It reads like the author doesn’t know what containers are. Because this is actually a great use case for containers unless I’m missing something.
Now, do I want reverse engineering software from someone who in 2026 doesn’t know of a better way to manage dependencies than “tell AI to install everything”? Not particularly lol
Install Visual Studio 2022, or apt install build-essential / xcode-select --install
NOW distro repo is fine, but only if you use an APT based distro?
and then 3 more dependencies it tells the agent to install from websites.
The weirdest thing is you can get much better results from AI. I’m 99% sure this person gave the AI particularly bad instructions to generate the install instructions, or used a cheap, crappy model.
I think it’s written that way because the instructions are meant to work on Windows too. But it still doesn’t make much sense. I think just saying “Install CMake” and letting the agent figure it out for the current environment would be a much better approach.
Also, I think the model they were using was working with outdated data. Why specifically require Java 21 when Java 25 is the latest LTS? And furthermore, why even link to a specific JDK implementation when it surely works with almost any implementation? Probably just makes the agent install the Temurin implementation even if the system already had a working java.
My point being if the author’s idea is to let AI handle the installation to avoid writing environment-specific instructions, it shouldn’t then have these hardcoded assumptions about the environment. So yeah, it seems they (and the AI that wrote it) didn’t really know what they were doing.
It is a self-contained runbook with explicit verification gates at every step — preflight checks, building libghidra, installing the LibGhidraHost Ghidra extension, building ghidrasql, and a first live query. Hand it to your agent and let it drive the install; intervene only if a gate reports a failure.
it’s real, and not uncommon in AI projects. for example, in Hermes, to setup ComfyUI to work with it, you literally just prompt “setup comfyui” and it handles the install and configuration, including downloading any models you want.
I dont think local agentic models address the ethical and environmental concerns I have with the training - but its better than the corporate offerings :)
Hey guy/gal/genderfluid pal, the cat is out of the bag. Either we embrace it for what it can do in a much more sustainable way, or we let corpos redefine sustainable.
Is this a good use case? No. But most use cases, I’d rather have a local agent running on my own hardware being offset by solar, than using a corpo offering.
The cat is “out of the bag” on consuming meat and dairy, plenty of people manage to survive and thrive without em, without much effort at all. I’d personally rather use no LLM than use a local agentic model with poor ethics/environmental impact of its training, even if the latter is better than corpo offerings.
As I alluded to, I’m much happier to see people using local agentic models. Even more so if they happen to be something like Pleias’ approach, with lots of transparency about the data they were trained on. There’s still the environmental concerns behind the resources consumed for the training, but it is about as good as one could hope for at this point if one insists on using LLMs.
As you wish, wasn’t meant as a gendered ident so apologies.
I’m actually not familiar with how much environmental damage is done by training vs using. My initial assumption was that training would be less, by many many factors, because it “happens once” while the usage is constant and scales with the number of users. But that is admittedly an assumption made out of ignorance.
And to be clear, I’m not really trying to tell you you’re wrong, just trying to make my position clear since Lemmy is very anti AI in general.
Is this satire or is it from a real project O_O?
It’s real
https://github.com/0xeb/ghidrasql#install-with-an-ai-agent-recommended
This is… uh…
It reads like the author doesn’t know what containers are. Because this is actually a great use case for containers unless I’m missing something.
Now, do I want reverse engineering software from someone who in 2026 doesn’t know of a better way to manage dependencies than “tell AI to install everything”? Not particularly lol
Also:
It’s Eclipse Temurin not Eclipse Adoptium. And why not install from distro repo?
Also why not from distro repo?
NOW distro repo is fine, but only if you use an APT based distro?
and then 3 more dependencies it tells the agent to install from websites.
The weirdest thing is you can get much better results from AI. I’m 99% sure this person gave the AI particularly bad instructions to generate the install instructions, or used a cheap, crappy model.
I think it’s written that way because the instructions are meant to work on Windows too. But it still doesn’t make much sense. I think just saying “Install CMake” and letting the agent figure it out for the current environment would be a much better approach.
Also, I think the model they were using was working with outdated data. Why specifically require Java 21 when Java 25 is the latest LTS? And furthermore, why even link to a specific JDK implementation when it surely works with almost any implementation? Probably just makes the agent install the Temurin implementation even if the system already had a working java.
My point being if the author’s idea is to let AI handle the installation to avoid writing environment-specific instructions, it shouldn’t then have these hardcoded assumptions about the environment. So yeah, it seems they (and the AI that wrote it) didn’t really know what they were doing.
Ai loves outdated versions. It’s what it’s trained on
Even the install instructions are written by AI. Good grief
Look what they have to do to mimic a fraction of
tar -xaf!Please kill me
Try our new AI assisted suicide! (Please report any malfunctions)
it’s real, and not uncommon in AI projects. for example, in Hermes, to setup ComfyUI to work with it, you literally just prompt “setup comfyui” and it handles the install and configuration, including downloading any models you want.
I guess it’s good they’re dog fooding it?..I think?
The number of times Claude has told me it’s going to eat its own dog food, making me gag, is far too many times.
I bloody hope the whole post is satire but given the anti-ai groupthink on lemmy, fuck knows!
Yes, it is the people who are against the corporate AI offerings who are guilty of groupthink, not me!
There are two big piles of groupthink here.
What a stupid comment
Eh, mine added value to the conversation. Your “what a stupid comment” comment made no such effort. So hey, swings and roundabouts!
No it didn’t
Ok bye
To be fair, there are local agentic models.
I dont think local agentic models address the ethical and environmental concerns I have with the training - but its better than the corporate offerings :)
Hey guy/gal/genderfluid pal, the cat is out of the bag. Either we embrace it for what it can do in a much more sustainable way, or we let corpos redefine sustainable.
Is this a good use case? No. But most use cases, I’d rather have a local agent running on my own hardware being offset by solar, than using a corpo offering.
Please don’t call me man :)
The cat is “out of the bag” on consuming meat and dairy, plenty of people manage to survive and thrive without em, without much effort at all. I’d personally rather use no LLM than use a local agentic model with poor ethics/environmental impact of its training, even if the latter is better than corpo offerings.
As I alluded to, I’m much happier to see people using local agentic models. Even more so if they happen to be something like Pleias’ approach, with lots of transparency about the data they were trained on. There’s still the environmental concerns behind the resources consumed for the training, but it is about as good as one could hope for at this point if one insists on using LLMs.
As you wish, wasn’t meant as a gendered ident so apologies.
I’m actually not familiar with how much environmental damage is done by training vs using. My initial assumption was that training would be less, by many many factors, because it “happens once” while the usage is constant and scales with the number of users. But that is admittedly an assumption made out of ignorance.
And to be clear, I’m not really trying to tell you you’re wrong, just trying to make my position clear since Lemmy is very anti AI in general.
hey at least we actually think and don’t offload it to a machine.