Companies That Tried to Save Money With AI Are Now Spending a Fortune Hiring People to Fix Its Mistakes
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Yet their reputations will somehow never return...
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And no doubt struggling to blame their bad decisions on each other and preserve their salary bonuses.
Nah all they have to say is "that is what the guy from the XYZ consultancy suggested. He told me that everyone is replacing their coding teams with %95 AI assistants and a single newly graduated programmer that works for food."
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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.
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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.
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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.
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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.)
EDIT: Since my comment has gained a lot of traction I've marked down peoples user names and portfolios/emails to my dev list. If something more comes up (and trust me, it will) I'll shoot you an email or msg on here. Currently I've already shoved off a bunch of stuff to others and have nothing as of now but I imagine that will change by next week so if more stuff comes up I'll shoot you an email or DM.
How much is the pay for those gigs?
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Same thing happened during the outsourcing craze of early 2000s. Everything and I mean everything moved to India or Philippines. There's even a movie about it because it was so common. I and everyone else lost our jobs. about a year later the contracts expired and we all got jobs back and outsourcing is used in balance. Eventually ai use will be balanced I hope. It cannot replace us. Not yet anyways.
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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.
essentially, from what I've been dealing with, most if it is their offshore people using the AI to completely do the job from start to finish and no one is verifying anything. So it's not even vibe coding, it's "here's a prompt, build it, i'm pushing it to production" coding.
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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?
primarily medium to large companies. the smaller startups seem to know better. the former laid off a bunch of staff and in most cases offshored the work to people who ONLY use AI to build things. A few rare cases it's been a Project Manager who paid for a Claude.ai subscription and had it build things from start to finish then push to production. If I see something that has a gradient background I know they had Claude build it.
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Same thing happened during the outsourcing craze of early 2000s. Everything and I mean everything moved to India or Philippines. There's even a movie about it because it was so common. I and everyone else lost our jobs. about a year later the contracts expired and we all got jobs back and outsourcing is used in balance. Eventually ai use will be balanced I hope. It cannot replace us. Not yet anyways.
AI needs to be used as a tool for workers, not a replacement for workers. They will figure it out eventually.
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essentially, from what I've been dealing with, most if it is their offshore people using the AI to completely do the job from start to finish and no one is verifying anything. So it's not even vibe coding, it's "here's a prompt, build it, i'm pushing it to production" coding.
LOL, sort of like hiring the CEO's unemployed brother in law to build your new factory because he has a friend who knows about construction.
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To be fair, 0.2 + 0.1 = 0.30000000000000004
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