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 😞
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.
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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.
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.
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.
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.
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
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.
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.
Very expected. It’s fine. I’ll come back at 10 times my previous rate. And you’ll thank me for it. Fucking chads.
Let them burn.
Ah so AI does create jobs, it’s the Zorg logic
AI: The new outsourcing?
Deserved and expected
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.
Hiring people at lower wages that is.
Same thing happened with companies that used outsourcing expecting it to be a magic bullet.
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.
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.)
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
