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?
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.
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When did it ever not push out broken code?
In this hypothetical situation?
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.
Someone still has to write the instructions. AI might not become a replacement for the engineer, but a more powerful compiler, that is still fed with code written by engineers.
Yeah, I agree that’s the more likely scenario. People seem to worry way too much about AI, when it’s really only going to replace junior devs, and only for short-sighted companies.
But I mean many people have already lost their job because AI automated it away.
True, and many people have lost jobs because something else automated it away, like toll booth workers, grocery clerks, and telephone switchers, and computers (i.e. people who would compute things by hand).
Jobs disappearing because technology advances is natural. It sucks for those impacted, but it’s natural, and IMO it’s only a problem of new jobs aren’t created fast enough, or whole industries disappear. Fighting to keep jobs in spite of automation runs the risk of having an entire industry disappear, such as if dock workers win the fight to prevent automation on the docks, they’ll just all lose their jobs at the same time once automation can replace them all at once.
The better plan is to adjust and adapt as technology changes. If you’re entering CS or a recent grad, make sure you understand concepts and focus less on syntax. If you’re a mid level, learn to incorporate AI into your workflow to improve productivity. If you’re a senior, work toward becoming an architect and understand how to mitigate risks with poor quality code.
Fighting AI will at best delay things.
I think both can happen at the same time. There’s a lot of fkn nerds out there. (I’m a software developer myself)
They’re going to keep doing their job, good luck to some manager who thinks they can be verbose enough to get their idea across
Fixing broken software some robot pushed to prod
Same thing the rest of us replaced by AI are gonna do: live on the dole or starve
Thats a whole lot of heavy assumptions, doing some really heavy lifting.
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
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
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.It’s funny how all trends extrapolated out lead to the plot of Idiocracy.
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.
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 wngaging with the source.
These are just few that come to mind. but the unkowns with this are quite terrifying.
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.
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
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.
Then I’ll train my own model to make others lose their jobs, too. I bet an AI will then be able to do all calculations a civil engineer can do. Or manage any project.
Not it can’t replace a civil engineer. Gen AI is very bad at math and reasoning. There is a study from Apple about this topic.
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.
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.
They’re just gonna sit around and wait a few months until they are begged to come back and can demand more compensation. The current generative AI, which is not general AI, will not be able to replace high functioning jobs. Eventually, a lot of those software engineers will be asked back and get much more for their services.
They’ll either move up the food chain to higher-touch work where AI can’t compete, or they’ll do other things.
Keep in mind that most devs aren’t really all that good at their jobs, so it will probably be economically beneficial for them to do something else. I say this as a long-time hiring manager with many decades of experience in the field.
It can program in 15 different languages, 95% accuracy with almost no mistakes, can create entire applications in minutes
Only if you believe the hype. It can do that in best-case scenarios when the requirements are written as rigorously as code, or where it’s replicating a common pattern.
Do they just become homeless?
During previous layoffs, a lot of them left the field, and some of the rest founded startups. It wasn’t always the case that firms were founded by teenaged sociopaths with strong family connections to VC funding. There was a time when they were founded by people who knew how to do things.
Last time I used it the code it gave me wouldn’t actually run. After 6 iterations and fixing the rest it kind of worked. In theory that should only get better but I’m not sold yet.
Why would devs be displaced by an interactive search engine?
