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Companies That Tried to Save Money With AI Are Now Spending a Fortune Hiring People to Fix Its Mistakes

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  • 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)

    Getting to deprecate legacy support... Yes please, let me get my eraser.

    I find most tech debt resolution adds code though.

  • 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.)

    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...

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    And no doubt struggling to blame their bad decisions on each other and preserve their salary bonuses.

  • 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.)

    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.

  • 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.)

    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?

  • What these companies didn't take the time to understand is, A.I. is a tool to make employees more efficient, not to replace them. Sadly the vast majority of these companies will also fail to learn this lesson now and will get rid of A.I. systems altogether rather than use them properly.

    When I write a document for my employer I use A.I. as a research and planning assistant, not as the writer. I still put in the work writing the document, I just use A.I. to simplify the tedious data gathering and organizing.

    My daughter has used AI a lot to write grant proposals, which she cleans up and rewords before submitting. In her prompts she tells it to ask her questions and incorporate her answers into the result, which she says works very well, produces high quality writing, and saves her a ton of time. She's actually a very competent writer herself, so when she compliments the quality I know it means something.

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    McNamara fallacy at its finest. They hear figures and potential savings and then jump into the hype without considering the context. It is the same when they heard of lean manufacturing or Toyota way. Companies thought it is cost saving rather than process improvement.

  • 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.)

    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.

  • They should have just asked me. I knew that would be the result years ago. Writing has been on the screaming wall of faces while the faces also screamed it.

    Management doesn't ask people they want to fire is firing them is a good idea. They themselves would lie like crazy to keep their job and assume therefore everything the developers say would be a lie too.

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    Companies with stupid leaders deserve to fail.

  • My daughter has used AI a lot to write grant proposals, which she cleans up and rewords before submitting. In her prompts she tells it to ask her questions and incorporate her answers into the result, which she says works very well, produces high quality writing, and saves her a ton of time. She's actually a very competent writer herself, so when she compliments the quality I know it means something.

    That's a good way to use the tool. I generally use the OpenAI option to set up a custom gpt and tell it to become an expert on the subject I'm writing about, then set the parameters. Then once I've tested it on a piece of the subject matter I already understand and confirm it's working properly, I begin asking it questions. When I'm out of questions or just need a break, I go back and check the citations for each answer just to make sure I'm not getting bad data.

    Once I've run out of questions and all the data is verified, I have it create an outline with a brief summary of each section. Then I take that outline and use that to guide me as I write. Also it seems like the A.I. always puts at least one section in the wrong place so that's just another reason I like to write it myself and just use an A.I. summary outline.

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    AI: The new outsourcing?

  • 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.)

    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.

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    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.

  • Jean-Baptiste

    Emmanuel

    Zorg

  • 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.

    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?).

  • 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.

    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.

  • 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.

  • 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.)

    Sounds like you need to start a company and per diem staff.

  • 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.

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    I know, I was just being snarky
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    They’re trash because the entire rag is right-wing billionaire propaganda by design.
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    You could look into automatic local caching for diles you're planning to seed, and stick that on an SSD. That way you don't hammer the HDDs in the NAS and still get the good feels of seeding. Then automatically delete files once they get to a certain seed rate or something and you're golden. How aggressive you go with this depends on your actual use case. Are you actually editing raw footage over the network while multiple other clients are streaming other stuff? Or are you just interested in having it be capable? What's the budget? But that sounds complicated. I'd personally rather just DIY it, that way you can put an SSD in there for cache and you get most of the benefits with a lot less cost, and you should be able to respond to issues with minimal changes (i.e. add more RAM or another caching drive).