Let’s assume that in 10 years, AI has advanced absurdly, insanely fast, and is now capable of doing everything a Senior SWE can do. It can program in 15 different languages, 95% accuracy with almost no mistakes, can create entire applications in minutes, and no more engineers or SWEs are needed… What will all the devs do? Do they just become homeless? Transition to medical field, nursing? Become tradespeople like plumbers, HVAC?

  • Dizzy Devil Ducky@lemm.ee
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    6 days ago

    They’re probably gonna laugh at the absurdity of the situation because some new popular language will come along and the AI will be back to pushing out broken code. That, or laugh because the code in well used languages will include a shit ton of vulnerabilities that wouldn’t be present if real devs had to double check code before pushing it out to the public.

        • sugar_in_your_tea@sh.itjust.works
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          6 days ago

          In this hypothetical, why would we create new languages? What benefit does that have for AI-gen code?

          So either we’re going to improve AI-gen to the point where we rely on it, or human devs are still important in which case new languages matter. The main exception here are languages specifically designed for AI, in which case error-rate would go down.

          So either AI pushes out broken code and human devs are still important, or AI doesn’t push out broken code and new languages aren’t valuable.

          • hex@programming.dev
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            6 days ago

            I think both can happen at the same time. There’s a lot of fkn nerds out there. (I’m a software developer myself)

  • clutchtwopointzero@lemmy.world
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    6 days ago

    Coding is just a part of the overall “programming” problem. Most problematic areas are in translating what the customer wants into code (requirements analysis), modifying code to overcome specific constraints, integration, etc and etc

  • anon_8675309@lemmy.world
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    6 days ago

    Retire. All I ever wanted to be was a programmer. If I can’t do that anymore I’ll just retire. I’m saving/investing every penny I can just in case.

    • sugar_in_your_tea@sh.itjust.works
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      6 days ago

      Same. If I can retire before my job is irrelevant, I’ll work on my own projects on my own terms. If I don’t, at least I have a nice pile of assets and can coast with another job.

      That said, I don’t think people like you and I will have problems, because we’ll adapt. It’s the “programming is just a job” crowd that would have a lot of issues.

  • gedaliyah@lemmy.world
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    6 days ago

    I’m not a programmer, but I don’t think I’d pay for code that was 95% accurate. That sounds buggy af

    • sugar_in_your_tea@sh.itjust.works
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      6 days ago

      I am a programmer, and I also wouldn’t stand for that either. We also introduce bugs and are probably around that 95% rate, but at least we know the most important uses are correct and the person who introduced them can usually fix them quickly. With AI, there’s no guarantee where the bugs will occur.

  • phughes@lemmy.ca
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    7 days ago

    This thread is full of people comparing OPs hypothetical about 10 years from now with last year’s capability.

    Will AI progress that fast? ¯\_(ツ)_/¯ It probably won’t get that good, but it doesn’t matter. If it gets as good as your average junior that’s going to mean something like 100% increase in productivity, which means 50% as many jobs and that’s going to be a BIG FUCKING DEAL.

    Especially when it’s going to be replacing a lot of other types of office workers. What kind of job is your average software dev going to transition to? Tech support? Not anymore. UI Designer? LOL. Manager? And who are you going to be managing?

    If the US doesn’t hit 15-20% unemployment in the next 10 years I’ll eat my hat. I’ll be eating it either way because I’ll be starving to death.

    • Nalivai@lemmy.world
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      6 days ago

      There is a hard limitation on LLM, it doesn’t and by definition can not have a criteria for truth, and unless something completely new emerges, it will never replace a junior, really. Some managers can be convinced that it did, but that will be a lie and the company that believes it will suffer.
      It can transform some junior jobs for sure, some people might need to relearn some practices, there will probably be some shift in some methods, but unless something fundamentally new will appear, there is no way LLM will meaningfully replace meaningful amount of people

  • BigBenis@lemmy.world
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    6 days ago

    Finally free from the Golden Handcuffs, I’d use my extra time to do something I’ve always wanted, like music production, which would also inevitably be taken over by AI.

  • maniii@lemmy.world
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    6 days ago

    Ai-herder or Robot-farmer or Llama-raiser etc etc

    devs still needed to ensure code is sane and not some insane hallucination.

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    7 days ago

    Writing code is last thing you want to do as senior SWE because every line of code is potential debt and maintenence problem.
    The just write code bro, figure out things later attitude is good for R&D, MVP and POC that is like 10% of job.

    Just like with art, writing code like drawing is just a skill. AI is trying to replace the obvious part (that is actually the reward from thinking and describing problem in your head) because it can’t replace thinking. Removing rewards bring us to depression, depression bring us to death.

    Ergo AI will kill economy with no people left to replace it so we will end up to being monkas.
    That’s why I’d say SWE will go to farm and wait untill people in cities will start starving to death because AI stopped working and there is nobody left to fix it.

      • vane@lemmy.world
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        6 days ago

        I am starting to believe that current “AI” is way for corporate to gatekeep the knowledge and as you said lead us to idiocracy. On the other hand people always amaze me on how they can collectively find the way out from these situations and turn the cards to their side. So there is always hope.

  • Vipsu@lemmy.world
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    Honestly people are getting distracted here. Now lets say A.I makes developers 50% more productive thats a huge boost for smaller companies with only handful of developers.

    Many companies are only thinking about reducing costs for themselves but at the same time they’re freeing up a lot of talent for new and old competitors.

    Here’s some food for thought:

    • Open source developers may use A.I to develop better software to close gap between paid alternatives. (Blender, Gimp, Krita, Linux distributions, mastodon, lemmy, pixelfed)
    • Many LLM’s can already be ran freely and locally. These will only get better as technology progresses. This can make selling/profiting from A.I services a lot harder
    • A.I may be used to block ads or obfuscate (create bunch of fake data) user data that is sold to advertisers.
    • Some media sites are already using A.I to write articles. Whats the point when users may just use chatbot to get all the information without ever engaging with the source.

    These are just few that come to mind. but the unkowns with this are quite terrifying.

    • MajorHavoc@programming.dev
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      3 days ago

      Now lets say A.I makes developers 50% more productive

      That’s wildly optimistic. If I recall correctly, early studies are showing the 51% of participants who saw any improvement, reported an average of a 20% improvement.

      Even granting that optimism, since 5% of all software projects are on time and within budget, we may look forward to a whopping leap to 7.5 out of every hundred software projects arriving on time and under budget, in a best case scenario.

      The hard truth no one wants to talk about is that the average software development team is awful.

      This glorified parrot tool of LLMs is one of the coolest we have seen in awhile, but it’s not going to materially fix the awful state of the field of software development.

      The average software development team doesn’t understand how to deliver high quality maintainable solitions on a reasonable timeline.

      AI may mildly improve the delivery timelines of the still very incorrect and over-budget solutions delivered by the average development team.

      • Vipsu@lemmy.world
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        3 days ago

        That’s wildly optimistic. If I recall correctly, early studies are showing the 51% of participants who saw any improvement, reported an average of a 20% improvement.

        Yes the value is wildly optimistic to match the expectations driven by all the hype from these companies pushing their LLM services.

        Even granting that optimism, since 5% of all software projects are on time and within budget, we may look forward to a whopping leap to 7.5 out of every hundred software projects arriving on time and under budget, in a best case scenario.

        The hard truth no one wants to talk about is that the average software development team is awful. The average software development team doesn’t understand how to deliver high quality maintainable solitions on a reasonable timeline.

        You’re oversimplifying things here there are a lot more variables that influence success in software projects. The company you work for might have oversold the project, the client might only have vague understanding of what they really want, project management may fail to keep the costs, developers or timeline in check, client or the company you work for might have high employee turnover causing delays as new employees need proper induction to the project, the initial tech stack may become deprecated or obsolete mid-way the project, etc

        • MajorHavoc@programming.dev
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          3 days ago

          You’re oversimplifying things here there are a lot

          I think… we’re agreeing?

          My point is that what is currently possible with AI doesn’t solve any of that.

          People in this thread keep discussing growth in programmer productivity as if programmer typing speed and number of languages known are the limiting factors of programmer productivity. They are not. It’s all the other bullshit that makes (the vast majority of) programming projects fail.

          My source: I know so many programming languages and I type insanely fast. My team is also productive beyond all reason. These two tidbits are only related in that I tried and failed with the first before succeeding with the second.

  • Phoenixz@lemmy.ca
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    7 days ago

    Once AI can develop code it can be used to improve itself in a feedback loop that would take short time to reach skynet.

    We’d be the last of our species once it would want more resources than we’d be able to give it

    • maniii@lemmy.world
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      6 days ago

      There is a term but I forget but its something like ai-slop or ai collective hallucinations. If you feed enough ai-gen output back as ai input it becomes some insane garbage.

  • GreenKnight23@lemmy.world
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    7 days ago

    I’ll take what money I have stashed away and buy a nice secluded parcel of property with dummy low taxes away from people.

    I’ll grow my own food, hunt, forage, etc.

    I’ll do odd jobs to fill in the gaps when needed. anything from tech consulting to roof repairs.

    I’ll refuse to use any technology unless a job requires it.

    and I’ll wait for the inevitable collapse of technological society because a vulnerability was baked into the AI every company is using and nobody knows how to fix it.

    I refuse to be a part of a system that denies me a seat at the table.

    • maniii@lemmy.world
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      6 days ago

      Combine harvesters are used to till, plow , sow seed , spray, water, reap and manage farms and most livestock have dedicated automated farming tools like cow milkers, feeders, shearers, etc. How long before no humans needed to hunt or forage or farm? When food is even cheaper to produce( of course the ai overlords and ai royalty ) but will hunger games everyone to get the artificially shortage and scarcity farm for vast amounts of resources to select groups.

  • deathmetal27@lemmy.world
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    8 days ago

    You seem like someone who hasn’t really worked in software development.

    Software engineering does not simply mean coding. A production grade software application goes through analysis, design, implementation (where coding happens), testing (several phases), release and maintenance. Not to mention infrastructure concerns (storage, databases, microservices, service orchestration, middleware, etc). The whole process is too nuanced and complex to conclude that AI would make the whole career obsolete. It might shake up some areas of software engineering but only a small part of it.

    You’ll still need people to verify that the AI generated application actually behaves as per the business logic, runs optimally with the hardware you have and scales as your business grows. Which means engineers for testing and reviewing the generated code plus engineers to setup the infrastructure where the application will run.

  • hperrin@lemmy.ca
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    7 days ago

    You have to understand what software can do, how to design it, and how it should interact with other systems in order to write software and not just code, and AI can’t do that. If you tell it to make you A, and what you really want is B, you’ll never get what you want.

    Only about 10-20 percent of my job as a software engineer is writing code. AI can be really amazing at writing code, but unless it can do the other 80-90% of my job without me, I’ll be safe.

    Now, whether middle and upper management will know this is an entirely different question. A lot of them think that lines of code written is a good measure of productivity, when in fact it’s often the opposite.

    I foresee there being a big struggle for management to come to grips with the fact that AI is better suited at their job than ours.