the case even since before the LLMs of the past couple years. Businesses are offloading more and more and more of the effects of inflation onto employees, rather than sharing the burden. A handful of factors are being used as excuses to accelerate this trend, and AI is one of them.
Welcome to the world the majority of the workforce lives in unfortunately.
> Except half of us haven't written anything non trivial in a year and it shows. I spent 2 days on something I would have done in an afternoon in 2024.
This is the part that bugs me with AI usage is that it drives the use of it to benefit the company but not the individual. Yes AI allows me to be faster as work (in theory), but as a result I lose out in my own learning as an employee, I lose out in my own cognitive ability to learn, make mistakes and build upon my knowledge and skills.
benefiting the company is the whole point, they cut the checks, yes? why would any company give a hoot about yours or mine cognitive ability to learn or your knowledge/skills? if they deteriorate to the point you can’t be productive any longer they will replace you
Yes I agree, this is what I am getting at
What benefit is there for the individual to have cognition when we reach out to AI to do all of this for us?
The benefit for the individual is in the process, which AI is slowly removing.
The joy in what we do is based on the process not only the output.
You are not paid to feel joy. If you want to feel joy, use the weekend.
I know it sounds cold, but it's true. I totally get where you're coming from. I say this because your methodology of approaching the issue will fail.
If we want "succeed" we need to find places where we produce greater utility then AI. We have to find places where we are better.
Asking for joy isn't going to mean anything in the end.
That’s a very narrow notion of what is possible in life, to think the only option in employment is to trade misery for cash. Plenty of people have and continue to experience careers wherein they pursue their passion.
But I agree that it’s over for those passionate about code wanting to make a living that way. I switched careers to clockmaking.
> This is the part that bugs me with AI usage is that it drives the use of it to benefit the company but not the individual. Yes AI allows me to be faster as work (in theory), but as a result I lose out in my own learning as an employee, I lose out in my own cognitive ability to learn, make mistakes and build upon my knowledge and skills.
Your well-being and self-improvement is not a priority for your capitalist employer, especially given ideological changes over the past 70 or so years. They would just as rather use you up, throw you away, and replace you with something else, if that was more convenient for them.
Isn't it wonderful to be on your own? Remember that next time someone talks about starting a union.
I agree to an extent, however for the most part your experience and ability to do your job to date has been how you differentiate yourself and provide value.
AI has eroded that value enormously
Engineers adopting this so quickly always looked like useful idiot behavior to me.
Catsarch link for those who don't want to use reddit with an account:
https://redlib.catsarch.com/r/ClaudeCode/comments/1xq2n3t/a_...
It means the mandate was not detailed or developed enough yet to be able to look out for the things that needt o e now.
Someone is rife for disruption.
I really wish more folks would have the stones to name and shame these shitty companies and leaders in public. Stop letting the C-Suite control the narrative and just be bluntly honest with these slapdash, fad-chasing, shitshow LLM “implementations”.
It’s not properly using the tools, it’s not improving products, it’s just burning money in the furnace of Anthropic, Google, Microsoft, Oracle, nVidia, and OpenAI. You’re not building world-changing pipelines, your executives demanded you gamble at the slop machine as fast as possible to inflate share values so they can parachute out.
You owe them nothing, so start snitching. Scream openly about the harm this blind push into fads did to the humans, the product, the customers, and the shareholders. The truly excellent use of LLMs continues getting overshadowed by the blind fealty marches and purity tests orgs instituted around mass-adoption and cognitive-offloading, and you’re doing every stakeholder a disservice by pussy-footing around the issue.
Find your spine and name names.
Pangram said the op post is 100% AI generated.
It does seem to have ai pacing and ends with a question.
> The part that actually hurts is who is left.
That line actually made me suspicious. Op doesn't respond, also has a hidden profile.
This stuff is all over reddit now.
> and ends with a question.
It's a reddit post - it ending by asking if others have had a shared experience hardly seems out of the ordinary.
It could have started with the question. The question could have been in the middle. It could have ended with a sentence after the question. But it's one aspect of the whole post that shows it's some weird engagement bot post.
This thread is discussing something that's not real. People are forming opinions and discussing it. Unless everyone's a bot?
I really don't get that from reading it several times over now. Maybe the paragraph starting with "The part that actually hurts is who is left...", but even that's a stretch for me.
> The question could have been in the middle
Tbh I would have found this much weirder.
Maybe not literally middle
> Not sure what I want from posting this.
> Is anyone else at the point where the mandate is being walked back, and how did you get the understanding back?
These two sentences could have been reversed and it would have been fine.
The post could have ended without the question and would have been fine.
I'm pretty sure I'm right that this is a fake post. Are you disagreeing that this is fake or ai written? Or with how I came to that conclusion? It's not the only tell, but one of a few.
> I'm pretty sure I'm right that this is a fake post. Are you disagreeing that this is fake or ai written? Or with how I came to that conclusion? It's not the only tell, but one of a few.
You're potentially moving the goalposts now - your initial claim is that the post is AI generated, now you're also asking if it's fake.
It may be fake (I wouldn't know how to tell if so or not). What I'm voicing skepticism over is whether or not it is AI generated.
The dead internet theory was a joke until it wasnt. I find it genuinely unsettling.
> Pangram said
I wish people stopped posting what Pangram said. Pangram set an impossible task before them — either they're grifters or naive. They use a magic box to determine whether someone else used a magic box, giving you a bullshit result.
You can take a bunch of clues and decide if its a post worth engaging with. It did say 100%, and there's other clues that make it seem like bot spam.
What stops someone from writing a prompt that includes: "run your response through Pangram and keep adjusting until it thinks it was written by a human"
Time? Money? The tool is still good enough if it can detect the 99% of people who won't do that.
It's def written by AI but that doesn't mean that he's a bot. Just a coward. LOL!
It's not surprising someone like that has stopped using their brain for writing English as well.
You think there's a real person behind this still? That seems like really weird behavior.
Posted in a subreddit for vibe coding enthusiasts.
Top-rated reply tells submitter to solve their AI problem by adding more AI.
Magnificent.
This is the very obvious logical conclusion of AI and programming. The bean counters don't care if you understand anything, or if your skills atrophy. Unless and until the cost of no one understanding the code outweighs having to pay those pesky humans and all their wants and needs, this will continue to be the norm.
oh cmon it's not like AI existed since they were born. if they seriously forgot how to code in the 6 months AI was mandated then they deserve to be restructured. some of these reddit posts are pure bait or bs
I guess mgmt also mandated they use AI to write their reddit posts?
What do you do when your entirely AI written codebase runs like shit? Do you prompt it to "do better"?
"Find the things that you did that are badly, and do them better. Add a directive to claude.md to do it right the first time, next time."
If AI codes better than humans, I don't understand why it has a dozen copies of stuff everywhere. Even people who suck don't suck that much. I don't even understand how you can get away with it unless you're writing functional code.
One counter argument to this is that realistically nobody 'understood' the codebase even before AI.
A couple months after not touching code it was always a mystery. You'd know the high level architecture but you can still know that even while using AI.