I've been doing something pretty similar, except instead of having a persistent opencode server, I've been using this workflow that runs opencode inside of the Forgejo action runners:
Still tinkering with it, but the gist is that I can invoke Opencode with /oc inside of an Forgejo issue, then it will come back with a PR for me to review.
Some times I feel like a lot of people in tech independently go through the same things right around the same time with few people writing/sharing about it.
I am also creating this and enjoyed the post and comments all going through the same thing :)
MAustriaGA 52 minutes ago [-]
I think it’s because people in tech expect everything for free.
I had a conversation with my lawyer and I had “just one more question” that was going to take more than the time we had left in the current meeting. He said “schedule another 30 and let’s talk about that.”
Fair!
doctorspazz 2 hours ago [-]
I've been trying to find the motivation to do a write up on my AI lab, and this is just what I needed. Thanks for sharing. My setup is a similar idea, just with n8n/git/argo/k3s. It's mainly for automated workflows that Qwen or Gemma4 can handle.
templar_snow 22 minutes ago [-]
This is great. Homelab AI feels like it's going to fun as heck. I currently have Claude maintain my homelab across all devices; it made homelab setup and maintenance go from "This is a trap that will fascinate you for years but never fully work right and waste time that would have better been spent elsewhere" to "This is actually a great idea and really extends my capabilities."
ohyoutravel 12 minutes ago [-]
I’ve found, even using the latest models, there are some time saving nuggets but mostly subtle config difficulties that just cause an enormous amount of debugging and a net negative on balance, unless you’re just asking for super targeted tasks like “set up a docker compose file” or “give me an NSD config.” But with both of those you need to already know you need the underlying tech and what to ask.
dlxfoo 2 hours ago [-]
Im doing something very similar. Running my OpenCode on a proxmox lxc. I have an additional layer of Kimaki, which gives you Discord integration (hate it or love it). Chatting with your codebase (voice messages, too, if that’s your jam), is very very cool.
rsgm 2 hours ago [-]
That's very cool. Thanks, I'll have to check that out.
palmotea 1 hours ago [-]
> I set up OpenCode Web UI with Git access to make my homelab easier to manage. OpenCode pushes to Git, I approve the PRs, GitOps deploys the changes. Best of all, OpenCode runs as a server with persistent coding sessions synced across devices.
> I’ll share my homelab setup soon. There are about a dozen docker compose stacks for the services that I manage.
That is probably neat, but before I read, how many thousands of dollars would I need to spend to acquire the RAM and GPUs needed to do something similar?
zaptheimpaler 1 hours ago [-]
0? OpenCode is just a harness, it can connect to any model hosted online.
taleodor 2 hours ago [-]
Very cool, we're doing similar except we let agents open PRs as well + we track release metadata and agentic sessions via our ReARM system + we've recently launched an option for agents to track helm-based deployments via ReARM - https://docs.rearmhq.com/workflows/devops.html
rsgm 2 hours ago [-]
I didn't mention this part, but while writing this I realized I could easily add a skill to hit the Forgejo PR API. There's no forgejo CLI like there is with GitHub sadly.
t0mas88 45 minutes ago [-]
There is, but it's limited. For example Forgejo does not expose CI build logs via the API so it's hard to make Claude auto-fix a build issue.
I still need to find the time to get into the Forgejo code and add that endpoint.
That seems like a problem an LLM could solve. ;) (Assuming Forgejo has a reasonable REST/whatever API.)
variety8675 3 hours ago [-]
How do you run inference for Open Code? What models are you running
estetlinus 56 minutes ago [-]
Do you use this at work or is it for vibe coding? Also, I don’t quite understand the problem you are solving. The solutions is a lot of technical parts put together, but why?
_def 2 hours ago [-]
I wonder how gitops is done with docker compose
c-hendricks 8 minutes ago [-]
A long long time ago I wrote something for the company I was with to allow for pre-merge staging environments (preview environments but I didn't have a name for them then)
Used docker-compose + git for application servers, and docker-compose + sync for static sites.
Actually worked pretty well! There's bound to be better options nowadays.
stryan 2 hours ago [-]
I see a lot of people using Komodo for it, though if I had to pick I'd go with Doco CD[0]. You can also use standard Ansible for just cron+bash script to git pull.
On the Podman side, I wrote a tool named Materia[1] for it, but there's also the wonderful Ansible quadlet role as well as Quadit and Orchess.
I recently setup Arcane and started migrating stuff from Truenas apps, they were all deployed as custom docker compose services so it worked out. Arcane supports Git syncs to auto deploy compose stacks, https://getarcane.app/docs/features/projects#sync-from-git
I'll write up some posts on my full setup soon.
Is it a deployment automation platform where it can run a project’s docker services, with rollback and all?
rsgm 2 hours ago [-]
so, the project is pretty much vibe coded, including the docs. It makes a lot more sense if you play around with it. It's just a docker host management UI, I like using it. It has gitops built in and a nice container log view. It doesn't do rollbacks, it only seems to sync from git and run compose up.
fazgha 3 hours ago [-]
So first post in the blog, and it went directly HN frontpage.
Then, I said homelab AI, I thought it's an interesting post about local GPU setup (and I am really interested in this topic).. but no, just another hype post about how to use whatever-code...
rsgm 3 hours ago [-]
I looked into running local models last month. They just aren't quite there for agentic tool use workflows without spending a small fortune. I'm hopeful smaller local models get much better soon.
I was also hoping to put out another post on my homelab setup, it has some neat stuff, but I haven't had a chance to finish it.
sosodev 2 hours ago [-]
I think it heavily depends on what you're asking the model to do. Qwen3.6, both 27B and 35B-A3B, do agentic tool use very well. Their decision making is sus, but the dense model is decent in that way. A 4-bit quant for either of those can run on many home systems with a bit of configuration.
The biggest issue I've noticed is that the chat templates for open models are really hit or miss. The default Qwen3.6 chat template mostly works these days, but depending on your workload it may cause major issues. There are plenty of "fixed" chat templates on hugging face, but people report mixed success. It really seems to depend a lot on what the tool you're using expects.
nyrikki 34 minutes ago [-]
My workflow is too different right now (gradually constrained to network less builds for reasons) but I am really enjoying how zeds agents have worked out in the past few weeks.
I have 27b, 35B-A3B and a cpu backed gpt-oss configured and use them in parallel, checking if one is getting ratholed and adding context or manual fixes.
I had various other systems setup and commercial models but really don’t use them.
It may be too interactive for some people, but it is a good mix of fail fast and often the places qwen3.6 was failing was eventually problems with the frontier models.
And this is with the unsloth defaults and hardened llama.cpp podman containers.
I do sometimes load other models or honestly just feed things into google’s free agent. But that is rare and to be honest manually fixing is typically faster and less error prone
reactordev 3 hours ago [-]
you can't explain the HN hug. You feel it, or your servers do.
johnnytech 3 hours ago [-]
Really cool! Do you autoapprove edits or do you approve manually?
rsgm 3 hours ago [-]
I'll verify the PR code myself before merging, but that's usually a quick skim.
eugmai86 2 minutes ago [-]
[flagged]
Rendered at 19:00:31 GMT+0000 (Coordinated Universal Time) with Vercel.
https://codeberg.org/dragonfyre13/forgejo-opencode
Still tinkering with it, but the gist is that I can invoke Opencode with /oc inside of an Forgejo issue, then it will come back with a PR for me to review.
I am also creating this and enjoyed the post and comments all going through the same thing :)
I had a conversation with my lawyer and I had “just one more question” that was going to take more than the time we had left in the current meeting. He said “schedule another 30 and let’s talk about that.”
Fair!
> I’ll share my homelab setup soon. There are about a dozen docker compose stacks for the services that I manage.
That is probably neat, but before I read, how many thousands of dollars would I need to spend to acquire the RAM and GPUs needed to do something similar?
I still need to find the time to get into the Forgejo code and add that endpoint.
But there is a different tool that is an API accessing CLI: https://codeberg.org/forgejo-contrib/forgejo-cli
Used docker-compose + git for application servers, and docker-compose + sync for static sites.
Actually worked pretty well! There's bound to be better options nowadays.
On the Podman side, I wrote a tool named Materia[1] for it, but there's also the wonderful Ansible quadlet role as well as Quadit and Orchess.
[0] https://github.com/kimdre/doco-cd
[1] https://primamateria.systems or https://github.com/stryan/materia
Is it a deployment automation platform where it can run a project’s docker services, with rollback and all?
Then, I said homelab AI, I thought it's an interesting post about local GPU setup (and I am really interested in this topic).. but no, just another hype post about how to use whatever-code...
I was also hoping to put out another post on my homelab setup, it has some neat stuff, but I haven't had a chance to finish it.
The biggest issue I've noticed is that the chat templates for open models are really hit or miss. The default Qwen3.6 chat template mostly works these days, but depending on your workload it may cause major issues. There are plenty of "fixed" chat templates on hugging face, but people report mixed success. It really seems to depend a lot on what the tool you're using expects.
I have 27b, 35B-A3B and a cpu backed gpt-oss configured and use them in parallel, checking if one is getting ratholed and adding context or manual fixes.
I had various other systems setup and commercial models but really don’t use them.
It may be too interactive for some people, but it is a good mix of fail fast and often the places qwen3.6 was failing was eventually problems with the frontier models.
And this is with the unsloth defaults and hardened llama.cpp podman containers.
I do sometimes load other models or honestly just feed things into google’s free agent. But that is rare and to be honest manually fixing is typically faster and less error prone