Same. It's quite remarkable. Two other things Claude and I have done. I have a spare workstation running proxmox in my garage. Claude can now create, snapshot, delete, extend, start, and restart vms. It's been great. I also have skills that allow it to spin up spot instances when I need to test things that rely on hardware I don't have like certain Nvidia gpus or 100gb networking. What a time to be alive.
replyNot to take your credit away but there is something called automation, scripting, etc.
replyAll those actions within my homelab are automated via Ansible and bash scripts (I only run Linux), I am only notified if something goes wrong like a backup failed.
I get it if you never worked in IT, that is fine, but you need zero AI to get the above fully automated.
Does Claude keep versioning of the changes?? I host my own repos via Forgejo, Ansible and the automation process consume the config files from there, one source of truth. If my whole setup burns with fire, I can bring everything back online from the offsite Ansible playbook located at Codeberg.
To be fair, you never needed LLMs to be able to do all that.
replyTrue but it was a whole bunch of fragile scripts/functions with lots of ifs. I'll give you a real world example of what's different. Agent spins up a VM to run a build on windows. During the build it realizes it's out of disk space. Agent resizes disk on demand. Build finishes and it launches the app. Runs some tests and realizes it's cpu and memory constrained. Adjust the cpu and memory and runs new tests. tears it down and sends the perf logs back to me. Or it looks at system resources and decides what other vms it can pause while it runs the tests and then turns them back on after.
replyThere are so many unknowns and the ability for the agents to dynamically adjust and make decisions allows for some really powerful autonomous workflows.
Not sure the lower bounds of CPU/memory/disk space that your project needs should be considered "so many unknowns".
replyMan. HN is brutal. Just one example. And yes, when you're looping agents and builds to identify performance optimizations and build features sometimes you don't know what those bounds are going to be and it's much faster to let the agents work it out, update their learnings, and keep building.
replyTo be fair, often you have good ideas, but not enough time. I have had a lot of fun having Qwen3.8 27b running at home, having it explore and implement ideas that was way to ambitious for the time I had available to tinker with Home Assistant and Proxmox. It is an enabler and can also be a good tutor, when used as such. I have learned a lot.
reply"be able" implying capability rather than time constraints and opportunity cost which is what most people on here refer to when they mention something cool they're doing with LLMs that they weren't doing before.
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