r/opencodeCLI

The tweet:

https://x.com/opencode/status/2053393732221739498

Hey everyone! 👋

If you're using OpenCode, you probably know how powerful it can be. But let's be honest: setting up all the right skills, custom agents, and configuration files from scratch can take a lot of time.

I wanted to fix that, so I built OpenCode Supreme Setup — an open-source utility toolkit that transforms a blank OpenCode installation into an absolute powerhouse, literally in a single command.

✨ What's inside the box?

• 480+ Ready-to-use Skills: Instantly load up an entire marketplace of capabilities without manual tweaking.
• 11 Specialized Sub-Agents: Dedicated AI personas ready to tackle specific tasks right out of the gate.
• Team Mode: Collaborate seamlessly.
• Caveman Efficiency: Optimized global instructions so the AI understands you better and works faster.

🛠️ How to install it? It’s incredibly simple. You don't need to manually edit JSON files or move folders around.

For Windows (PowerShell 7+):

PowerShell

irm https://raw.githubusercontent.com/skeletorflet/opencode-supreme-setup/master/install.ps1 | iex

For Linux / macOS:

Bash

curl -fsSL https://raw.githubusercontent.com/skeletorflet/opencode-supreme-setup/master/install.sh | bash

Whether you're automating workflows or just want a much smarter daily coding assistant, this setup is designed to save you hours of configuration.

I’d love for you to try it out and let me know what you think! Feedback, ideas, and contributions are super welcome.

🔗 Check out the repo here: skeletorflet/opencode-supreme-setup

Happy coding! 💻🔥

Been researching a ton lately since my previous GO subscription already ran out. I got really hyped with the newer open source models, but in actual real-world projects they ended up being kinda underwhelming.

The only one that genuinely felt SOTA was Kimi K2.6, but if you look at actual cost per task it almost starts getting close to Claude. It overthinks a lot, takes forever, and while inference itself is way cheaper, the total cost per completed task really isn’t because of all the extra thinking and iterations.

So I ended up leaning more towards DeepSeek V4 Pro Max, which honestly worked pretty well when I had GO. But now Qwen 3.6 Plus which is FREE feels only like ~5% worse than DS4 Pro while still getting to basically the same end result with a bit more or less iteration.

Now I’m having this existential crisis wondering if paying for another subscription is even worth it anymore? I feel like all these models are starting to hit a ceiling where, with enough iterations/harnesses/skills/good prompts and plans, they all end up reaching pretty much the same result without needing to spend a lot of money?

Estou no meio de um desenvolvimento próprio de um sistema de controle de vendas no Mercado Livre. Estou usando o Opencode desde o início, mas sempre alternando entre Deepseek V4 Flash e Pro.

Com o tempo percebi que o Pro não estava mais sendo tão bom pra desenvolver e passei a usar o Kimi k2.6. Nessa brincadeira desde o início do projeto, estourei minha cota MENSAL do plano Go em 15 dias e ainda coloquei mais $10 de crédito no Zen para continuar.

Os créditos simplesmente acabaram em 2 dias.

Aí vem a pergunta: como vocês estão conseguindo avançar com projetos sem ver seus créditos e dinheiro ir embora?

For the life of me, I feel like I must be dumb or something because no matter what I use, OMO-Slim, Swarm, GSD, Goopspec, list goes on and on. I've tried a lot of them. OMO-Slim seems the easiest to set up, at first glance. I install it, set up each of my agents in the config to my models, launch opencode and it seems all operation. The Orchestrator is there, the sidebar thing is there. Then comes the next step... I give it an idea of what I want to build, what I want to do, it creates a plan. OK, so far so good.

Then it starts executing it. It will delegate to a background agent once, maybe twice, and in between that it is trying to do ALL the work itself. It fills up the context window, basically doing the work by itself. It doesn't try to delegate other than a couple of times. So I am left with a context window being 70-80% full and well, the problem is I am not using my strong, coding models for the orchestrator, so it is trying to do the coding all by itself.

So what am I doing wrong here? They all do this...it just seems like it does the same thing as "Build" ??? but it's not. I also tested each agent and they are all working and connect fine if I manually ask it to invoke the background agent/s. BUt the orchestrators never want to invoke them themselves?! Any tips?

be careful when you sign up for Canopy Wave.

I signed up for a single Unlimited 50M subscription. Their system automatically signed me up for a "fast bundle" subscription and I got double-charged. They refuse to perform a refund, so now I'm disputing this with my credit card company as a fraudulent transaction.

I've been using Coder + OpenCode to vibecode arduno/golang apps. Using Canopy Wave I've been met with frequent 500 errors, along with throttling on the Unlimited Plan (no throttling happened during the trial period).

This company seems to be very scammy.

Hello 👋

I like it so much I want to use it everyday, everywhere 😁

Is there any ios app to for Opencode Go?

kthx

I’ve just started a new job as a Data Engineer in a very data sensitive team. The company is testing Claude Code in another team and we have access to GitHub Copilot. The majority of software that can be requested are from Microsoft/Dell only. I think OpenCode has an Enterprise version but not sure how it will hold up. Any suggestion? Should I engineer my own harness or wait until Claude code is available which maybe a few months away…?

I developed an LSP, VS-Code extension and NPM package, please try it out and give me your thoughts!

For the last couple of months, I’ve been testing a bunch of models inside opencode. And like probably many others, I kept falling into the “newer model = better model” trap. Every time something new dropped, I tried it.

GLM 5.1 got hype. Kimi K2.6 got hype. MiMo M2.5 Pro looked really interesting on paper. DeepSeek v4 Pro also had its moment (and it's month of "Deepseek V4 next week!" hype). And don’t get me wrong, some of them are genuinely good. But for my actual daily coding workflow, I keep coming back to Qwen3.6 Plus.

It is just insanely solid, and it punches way above its weight class.

The thing that impresses me most is not even one single benchmark or a flashy demo. It's the combination of things that actually matter when you are living inside a real codebase:

• It follows instruction protocols tightly without drifting.
• It does not randomly lose the plot or start hallucinating arguments after a few tool calls.
• It actually understands existing architecture instead of trying to casually rewrite half the project.
• The native 1M context window is a massive deal—and unlike some models, it actually reasons across that context stably instead of collapsing on repository-level files.

Is it as strong as GPT-5.5 or Claude Opus 4.7? No, obviously not. I would still hand those the keys for absolute hardest architectural decisions or deeply complex abstract logic.

But for daily coding agent loops? Man, Qwen3.6 Plus just delivers.

I think the model disappeared a bit from the spotlight because newer open models came out and the hype cycle moved on to the next shiny object. But if you are using opencode or building automated dev pipelines, it deserves way more attention than it gets.

Sometimes the best model isn't the newest one or the loudest one on a Twitter benchmark screenshot. Sometimes it’s just the one that remains reliable 20 turns into a messy debugging session.

What do you guys think? Anyone else daily-driving it for dev work over the newer releases?

I've never seen anyone vibe code irl but maybe thats just because I work with 60 year old devs 😂