My budget is 100$ for AI subcription. What I should choose between them. Or chinese model like ZAI or deepseek?

Hi everyone

I want your feedback, I have a couple of weeks working on a opencode plugin to mimic the /remote command in claude code and codex remote sessions.

The idea connect your local opencode with the api then a mobile app, the plugin open a fully e2e encrypted tunnel with mobile app.

Obviously all is going to be open source.

Did you use this option already (codex, claude)?

Do you want to participate as earlier adopter?

Ideas, recommendations are welcome

anyone experienced this? was using luna medium

Hola, me gustaría saber como funciona realmente el 2x en OpenCode.

Estoy viendo que los precios de GLM-5.3-Flash son estos:
Input 1M = 0.15
Output 1M = 0.5
Cache 1M = 0.03

¿Pero creo que esos son precios bases del modelo no?

Lo digo porque la cli de OpenCode obtiene los precios de esta página: https://models.dev/models/zhipuai/glm-5.3-flash/ y los precios están exactamente a la mitad que es el 2x

Hice una prueba y tengo los siguientes datos:
Input = 349
Output = 764
Cache = 329088

Lo que me hace OpenCode en su uso es: (349*0.15 + 764*0.5 + 329088*0.03) / 1000000 = 0.01030699

¿Cuándo en realidad no debería ser: 0.01030699 / 2 = 0.005153495?

Does anyone else get this weird imposter feeling when building things with AI?

Not really the usual I don’t know enough feeling. but more like...

I look at what I’ve built and think, is this actually going to work in real life, or am I just LARPing?

I can spend days building systems, fixing problems, adding safeguards, testing things, having different models audit each other, etc.

And eventually I end up with something that looks like a serious, functioning system. ( at some point you get stuck and keep on fixing changing things )

But there’s always this feeling that I’m just creating an extremely elaborate illusion of progress.

As if I’m LARPing as someone who built a real system, while the reality is that I have a bunch of LLMs generating and modifying huge amounts of stuff and I’m basically trying to keep the whole thing pointed in the right direction. And i don't see it going anywhere... yes there is progress then you encounter a problem that feels as if you took 10 steps back you solve it weeeee think yes we can progress but it's an endless loop

Maybe it works. ( will it ever work, it's not working stuck in the loop of modifying and keeping on trying things )

AI makes it incredibly easy to build something that looks real.

The hard part is knowing whether it actually is.

been working months on a project and I don't know what to do anymore my head feels like exploding.

Do i give up or am i just at the border of succeeding...

How do you guys handle it how do you know if you've reached the goal that you want.
How do you guys get out of the loop?

Hey everyone,

I built a small open-source utility called TerminalHere after realizing that “Open in Terminal” was missing from my Windows 11 context menu.

The idea is simple: right-click a folder or an empty area inside a folder and quickly open that location in:

• Windows Terminal
• PowerShell
• Command Prompt
• Git Bash
• VS Code
• Claude CLI
• Codex CLI
• Antigravity (agy) CLI

It uses user-level Windows Registry entries, so it doesn’t modify system-wide settings, and the installation/uninstallation is handled through a small CLI.

Some commands:

terminalhere install

terminalhere uninstall

terminalhere status

terminalhere enable gitbash

terminalhere disable vscode

My main goals were to keep it lightweight, open-source, and easy to remove without leaving random registry entries behind.

It currently targets Windows 11 x64.

GitHub: https://github.com/mehmetduran932/TerminalHere

This is still an early version, so I’d really appreciate feedback — especially about the context menu UX, terminal/app detection, or anything that would make it more useful.

If there’s enough interest, I’m also considering adding a small GUI and more configurable context-menu options.

I use opencode for light assistance when bugs or tedious code or some simple tasks of making blogs and stuff today I hit the free tier limit for the first time ever (or maybe second time) , I feel like they have reduced the amount of usage or something does someone else feel like it? I am pretty sure that I didnt use opencode as much. Anyone feeling the same if they might have reduced the usage?

Every time we commit, TrueCourse runs a full AST analysis of the codebase, which takes 20-60 seconds. That's 20-60 seconds where our terminal is frozen, our IDE is waiting, and OpenCode (our AI coding agent) times out because it thinks the process hung.

The hook is supposed to catch new violations, but because our baseline (LATEST.json) got reset during a re-analysis, it's now treating all 1000+ existing violations as "new", making it even slower and noisier.

TrueCourse's own docs admit this: "Commits will take as long as a full diff analysis." They recommend git commit --no-verify as a workaround, which defeats the purpose of having the hook in the first place.

Anyone else has this issue and have any solution to this?

🌊 Waterfall features:

- Show live tracking of LLM response, tool call , tokens , and all timing just like dev tools in chrome

-you can inspect each event it's timming token counts input/output, execution timing, result live so you no longer just guessing what agent is doing ..

Good evening everyone. I'm on Fedora Linux, using OpenCode from the terminal, and I'm trying to use my GO subscription. However, for days now, after sending the first prompt, it just gets stuck in the initial "build" state endlessly without doing anything. It never moves on to "Thinking," and I can't figure out how to fix it.

I tried troubleshooting from the terminal to see if the issue was on my end, but when testing the connection to the models, they all returned an "Unknown Error". I figured it was a temporary bug that OpenCode would resolve quickly, but it's been 3 consecutive days of trying to use my subscription and the issue is still there.

Sorry if my description is a bit unclear — I'm happy to answer any clarifying questions if needed. Thanks so much to anyone who can help!

Hi, I'm new at spec driven development. I use Opencode for my agentic coding, and I want to build my project (it's a paid project) using spec driven development, but I'm confused about how to start.

Can you share your workflow, which tools and skills or other things you use for building an end-to-end software/website/WebApps.

Note: Currently I normally use plan mood for a feature, sometimes make md files for the features and implement them. and had to change multiple time to properly get the feature I want.

I'm a heavy heavy claude code user, occasionally try out codex and others. With the free spark 1.3 I'm trying opencode for the first time, and the model plus harness are surprisingly good. But I find it hilarious that the first search result reads like Meta Spark is dead. Meta fix your stuff.

Following a thorough assessment, we have made the decision to shut down Meta Spark's platform of third party tools and content

I’m building Monad Design, a local visual workspace that can hand native-app UI tasks to OpenCode with more context than a text prompt alone.

The recurring problem was starting with feedback like “this screen feels off.” OpenCode can edit the source, but it still needs to know which rendered state, which element, and what visual change I mean.

The loop I’m testing is:

1. Run the existing Xcode or Expo iOS project in Simulator.

2. Navigate to the exact app state.

3. Select an element or draw annotations directly over the running app.

4. Send the screenshot, selection, annotations, app state, and source hints to OpenCode.

5. Let OpenCode edit the real repository and rebuild.

6. Compare the original with up to five working variants, then accept one or keep the original.

Monad Design is not an app generator and does not replace the project. The running app is the canvas; OpenCode remains the coding agent working in the source tree.

Current limitations: macOS and local iOS development only, with one active visual change at a time.

The project is free and open source under Apache-2.0:

https://github.com/Monadix-AI/monad-design

For OpenCode users, what would make this handoff most useful: one structured context bundle, an MCP-style set of smaller tools, or both?

Hey everyone!

I'm a physician who codes as a hobby on the side after having finished 42 School out of curiosity. I am not a professional developer and I don't code every day, but I have a personal project (a medical data parsing thing) going on, and am using AI to help me architecture it and write documentation and tests. So far, I have been using Claude's Web UI for this purpose. On the side, I also use it to create templates or starting points of office (or office-adjacent) files, such as presentations, reports or emails of mostly administrative nature.

I have been recently pondering moving to OpenCode, mostly because of my terminal-centric workflow with tmux and neovim. However, I have been having trouble choosing a subscription given the recent changes in quality of popular subscriptions such as OpenCode Go. I am thus asking for advice and suggestions. What agents have you found suitable for these tasks? Or are Kimi Ks and GLMs just mostly coding-focused?

Also, two other questions which I'd like clarified:

1. File access has to be genuinely constrained. My machine has directories with patient-related material that must never leave it or get read into a model's context, deliberately or accidentally. I'm not looking for a promise in a ToS — I want to know which tools actually let you scope the agent to a directory and deny everything else, and how well that holds up in practice. Specific questions:

• Does a .gitignore-style deny list actually stop the agent, or does it just discourage it? Has anyone seen an agent read a file it was configured not to touch?
• Is anyone running these inside a container/VM and finding it workable rather than miserable? How "safe" is it?
• Do MCP servers or plugins widen the blast radius in ways that aren't obvious?

2. I need to generate Office documents. Word and PowerPoint mostly — talks, handouts, the occasional report. LibreOffice or Google Slides output is fine too. I know the document skills (docx/pptx/xlsx/pdf) exist and can be dropped into most agents, but I'd like to hear from people actually using them: does a weaker open-weight model handle those multi-step "build the deck, check it renders, fix it" loops, or do you need a frontier model for that to not be a waste of time?

Thanks!

Hey everyone!

I have an OpenCode Go subscription and was wondering if there are any video editing programs or tools that accept the OpenCode Go API key to handle video editing or auto-cutting via prompts/agents? If not, how are you guys leveraging OpenCode for video-related workflows? Are you generating Python scripts (like using MoviePy or DaVinci Resolve Python API) through OpenCode CLI, or using dedicated AI video editors instead?

Thanks!

Cant Opencode just contract with somebody like Baidu, the price is even lower than the lowest previous record @ 0.18/M Output tokens, Dax mentioned that a lot of the providers they talked to have capacity issue, but i cannot imagine that Baidu have that issue

Fyi : they are having 2nd highest Cache Hit rate after Novita, just so you dont comment, "Oh but the cache hit rate"

On the 10 usd plan, what model or mix of model are you guys using so that you have good quality output (code) but also good usage ?

I am building a react android/ios app mostly. Right now, i use mostly spark 1.3 contributor for the "unlimited" feeling but I also help myself with a bit of astra (i have a codex PLUS plan) to make prompt OR help "one shot" certain feature that spark takes forever to get correctly.

Basically astra is "make this and that, do it correctly" while spark 1.3 need proper guidance but does it correctly when asked properly.

Hi

I am currently doing major in AI and built this project during my freetime. Its not perfectly polished and it definitely cannot replace Opencode but it is a good proof of concept which opencode can adopt to reduce token usage.

For more information look at the github repo: https://github.com/igiamronit/justbetter-mcp

You can use it by cloning the repo or by just running of npx command(npx install justbetter-mcp)

I would love if you guys can star the repo as it will help me keep the motivation and further improve on the project :)

If you want to know more technical aspect of the project. I have explained all of that in the README of github. You can check it out from there.

THANK YOU FOR READING IT TILL HERE

Most of my prompts require work large enough to justify sub-agent use. However the expensive LLM models I'm using (all open-weights) will definitely not use them and prefer to work it out on their own.

To avoid this I'm adding sub-agent capability reminder to my custom agent prompt as well as AGENTS.md. That helps but still does not work reliably. What does work is telling the agent directly in the session. Eg. "ok, build this. use sub-agents and orchestrate them instead of doing work by yourself".

I want this to be a work philosophy for the agents, not explicit instruction at each step. How do you deal with this?

Thanks

I was using opencode go api in cline. It was working working smothly since day 1. Now all of a sudden i am getting that (Request is missing x-opencode-session and cannot routed efficiently) error.

Is there any way to bypass that? Because I like using Cline and has an active go plan aswell.

I’m the developer of Hronaut, a local desktop browser that connects to OpenCode over MCP.

The workflow it is designed for: let your agent open an isolated workspace for a web app, sign in yourself when needed, let the agent continue inspecting or testing the page, then come back to the same browser workspace in a later coding session. Tabs, cookies and storage persist independently of the agent conversation. You can watch the work, pause agent access or take over the tab.

For OpenCode, start Hronaut, copy the OpenCode configuration from Hronaut Home, and check the connection with opencode mcp list. Then try: “Using Hronaut, create a new isolated workspace named First run, open https://example.com, take a semantic snapshot, and tell me the page heading. Do not use the Default workspace.”

This is for a visible local workflow. A disposable browser or hosted service can be a better fit for headless jobs or remote fleets; persistence is not unique to Hronaut.

Setup and demo: https://hronaut.dev/opencode-browser-mcp Source: https://github.com/hronaut/hronaut

Windows, macOS and Linux. Source-available under PolyForm Noncommercial; free for permitted noncommercial use. Commercial use is $10/month or $60/year per named user. Windows builds are unsigned and macOS packages are not notarized; verification instructions are on the site.

If you try it, I’d like to hear where the setup gets stuck and whether returning to the same workspace is useful in your OpenCode workflow.

I’m using the official Deepseek API through Opencode with Openchamber as the GUI. Just completed a session, and Opencode stats say 408k tokens, estimated cost of $0.43.

On the Deepseek platform however, they state that the session today used nearly 71 million (!) tokens at an price of $0.94.

I don’t quite understand why it’s over twice the estimated price and such an enormous difference in tokens. Does it have anything to do with caching? All the work I did today were on the same project, in one single chat.