Hi everyone,

I've been using Antigravity's integrated models quite heavily on the free tier, but since the changes introduced with Antigravity 2.0 I've been looking for alternatives. One of the options that caught my attention is OpenCode.

I've already tried the application itself and I like the workflow so far. The Go subscription also seems surprisingly affordable, so I'm considering giving it a serious try.

I'm particularly interested in hearing from people who use OpenCode Go as their primary development tool, without relying on separate Claude Code or ChatGPT subscriptions for planning and coding.

A few questions:

• Have you ever run into the Go plan usage limits during regular development?
• How far do the included credits actually go in practice?
• Has anyone used it extensively with Unity projects (2D or 3D)? If not, experience with other game engines would also be useful.
• Which models available through Go have worked best for coding and agent-based workflows?
• Overall, would you recommend it for day-to-day software development?

I'd love to hear about both the positives and the frustrations you've encountered.

Thanks!

TL;DR: Replaced Flash 3.5 with OpenCode Go + Openchamber VS Code Extension in AG.

With the release of Flash 3.5, I lost my workhorse agent for website edits, investigations, and verification tasks. After some googlefu, I found OpenCode Go.

It has only been four days, but I’m floored by the stability, speed, and usage limits of OpenCode’s Go plan. With Flash 3.1, I could run roughly 30 tasks per 5 hours. Flash 3.5 is CURRENTLY 3-8. Ouch.

Using DeepSeek V4 Flash (primary), Qwen 3.6 Plus, and Kimi 2.5, I haven’t found the limit.

I also have a Codex subscription, which I use for mobile apps, databases, and Docker. What I’d consider high end coding tasks. Qwen’s style looks like 90% of Codex. Kimi’s style looks very different, but everything both have produced has worked. Both are leagues better then gemini pro, which i never found to be reliable. I have not tested any others. I’m not a developer, so I can’t judge the code quality or best practices.

My only issue with OpenCode was the terminal interface, as I prefer a gui. After trying several gui focused extensions, I found Openchamber. It looks, feels, and operates similarly to Flash and Codex's extensions. The only feature its missing is the “open in sidebar” button.

10/10 for both OpenCode Go and Openchamber (https://open-vsx.org/extension/FedaykinDev/openchamber).

I hope this helps you!

https://preview.redd.it/fqyo371lon2h1.png?width=714&format=png&auto=webp&s=39d33d95f0dd5c762c0c46daf0417471061cedca

GHCopilot multipliers for paid plans

Quote: Each model has a premium request multiplier, based on its complexity and resource usage. If you are on a paid Copilot plan, your premium request allowance is deducted according to this multiplier.

https://preview.redd.it/l5qidtqixn2h1.png?width=1906&format=png&auto=webp&s=8513438de45b201835a1cda940c8f8ee6b466f06

Cost of building and deploying AI models in Agent Platform

Quote: Gemini 3.5 Flash delivers near-Pro intelligence and parallel agentic execution at standard Flash-tier speed and cost.

Rant: I want to talk about the GHCopilot model multipliers and what this means for subscribers regardless of plan/tier. The above is a little context so the tech bros do not hallucinate and start AI slop posting comments based on assumptions and misinformation.

This is just the latest model example for illustrating the complexity and tradeoffs of choosing a provider. Looking at the recent trends of model multipliers made me think beyond the reasoning and explanation given to justify the said multipliers.

I just simply could not digest the numbers slapped on the newer models and the bigger picture of why and how such things get passed on to end users is beyond me. Does someone wake up and decide to hold a board meeting to then decide the random multiplier based on the name of the model or do they think the end users are just naive and not understand the optics of cost of inference vs value?

I'm just curious, how many of you think this is the right thing to do? I mean if this is the future, I might as well just start charging my clients with the same multipliers, mimic the reasoning quotes and have them stop worrying about why and how.

Would this work? It's a great business model, I need a favour from all the other devs to do the same to their clients too. This way, they do not have anywhere else left to go except pay for what we offer at our own pricing if they choose to have us use AI for faster shipping over traditional coding. After all, AI is for everyone, right? Cheers! 🥂

Hello all, newbie to opencode and locally hosting llms in general, I figured I'd give it a shot so I can have an agent working on more menial background tasks while I work on high priority things. I've tried llama 3.1 and qwen 2.5 coder 7b with a context window of 16k. Whenever I use one of the free models opencode comes with, they function just fine and just go ahead and do what I tell them to. However, any exchange with either of the two local models goes like this:

• Me: Read (file), (file) and (file) and look for (something). Then implement a fix.
• Model: To answer your question, we can read a file using the read tool: (some raw JSON with the tool parameters) and the write tool (more raw JSON with tool parameters).
• Me: Go ahead and execute the tools you listed.
• Model: We can use the read tool: (again raw JSON)

It's honestly getting pretty tiring. I know my hardware is capable of running the model, but I can't seem to get it to act as a proper agent. Any solutions?

so i just get the error "Free usage exceeded" after try to generate code, but is days that i not use it, the free use is daily or weekly?

I am talking about opencode server, i have no issue on opencode desktop

Has anybody else faced this issue with Openclaw when they use it with Opencode-go (Kimi K2.6) the responses get cut off in Telegram after a few lines with this message below:

⚠️ Something went wrong while processing your request. Please try again, or use /new to start a fresh session.

Have been consistently facing this for a week now? Any solutions?

Hey everyone,

If you're planning to sign up or subscribe to OpenCode Go for your dev or automation workflows, here’s a referral link to get a quick discount.

By using it, we both get a $5 usage credit applied directly to our Go usage limits. It’s a clean win-win if you want to save a bit on your bill this month.

👉 Referral Link:https://opencode.ai/go?ref=PXC2EGC37M

How it works:

1. Join and subscribe to Go using the link above.
2. The system automatically awards the $5 credit to both of our accounts.

Appreciate anyone who decides to use it! Let me know if you have any questions about the platform.

Ok, I mentioned two things today. The good one and the bad one.

The good one: GLM 5.1 surprisingly works very fast.
The bad one: It works like a lobotomized one.

Do you have the same experience?

https://preview.redd.it/nhbs5wg81i2h1.png?width=1919&format=png&auto=webp&s=c502611a2e046ac2164f1becf8a2d42533b07813

The absolute highlight of this setup is having OpenCode running natively inside my terminal, working in flawless symmetry with Claude (Github Copilot) in the sidebar. As a benchmark test, I asked both agents independently to explain the business logic behind my Gold-layer pipeline script: g2_roi_analysis.py.

The result is a beautiful display of technical reconciliation:

• Both engines parsed the script line-by-line in a matter of milliseconds(588ms).
• They precisely identified the exact Silver-layer input files (d1_global_ai_clean.csv and d10_udemy_courses_clean.csv).
• They mapped out the exact same financial logic: how the code calculates the Educational ROI multiplier by cross-referencing average tech salaries against Udemy course fees.
• They achieved a 100% match regarding the output destination inside the data/gold/ directory.

Having a Senior Data Engineer essentially "living" inside my computer, one that understands my repository's entire architecture instantly and allows me to double-check and reconcile my pipeline's logic in realtime across two fully functional chat window, is a complete gamechanger. Goodbye generic AI hallucinations, hello true DataDriven engineering! 📊💻

Spanish

🚀 ¡La era del contexto local y los agentes de IA orquestados ya está aquí!

Hoy logré consolidar por completo mi entorno de desarrollo in-house para mi TFM (Edunitrix), utilizando Windows Subsystem for Linux (WSL), Ubuntu y Visual Studio Code.

Lo verdaderamente maravilloso de esta configuración es tener a OpenCode corriendo de forma nativa en mi terminal, trabajando en perfecta simetría y armonía con Claude (Github Copilot) en la barra lateral. Como prueba de fuego, decidí poner a ambos agentes a prueba de forma independiente, pidiéndoles que me explicaran qué hace mi script de la capa Gold g2_roi_analysis.py.

El resultado es una obra de arte de la conciliación técnica:

• Ambos motores leyeron el script línea por línea en milisegundos(588ms).
• Identificaron con precisión matemática los archivos de entrada de la capa Silver (d1_global_ai_clean.csv y d10_udemy_courses_clean.csv).
• Explicaron exactamente la misma lógica financiera: cómo el código cruza los salarios promedio frente al costo de los cursos en Udemy para calcular el multiplicador de ROI educativo.
• Coincidieron al 100% en la estructura de salida hacia la carpeta data/gold/.

Contar con un Ingeniero de Datos Senior "viviendo" dentro de mi computadora, capaz de entender toda la arquitectura de mi repositorio al instante y permitiéndome verificar y conciliar la lógica de mi código en tiempo real a través de dos chats vivos y funcionales, cambia por completo las reglas del juego. ¡Adiós a las alucinaciones de las IA genéricas, hola a la verdadera ingeniería Data-Driven! 📊💻

Hello,

Setup:

• MacBook For Remote use
• Mac Mini for Home Use
• Ubuntu 24 with a headless setup as a home Server.
• All skills are in the ".agents" folder for a given machine.
• Opencode.json and related configs are stored in ~/config/opencode for a given machine.

Issue:

• One machine has a skill that the other two don't. An MCP was removed in two, but still in one. Opencode settings differ between the three. Manually updating the three configs is a mess.

What is the ultimate solution to automate my Opencode settings where a change is reflected across all machines?

Ever since I subscribed Go plan I haven't used a single other model.

I tried all they're all too slow

I used so many model I can say it with confidence Deepseek v4 flash its clearly top 3 world after GPT-5.5 and CLaude 4.7

Its amazingly Good, trust me and try yourself.

Supposedly there's no way to enable editing? It looks exactly like most other IDEs except without the ability to edit text. Is there any plan to add that ability?

"If you are using the standalone OpenCode Desktop App UI rather than the terminal client, the built-in file viewer is currently designed as a read-only viewer to review repository contents."

The tweet:

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

Hi folks

I'm testing OpenCode to power an agent to work in the background by receiving requests via an HTTP API.

Right now I'm getting good results, but sometimes it can get stuck (thinks but doesnt do anything else afterwards). I understand this is related to a bug parsing Qwen3.6, but regardless of that, other problems might also come up in the future.

So I was wondering if there is already a way to prevent the agent from getting stuck and "dead". Hermes has a really cool feature that detects this cases and nudges it to move forward. I'm not yet familiar with all the ins and outs of OpenCode, so I thought I would ask first.

Thanks!

My dev box is alwayon, Linux, tailscale. I just want to see existing sessions. The built in web interface for opencode works fine. But i am hoping to get a better native app experience.

EDIT: none of these worked for me. KittyLitter seem cant find opencode on the server. Whisper is 2 month with no updates. Paseo had bugs, the latest version finally connected but doesnt show existing sessions.

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?

As user of opencode and opencode go I'm very happy to announce that I've implemented realtime usage rate limits of OpenCode Go on codewalk!

CodeWalk is an app built in dart/flutter as GUI of OpenCode, similar to OpenCode Web/Desktop, OpenChamber, etc.

Thanks to the PR of ebrainte in OpenChamber repo!

Access through context ring

Please, install, star and share some feedback: https://github.com/verseles/codewalk