This may not fall under the umbrella of micro profiling, but I’ve using the cli tool perf a lot lately in Linux. Pretty powerful tool for performance profiling that can do active monitoring as well as take snapshots. Not sure about windows compatibility, maybe with wsl?
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I can see the benefit of this kind of use case, because LLM‘s are good at summarizing large data sets. It can be a good starting point for learning about something new or rubber ducking. But, if that’s your use case, why would you even need or want an agent hooked up to your environment to allow it to commit or create PRs?
The near future? How is this a sustainable business model for any business? You just need one developer and “agentic” AI to build anything, how do you differentiate yourself?
But before that problem, I don’t see the current tools anywhere near able to deliver on the hype. They are incredible and they have plenty of use cases, but for anything non trivial it feels like it’s more work fixing the errors they create than just doing it myself. I think I’d kill myself if I had to review and fix multiple agents worth of indecipherable code.
All that being said, everyone still might get laid off! It doesn’t have to be good to crash the market.
I think you’re missing the spirit of their comment. They are not saying they get out of the tank right then, they are saying eventually everyone has to get out of the tank and go back to their home and if your neighbors aren’t happy with you and are well armed… good luck.
Wasn’t there a recent METR study that found 20% decreased productivity with ai coding tools? Oddly enough, the people using the tools thought they were 20% faster.
https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/
From my own experience, they can be useful until they aren’t… and if you don’t know what you’re doing they can output convincing but flawed or downright dangerous code or suggestions. I’m not sure if it saves me time or not. Im not doing front end web development anymore so maybe the stuff I’m working on now is too obscure for the current tools?
Yeah, a lot of school bus stops on five lane highways… /s
It does, he just didn’t show that a/√a simplifies to √a. There are a couple ways to think about it, but the simplest is if you just wanna get rid of the square root in the denominator, you can multiply the entire left side by (√a/√a) which gives you a√a / √a√a. This then turns into a√a/a. From there you get to just √a
My experience with LLMs for coding has been similar. You have to be extremely vigilant, because they can produce very good code but will also miss important things that will cause disasters. It makes you very paranoid with their output, which is probably how you should approach it and is honestly how you should approach any code that you’re writing or getting from somewhere else.
I can’t bring my self to actually use them for generating code like he does in this blog post though. That seems infuriating. I find them useful as a way to query knowledge about stuff that I’m interested in which I then cross reference with documentation and other sources to make sure I understand it.
Sometimes you’re dealing with a particular issue or problem that is very hard to Google for or look up. LLMs are a good starting point to get an understanding of it; even if that understanding could be flawed. I found that it usually points me in the right direction. Though the environmental and ethical implications of using these tools also bother me. Is making my discovery phase for a topic a little bit easier worth the cost of these things?
I feel like I’ve found a fairly sweet spot with LLMs and coding. I use them almost entirely like a rubber ducky. Any small bits of code that they do generate I then diligently try to understand, see inefficiencies or issues and come up with a better solution.
This is a pretty slow process so they don’t speed me up at all. They just make the initial discovery may be a little bit easier? As Google has gotten worse and especially if I’m working in a code base with limited documentation or bad documentation, I found them to be useful to get my bearings. I always go into it with a paranoia that anything they generate could be a disaster so I have to do extra due diligence.
I’ve found that they’re pretty good at generating a couple lines of code, though I have to usually refine it a lot. Anything more than that seems to be more trouble than it’s worth.
However, I have found them to be a great tool for learning even if I’m not sure if what they’re putting out is correct. It will usually lead me to start thinking about things and looking deeper into documentation and research papers, etc.
That there are so many ways to store data on a browser (including exploits) and that they expose so much information about your physical device is a big part of the problem. Even barring that, there are additional ways they can fingerprint a user. While any one thing might not be telling, when you take all of them in combination, it gets frighteningly accurate how easy it is for them to know exactly who you are.
An AI that was advanced enough to automate this much of human endeavors, would start to blur the line of agi. And at that point, what are the moral implications of enslaving an intelligent entity, artificial or not? If such tasks can be automated via thousands of purpose built ai’s that are not “conscious” then I suppose it’s ok?
I remember when the term was first coined and it meant something like “asking an llm to code and NOT attempting to validate, fix or correct the outputs yourself. Just keep prompting in natural language until it works.” It was supposed to be a joke - this sort of use hits a wall pretty quickly and illustrates how limited llms can be.
The term has taken off and its meaning is now in flux. I did find it particularly amusing seeing all the LinkedIn lunatics start posting LLM written garbage about “integrating vibe coding Into your workflow” because they thought it was the new buzz word… and I guess they were right.
Compared to previous generations, most of the luxuries you are describing are a much lower percentage of our overall expenses, while 3 big things: housing, healthcare, and education have outpaced wages dramatically and are a MUCH larger percentage of our expenses compared to previous generations. Yes, you can save a lot of money by being thrifty, but home cost, healthcare, and education are hard if downright impossible for many people to mitigate.
All that being said yes, you could live a much simpler life, but I think the issue is people seeing an expected standing of living that many western countries used to have, slipping away while a very small percentage of people at the top are consolidating phenomenal wealth. So saying to them “hey it’s your fault for not lowering your expectations” comes off as well, ridiculous.
AWS is getting their money regardless. The front end doesn’t matter, if the data/infrastructure is hosted on the backend with aws, they get paid for usage and the data (like the spice) must flow. I suppose by circumventing the website’s frontend you hurt that site’s bottom line by making them incur costs from AWS while not being able to monetize your visit. Which is at least something.
I’ve heard it’s one of the best (if you’re looking for a full IDE experience). I haven’t tried it yet but I am on the lookout to hear about what tools people like to use for c/c++ development. Do you have one that you prefer?
Maybe it’s supposed to be “personnel”? HR hiring processes is dominated by bots now.
I don’t feel like the H1B is as big of an issue as outsourcing is. The company that I was just laid off from also laid off all the H1Bs and outsourced pretty much every junior role to India. I’m hearing about this in a lot of other companies as well. While this is anecdotal, it seems to me that with the rise of remote work, it proved that out sourcing was very viable. India has a huge talent pool of highly skilled engineers, who can speak English and are willing to work for pennies on the dollar. I’m not sure where AI plays part in this. Perhaps, it allows those outsourced developers to provide higher quality code faster than ever before, but I have no way to prove that.
Either way, it’s pretty much a blood bath in tech right now, not sure what to do myself. Considering going back to my old career.
Harris had more billionaire donors than Trump and she out-raised him almost by $700 million. Of course there was plenty of dark money floating around and Musk dropped a ton of money into Pennsylvania, but don’t act as if Biden and Harris were working class darlings. Calling out price gouging is all good and well, and realistically, there’s only so much the president can do legally to combat inflation, but he did have the bully pulpit and a little bit of lip service to price gouging was not enough obviously. He could’ve been out there daily essentially doxing these companies and their ceos putting the fear of God in them.
Populism is a dirty word to the establishment, but both Trump and Bernie are populists. In fact, the first part of their message is essentially the same: America is going to shit, the Economy is terrible, and you’re getting fucked. The difference, of course, is that Trump points the finger at immigrants and others as the reason why this happening, while Bernie points the finger at the Oligarchs. The true power of populism is the threat of using the majority against the minority. It’s why it can lead to violence and mob rule.
People want someone to pay for the pain they are feeling, Trump is doing that, although of course it’s completely misguided and fucked up. The Democrats are not willing to do that. At some point, they’re going to need a Teddy Roosevelt like figure who comes along and essentially says to them, “hey listen I know it’s crazy, but if we don’t do something about the wealth inequality and the ruling class, we’re all gonna get our heads chopped off.”
That was an interesting read… The company I currently work for doesn’t allow AI tools to be fully integrated into our code base. I tinker around with them on my own time, but I’m left wondering what the profession is turning into for other people.
Here on lemmy, we are definitely in the naysayers camp, but this article is trying to paint the picture that the reality is that almost everyone in tech is all on board and convinced these tools are the way. That writing code by hand is something of the past. The author certainly went to great lengths to recount many interviews with people who seem to share this opinion - many who I will note, have a vested interest in AI. Yet they didn’t really ask anyone who specifically held the opposing viewpoint. Only tangentially mentioning that there were opponents and dismissing them as perhaps diluted.
I did appreciate that they touched on the difference between greenfield projects and brownfield projects and reported that Google only saw about a 10% increase in productivity with this kind of AI workflow.
Still I wonder what the future holds and suppose it’s still too early to know how this will all turn out. I will admit that I’m more in the naysayers camp, but perhaps that’s from a fear of losing my livelihood? Am I predisposed to see how these tools are lacking? Have I not given them a fair chance?