Hi Community!
I’m discovering world of Hermes. What would be your advice of setup for iOS app development?
What I understood so far, you use higher input/output models for coding.
Initially I wanted to rewatch 1st and 2nd seasons right before 3rd ends, but it didn't go as planned hahah. I just finished 2nd season and I don't wanna wait any longer.
I was thinking, hmm: maybe it's good idea to wait till end of September so all episodes will finally be out and I get to binge watch all episodes at once. But every now and then I see all new content getting posted here, whether it's memes or discussion on some interesting MT topic, I don't mind spoiler tbh, but I felt kinda left out when stumbling upon some post and not getting full picture, so screw that idea 😂
I'm glad that I finally get to watch it now that decided to do it. Wanted to share it here, because if you have doubts as I did, don't! just start watching it!!
One thing that I noticed straight away. I'm happy that those old intros are back, they somehow are immersing watcher even more into six faced world.
I have also spare 3060 12GB, if it makes any sense doing something with it.
Hi community
I’m completely new to all this vibe coding thing, I just created my OpenClaw setup with 5 agents to develop an app.
Meanwhile a stumbled upon one post about saving token usage by using OmniRoute, is it really effective?
has anyone tried this or maybe you have better ways to limit token usage and produce real results while developing an application.
Hi everyone,
I’m completely new to this ecosystem, so apologies if some of my questions don’t make perfect sense.
I’ve been following ChatGPT’s recommendations while setting up my first AI development environment. It suggested starting with Qwen3.5-9B as my local model, and I’m trying to get everything working on my TrueNAS home lab.
My hardware
● TrueNAS SCALE
● ASUS STRIX Z270G GAMING
● Intel Core i7-7700K
● 48 GB DDR4-2666 RAM
● NVIDIA RTX 3060 12GB
My software so far
● Windows 11 VM for development running of a 512GB Samsung NVME M2
● WSL, Ubuntu 24.04
● OpenClaw
● Tailscale
● Cloudflare Tunnel
● MacBook used to remotely access the VM
I’m currently running Jellyfin server with seerr in pair and it’s been amazing ever since I switched to it.
My goal
I don’t just want to chat with an LLM.
I’d like to build iOS apps (Swift) or any apps if possible and eventually have multiple AI agents working together on the same project.
For example:
● one agent plans the architecture
● another writes code
● another reviews PRs
● another researches APIs
● another keeps project documentation updated
Ideally I’d like all of them to share the same context and work toward one common goal instead of acting independently.
I was also thinking about connecting OpenRouter.ai so I could switch between different cloud models (Claude, GPT, Gemini, Qwen, MiniMax, etc.) whenever needed.
I’m stuck at the moment I’m honestly struggling just to get OpenClaw talking to any model reliably.
I’ve spent quite a while configuring WSL, gateways, and remote access, but I’m still confused about the “correct” architecture for models.
Questions I have:
● Should I start with a local model like Qwen3.5-9B first, or just use OpenRouter from day one?
● Can OpenClaw seamlessly switch between local Ollama models and OpenRouter models?
● Is there a recommended setup for beginners?
● Is building a shared multi-agent environment actually realistic today, or am I trying to do too much too early?
● Can n8n be used to orchestrate these agents and visualize workflows, or is there a better alternative?
I’m trying to learn the “right” way rather than hack something together that I’ll rebuild in two weeks.
Any architecture diagrams, GitHub repos, YouTube videos, or personal setups would be hugely appreciated.
I know it’s very long post, but there are so many questions to ask and it seems that chat gpt or other ai can’t give me a better advice how to make it work.
Thanks in advance!
Hi guys,
I’m trying to build something even more useful out of my server.
I’m enjoying TrueNAS, Jellyfin and planning to run win11 vm to do coding there, some heavy app development.
I recently managed to buy 3060 12Gb for 190USD+32Gb DDR4 2666MhZ-found it for 50 USD locally, my TrueNAS running of i7 7700K+16Gb RAM 2666MhZ on ASUS STRIX Z270G GAMING (LGA 1151) motherboard, storagewise NAS is on 128Gb SATA SSD, all apps and portainer on 256 SATA SSD, media library-HDD 1TB (I know I need more) for VM I have spare 512Gb M2.
I would like to code apps for APPLE devices.
I will use Claude for sure!
Does anyone have good advice how do I start my vibe coding adventure?
Case: Lian Li A3
CPU: Ryzen 9 9950X3D
GPU: ASUS TUF 5070Ti OC
RAM: DDR5 GSkill Trident Z5 NeoRGB 32gb kit 6000Mhz CL30
Motherboard: Gigabyte X870M AORUS ELITE WIFI7
SSD:
M2 Samsung 990PRO 1TB
M2 Samsung 9100PRO 2TB
AIO Cooler: NZXT Kraken 240 v2 ARGB
Fans:
Bottom: LOVINGCOOL Coherent LG PRO-240-S Infinity ARGB Black Reverse (Cold air intake)
Top: XIGMATEK Infinity SF360 Digital 240 ARGB Black Exhaust over AIO radiator
Exhaust: ICE Whale Prism 6PRO 120 Infinity 3-sided 5V 3PIN ARGB
PSU: Seasonic Focus GX-850 80GoldPlus
It’s alive! My ultimate dream PC finally became reality.
This was actually my first mffpc build and also my first AMD CPU experience. I tried to cable-manage everything as cleanly as possible inside the A3. I’m still considering adding the Lian Li 8.8” display since it would help hide some cables and complete the look.
Thermals turned out better than I expected:
CPU: usually around 70–80°C during long gaming sessions
GPU: averages around 75°C depending on the title
Idle temps:
GPU: ~30°C
CPU: ~55°C
Fans usually stay around 1300–1400 RPM and only briefly ramp to ~1800 RPM, so the system stays surprisingly quiet for this level of hardware.
Performance-wise, I’m extremely happy with the component choice. Finally able to enjoy maxed-out settings in basically every game.
In regard to GPU bottom fan clearance, it doesn’t create any sort of problems or issues, to anyone who would be asking about that gap.
Hi guys,
So I’m almost there, my Lian Li A3 build requires only small anti sag things to support my thick 5070Ti GPU, but I’m stumbled upon weird thing on my CPU, AMD Ryzen Master shows that not all 16 cores are enabled.
Or I’m tripping and it’s supposed to be like that?
I have default profile in the app.
