The even brighter side of it is that it should be easier to spot these companies when job hunting.
IMO: Demand higher wages and iron clad contracts from them because they already demonstrated how they feel about paying people.
They’ll surely cut anyone they can again as soon as they can.
Very expected. It’s fine. I’ll come back at 10 times my previous rate. And you’ll thank me for it. Fucking chads.
Yet their reputations will somehow never return…
Deserved and expected
no surprise
thats because the main peddlers are the ceo/csuites of these tech companies, and the customers arnt people like you or me, its other corporate heads. in case of palintir it would be the government.
AI as it exists today is only effective if used sparingly and cautiously by someone with domain knowledge who can identify the tasks (usually menial ones) that don’t need a human touch.
Some good examples from the bookkeeping/accounting industry is automating the matching of payments to the invoices and using AI to extract and process invoices.
This 1000x. I am a PHP developer, I found out about two months ago that the AI assistant is included in my Jetbrains subscription (All pack, it was a separate thing before). And recently found about Junie, their AI agent that has deep thinking (or whatever the hell it is called). I tried it the same day to refactor part of my test that had to migrated to stop using a deprecated function call.
To my surprise, it required only very minor changes, but what would’ve taken me about 3 hours was done in half an hour. What I also liked was that it actually asked if it can run a terminal command to verify thr test results and it went back and fixed a broken test or two.
Finally I have faith in AI being useful to programmers.
For a test, I took our dev exam (for potential candidates) and just sent it to see what it does just based on the document, and besides a few mistakes it even used modern tools and not some 5 year old stuff (like PSR standards) and implemented core systems by itself using well known interfaces (from said PSRs). I asked it to change Dependency Injection to use Symfony DI instead of the self-made thing, and it worked flawlessly.
Of course, the code has to be reviewed or heavily specified to make sure it does what it is told to, but all in all it doesn’t look like just a gimmick anymore.
it doesn’t look like just a gimmick anymore.
It still does 😞
Absolutely, this matches my experience. I think this is also the experience of most coders who willingly use AI. I feel bad for the people who are forced to use it by their companies. And those who are laid off because of C-levels who think AI is capable of replacing an experienced coder.
Let them burn.
As someone who has been a consultant/freelance dev for over 20 years now this is true. Lately I’ve been getting offers and contacts from places to essentially clean up the mess from LLMs/AI.
A lot of is pretty bad. It’s a mess. But like I said I’ve been at it for awhile and I’ve seen this before when companies were offshoring anything and everything to India and surprise, surprise, they didn’t learn anything. It’s literally the exact same thing. Instead of an Indian guy that claims they know everything and will work for peanuts, it’s AI pretty much stating the same shit.
I’ve been getting so many requests for gigs I’ve been hitting up random out of work devs on linkedin in my city and referring the jobs to them. I’ve burned through all my contacts that now I’m just reaching out to absolute strangers to get them work.
yes it’s that bad (well bad for companies, it’s fantastic for developers.)
How much is the pay for those gigs?
We’ve hired a bunch of Indian guys who are using AI to do their work… the results are marginally better than either approach independently.
a negative times a negative is a positive?
More like 0.10 + 0.05 = 0.20, in this case.
To be fair, 0.2 + 0.1 = 0.30000000000000004
That’s what happens when you have Intel inside ;o)
(Yes, yes, I know, it’s the whole binary based floating point thing, not just Intel, although my Atari 800 BASIC interpreter implemented floating point in BCD, so it didn’t have that issue.)
Retired dev here, I’m curious about the nature of “the mess”. Is it buggy AI-generated code that got into production? I know an active dev who uses ChatGTP every day, says it saves him a hell of a lot of work. What he does sounds like “vibe coding”. If you’re using AI for grunt work and keep a human is in the workflow to verify the code, I don’t see how it would differ from junior devs working under a senior. Have some companies been using poorly managed all-AI tools or what? Sorry for the long question.
An example from work a few weeks ago. I fixed some vibe coded UI code that had made it to prod. The layout of the UI was basically just meant to be an easy overview of information relevant to an item. The LLM had done everything right except it assumed a weird mix of tailwind and bootstrap, mixing and matching css classes from both. After I implemented the classes myself it went from a single column view to grids and nested grids grouping the data intuitively. I talked with the dev who implemented it, and basically it was just something quickly cobbled together with AI until it was passable. The AI had added a lot of extra that served no function and that didn’t conform to a single css framework, but looked like it could. For months noone questioned it despite talk about that part of the UI needing a facelift.
I don’t know how representative it is, but about half the time I’m thoroughly confused about a piece of code and why it was written the way it was, the answer has turned out to be AI. And unlike when a developer wrote it, there rarely is any reason to have written it the weird way.
TBH that sounds like a lot of code I’ve seen from outsourcing companies in India. Their typical approach is to copy an existing program, module, web page or whatever and modify it as quickly as possible to turn it into what’s needed. The result is often a mishmash of irrelevant code, giant data queries that happen to retrieve some field that’s needed along with a ton of unnecessary crap, mixing frameworks, etc.
Think of AI as a hard working, arrogant, knowledgeable, unimaginative junior intern.
The vibe coding is great for small, self contained tasks. It doesn’t scale to a codebase (yet?).
They learned that by the time all of their shitty decisions ruin everything, they’ll be able to bail with their golden parachute while everyone else has to deal with the fallout.
Sounds like you need to start a company and per diem staff.
I imagine you aren’t talking about large companies that just let ai loose in their code base. Are these like companies that fired half their staff and realized llms couldn’t make up for the difference, or small companies that tried to make new apps without a proper team and came up short?
Send them my way! I’m freelance currently and good at cleaning up that kind of stuff
Would you happen to be willing to throw work to random out-of-work devs who aren’t in your city? I may know a couple over here in England…
Throw us some work if you like, although I already work as software engineer but wouldn’t turn down a side gig cleaning up after LLMs.
Sometimes it is a bunch of Indian guys pretending to be AI!
Ah so AI does create jobs, it’s the Zorg logic
Jean-Baptiste
Emmanuel
Zorg
Pretty damn good jobs too, tbh.
I hope this is true. I would like to have a job again.
It’s true, although the smart companies aren’t laying off workers in the first place, because they’re treating AI as a tool to enhance their productivity rather than a tool to replace them.
I don’t know if it even helps with productivity that much. A lot of bosses think developers’ entire job is just churning out code when it’s actually like 50% coding and 50% listening to stakeholders, planning, collaborating with designers, etc. I mean, it’s fine for a quick Python script or whatever but that might save an experienced developer 20 minutes max.
And if you “write” me an email using Chat GPT and I just read a summary, what is the fucking point? All the nuance is lost. Specialized A.I. is great! I’m all for it combing through giant astronomy data sets or protein folding and stuff like that. But I don’t know that I’ve seen generative A.I. without a specific focus increase productivity very much.
It helps with translating. My job is basically double-checking the translation quality and people are essentially paying me for my assurance. Of course, I take responsibility for any mistakes.
As a senior developer, my most productive days are genuinely when I remove a lot of code. This might seem like negative productivity to a naive beancounter, but in fact this is my peak contribution to the software and the organization. Simplifying, optimizing, identifying what code is no longer needed, removing technical debt, improving maintainability, this is what requires most of my experience and skill and contextual knowledge to do safely and correctly. AI has no ability to do this in any meaningful way, and code bases filled with mostly AI generated code are bound to become an unmaintainable nightmare (which I will eventually be paid handsomely to fix, I suspect)
That’s what I suspect. ChatGPT is never wrong, and even if it doesn’t know, it knows and still answers something. I guess its no different for source code: always add, never delete.
Yesterday it tried to tell me Duration.TotalYears() and Number.IsNaN() were M functions in the first few interactions. I immediately called it out and for the first time ever, it doubled-down.
I think I’m at a level where, for most cases, what I ask of LLMs for coding is too advanced, else I just do it myself. This results in a very high counts of bullshit. But even for the most basic stuff, I have to take the time to read all of it and fix or optimise mistakes.
My company has a policy to try to make use of LLMs for work. I’m not a fan. Most of the time I spend explaining the infrastructure and whatnot would be better spent just working, because half the time the model suggests something that flies in the face of what’s needed, or outright suggests changes that we can’t implement.
It’s such a waste of time and resources.
Getting to deprecate legacy support… Yes please, let me get my eraser.
I find most tech debt resolution adds code though.
A lot of bosses think developers’ entire job is just churning out code when it’s actually like 50% coding and 50% listening to stakeholders, planning, collaborating with designers, etc.
A lot of leadership is incompetent. In a reasonable, just, world they would not be in these decision making positions.
Verbose blogger Ed Zitron wrote about this. He called them “Business Idiots”: https://www.wheresyoured.at/the-era-of-the-business-idiot/
I just watched an interview of Karen Hao and she mentioned something along the lines of executives being oversold AI as something to replace everyone instead of something that should exist alongside people to help them, and they believe it.
And if you “write” me an email using Chat GPT and I just read a summary, what is the fucking point?
Fuuuck, this infuriates me. I wrote that shit for a reason. People already don’t read shit before replying to it and this is making it so much worse.
I was a frontend developer and UI/UX designer that specialized in JavaScript and Typescript with emphasis on React. I’m learning Python for Flask. I’m skipping meals so I can afford Udemy courses then AWS certifications. I don’t enjoy any of this and I’m falling apart.
Hey there. Of course, I am in no position to say “do this, and it will be all right”, but I will say that if there is any other way to live that won’t put this kind of load on you - do it. You being happier is way way more needed in this world than you getting those certificates
I can’t think of any other options that don’t end in the best case scenario of myself being elderly and destitute.
Fuck. Sorry to hear. Though that means all this ai bullshit won’t drown you, since you are after actual knowledge and skill. And if this makes any difference, I for one wish your life to be as sparing as it can possibly get
So some places started forcing developers to use AI with a quota and monitor the usage. Of course the devs don’t go checking each AI generated line for correctness. That’s bad for the quota. It’s guaranteed to add more slop to the codebase.
Productivity will go up, wages will remain the same, and no additional time off will be given to employees. They’ll merely be required to produce 4x as much and compensation will not increase to match.
It seems the point of all these machines and automation isn’t to make our individual lives easier and more prosperous, but instead to increase and maximize shareholder value.
Idk about engaging productivity.
If your job is just doing a lot of trivial code that just gets used once, yeah I can see it improving productivity.
If your job is more tackling the least trivial challenges and constantly needing to understand the edge cases or uncharted waters of the framework/tool/language, it’s completely useless.
This is why you get a lot of newbies loving AI and a lot of seniors saying it’s counter productive.
Does anyone have numbers on that? Microsoft just announced they’re laying off around 10k.
Microsoft did the June layoffs we knew were coming since January and pinned it on “AI cost savings” so that doing so would raise their stock price instead of lower it.
they also admitted that thier AI isnt generating profit too.
Doesn’t that have more to do with Gamepass eating game studios’ lunch though? And a lot less with AI? Just regular ol’ dumbass management decisions.
It’s Microsoft would make most sense its mangement decisions considering recently theyve pulled all the stops out to guarantee the software cant be shittier. They even made all there software spyware now.
Fewer workers are required when their productivity is enhanced.
So conversely, we’ll need more workers now that generative AI is hindering productivity.
jobs are for suckers, be a consultant and charge triple
I’m absolutely not charismatic enough to pull that off.
youre in luck, i offer consultation for consultancing, now give me money
This person sounds confident! You’d be stupid not to take them up on it.
It’s technically closer to Schrodinger’s truth. It goes both ways depending on “when” you look at it. Publicly traded companies are more or less expected to adopt AI as it is the next “cheap” labor… so long as it is the cheapest of any option. See the very related: slave labor and it’s variants, child labor, and “outsourcing” to “less developed” countries.
The problem is they need to dance between this experimental technology and … having a publicly “functional” company. The line demands you cut costs but also increase service. So basically overcorrection hell. Mass hirings into mass firings. Every quarter / two quarters depending on the company… until one of two things becomes true: ai works or ai no longer is the cheapest solution. I imagine that will rubberband for quite some time. (saas shit like oracle etc)
In short - I’d not expect this to be more than a brief reprieve from a rapidly drying well. Take advantage of it for now - but I’d recommend not expecting it to remain.
The line demands you cut costs but also increase service.
The line demands it go up. It doesn’t care how you get there. In many cases, decreasing service while also cutting costs is the way to do it so long as line goes up.
See: enshittification
Absolutely. I should have used the term productivity rather than service. Lack of caffeine had blunted my vocabulary. In essence: more output for less work. Output in this case is profit.
Enshitification is, in essence, the push beyond diminishing returns into the ‘lossy’ space … sacrificing a for b. The end result is an increasingly shitty experience.
I think what makes enshittification is “give users less and charge more”. It’s about returning shareholder value instead of customer value.
Netflix is a great example. They have pulled back on content, made password sharing more challenging, and increased cost. They still report increases in paying users.
They’ve done the math. They know they can take lost in users because they know they’ll make up for it. That’s the sad part in all of this.
They’ve done the math. They know they can take lost in users because they know they’ll make up for it. That’s the sad part in all of this.
They really haven’t taken massive hits because we are creatures of habit: it’s more convenient to hang around even if we know we’re getting ripped off. There is a conversion rate - but it’s low enough where clearly they believe the market will bear more abuse.
Companies with stupid leaders deserve to fail.
Well what ends up happening is some company will have a CEO.
He’ll make all the stupid decisions. But they’re only stupid from everybody ELSES perspective.
From his perspective, he uses AI, tanks the companies future in the chase of large short term stock gains. Then he gives himself a huge bonus, leaves the company, gets hired somewhere else, and gets to say “See how that company is failing without me? That’s because I bring value to the brand.”
So he gets hired at the neeeext place, meanwhile that first company is failing because of the actions of a CEO no longer employed there, and whom bailed because he knew what was coming.
These actions aren’t stupid. They’re plotted corruption for the benefit of one.
No that never happens /S
I used to work with a supplier that hired a former Monsanto executive as their CEO. When his first agenda came out I told their sales team he was an idiot and to have fun looking for a new job a few months.
The CEO bailed after 2 years to start his own “consulting business.”
1 year later the company lost 75% of their market share and was laying off people left and right. They are still afloat barely.
After a couple years “consulting”, the CEO went to another company in 2023. He didn’t bounce fast enough and got caught on this one. He was fired 2 weeks ago and the company shut their doors except for a handful of staff to facilitate the firesale of the companies assets.
What’s really stupid about this cycle is that some of these fail-upward executives genuinely believe the crap they’re spewing. Weirdly, I think I respect the grifting executives more
Edit: by grifting executives, I mean the ones who participate in that cycle you describe, and are aware of the harms they cause in their wake, but don’t care because they’ve gotten good at knowing when to skip out
The BBC report cited mainly focused on the marketing industry, with the fixing mistake people being the copywriters. This gives a strong vibe of Madman, where you have the “old-fashioned” copywriters and the tension between market research.
Vibe coding is 5% asking for code and 95% cleaning up the code, turns out replacing people with AI is exactly the same.
Jup. But the same goes for developers that go way too fast when setting up a project or library. 2-3 months in and everything is a mess. Weird function names, all one letter vars, no inversion of control, hardcoded things etc. Good luck fixing it.
This is what I fight against every goddamn day, and I get yelled at for fighting against it, but I’m not going to stop. I want to build shit that I can largely forget about (because, you know, it’s reliable and logically extensible and maintainable) after it gets to a mature state, and I’m not shy about making that known. This has led to more than a few significant conflicts over the course of my career. It has also led to me saying “I fucking told you so” more than a few times.
It has also led to me saying “I fucking told you so” more than a few times.
I have had several situations where I didn’t even have to give knowing looks, everybody in the room knew I told them so six months ago and here it is. When that led to problems working with my leadership in the future (which happened more often than not), that was a 100% reliable sign that I would be happier and more successful elsewhere.
Stack Exchange coding is 5% finding solutions to try and 95% copy-pasting those solutions into your project, discovering why they don’t work for you, and trying the next solution on the search list.
I’m still not sure how this is any different than when I used stack exchange for exactly the same thing.
Well, SE code usually compiled and did what it said. I guess that part is different.
Practically negligible then…
However how the heck have you all been using stack exchange? My questions are typically something along the lines of:
“How to use a numpy mask with pandas dataframes”
Not something that gives me 50 lines of code.
Oh, yeah. But I assumed that’s how competent coders use chatgpt. For edge cases and boilerplate.
