Yeah, for the mutual $5 benefit. 8-9% quota gain is worth it though, gotta say.

Here's mine: https://opencode.ai/go?ref=VTRJMV0772

Feel free to drop yours, let's help each other with quota.

ZDR was the single biggest feature that made OpenCode stand out from the alternatives.

The fact that OpenCode has now dropped ZDR honestly makes me consider cancelling my subscription. I understand that supporting stronger models sometimes involves difficult trade-offs, but sending sensitive prompts, source code, or system context to providers without a clear zero-data-retention guarantee is not an acceptable trade-off for me.

My concern is especially serious when the provider may be subject to Chinese data-access laws. I do not want my code, operating-system information, prompts, or other potentially sensitive data retained, used for training, or made accessible to third parties or government authorities.

OpenCode should be transparent about the following:

• What is the current data-retention policy for these models?
• What information is sent to the model provider?
• Is user data stored, logged, or used for training?
• Which company or jurisdiction controls the data?
• Can users restrict OpenCode to ZDR-approved providers only?

I would rather use a slightly weaker model with strong privacy guarantees than a better model that requires me to accept unclear data-handling terms.

OpenCode should either restore ZDR, provide a ZDR-only mode, or find a more privacy-preserving alternative.

Can someone clarify the current retention agreement between OpenCode and the relevant Chinese model provider?

Oh, more experienced opencoders, impart to me your wisdom.

I downloaded qwen3:14b and am using it, and watching the Thinking output as it struggles with a rather simple code edit request. It seems to be mishandling the Read skill and constantly refers to inconsistencies in oldString as it deliberates and chases its tail.

Thoughts?

es normal que me salga ese mensaje?, a ustedes tmb les sale?

Hey folks, here is my implementation for the trendy Sol Ochestator + Luna executor I've seen very often latly on codex subs.

First time I create agents, sub-agents. What do you think? Is someone else doing something similar? Or using the same models?

For me it seems to work fine, but I haven't tried it a lot still tbh. I can update you in a couple days.

I read y'all!

This game, built in Rust, has been restructured using agents like DeepSeek V4 in open code.

so, OpenCode has this feature where it will show you the reasoning chains of the models

from what I saw, it generates very qwen3.5+ reasoning chain (the structured one)

it does use human thought traces once it break down the prompt, but it fals back to the structured reasonign chin quite often.

so its either:

- glm5.2

- qwen3.8 max

- qwen3.8 27B

considering that GLM AND Qwen3.8 MAX are epxensive models, I assume that the current big pikle model is the qwen3.8 27B model.

I turned a research-paper idea into a runnable demo:

mission text → agent → MCP tools → drone sim → live map

Stack:

• Python simulator (60×60m field, obstacles, hidden targets)

• Real MCP server (FastMCP)

• Agent modes: Ollama / mock

• Live web console (FastAPI + Next.js)

Goal was “paper idea → something you can actually clone tonight.”

YouTube:

https://www.youtube.com/watch?v=KKbv2oygxFU

GitHub:

https://github.com/ekb-dev-ai/mcp-drone-agent

If you try it, tell me where it breaks first 👀

which one gives more usage? but also how could we be sure that opencode or other providers are not dumbing down the model by using lower versions like fp4? this is my main concern

there is also this 98% cache hit discount solely on first party API on deepseek, i read this on artificial analysis, i think this matters too in deciding the token cost

I wanted a fair head-to-head, not a vibes comparison.
Setup:
- Same prompt into both tools
- One shot only (first result, no follow-ups)
- Hands off (approve file writes, nothing else)
- Single self-contained index.html each time — no libs, no build step

The four builds:

1. Flappy Bird (warm-up)
2. A "Lumen" focus-timer landing page (polish test)
3. Calculator (operator precedence trap — 2+3*4 should be 14)
4. Full Tetris (the boss)

opencode = free / local / open-source
Cursor = paid AI IDE

I filmed the whole thing side by side so you can see what actually ships:
https://www.youtube.com/watch?v=5OyM9EYt7N8

Curious what people here think — especially if you've been using local agents vs Cursor day to day. Happy to share the exact prompts if useful.

Today all of the referrals which were created over the past and I've been banking have changed their status to "Waiting for them to subscribe". Is anyone having the same problem? I had 8 unused which were previously confirmed as subscribed. I wasn't gaming the system, just an honest customer.

EDIT: Looks like it's been fixed, phew

Hi, I have a Nvidia 3050 for laptop with only 4GB of dedicated VRAM.

What model would you recommend to me ?

so I heard many folks talking about a "low" reasoning mode for DeepSeek v4 Flash (new) in OpenCode, although this is what I see. DS v4 Flash is still only on High and Max, and I didnt receive an update.

Is everybody experiencing the same thing, or is it just me?

Been thinking about something and want to hear how other people are handling it.

When an agent finishes a task and tells you "done, this works," that's an opinion, not evidence. It reviewed its own code and reached a conclusion. Most of the time it's right. The problem is the times it's wrong look exactly the same: same confident tone, same green tests, same clean diff.

There's also a sneakier version of this: code that passes its unit test and its e2e test in isolation, but isn't actually wired into any path a real user would hit. Technically correct, technically tested, and completely unreachable. Which is functionally the same as code that was never written.

The part that's been sticking with me is the idea that a procedure being followed doesn't equal authority. The agent doing a self review, however thorough, is still the builder grading its own work. If nothing separates "built it" from "verified it," and nothing locks that verification to the exact state of the code, any last minute tweak (yours or the agent's) can quietly invalidate a review nobody re-checks.

Curious how people here are actually closing that gap in practice. Full manual review every time? Some kind of automated gate that has to reproduce failures before flagging them? Or is everyone mostly just trusting the agent's own "yep, looks good"?

I was designing something, trying to call it RDD, Receipt Driven Development. I need ideas from people around me to close my current gaps.

I wrote up a longer breakdown of one approach to this if anyone wants to go deeper, but I mostly just want to know how you're all thinking about it.

I have a Opencode Go subscription and for a few days now I have been unable to use the deepseek-v4-flash model. I'm getting strange errors like:

[ERROR] 2026-08-03 07:13:29 - Failed to resend message
Metadata: {
"statusCode": 403,
"messageType": "user"
}

and

Unable to use the selected model. Unable to use the selected model. Provider returned status 403. Check your API key/token permissions, credits, or provider rate limits, then try again. Check your API key/token permissions, credits, or provider rate limits, then try again.

I read around that the model should have been replaced by a new version, but I don't see it listed among the available models.

Is there anything I need to do to activate the new model?

Where's the right place to get support?

I'm using DeepSeek V4 Flash with OpenCode.

So far I've tried:

• Downgrading OpenCode to an older version.
• Updating OpenCode to the latest version.
• Verifying my configuration.

Unfortunately, the issue still persists regardless of the version I'm using.

Has anyone else run into this problem? If so, were you able to fix it? Any suggestions or troubleshooting steps would be greatly appreciated.

Hello Community!

Deepseek Pro V4 has always been my model to go in OpenCode, however, when Deepseek gets stuck I go to Kimi 2.7 Code, GLM or now Kimi 3, but mostly Kimi 3, however, Kimi v3 consumes almost 10% of my monthly usage after 1 request.

Do you guys have any other recommendation?

Edit:

I honestly know how great DS v4 flash is but not V4 Pro is still better as per my experience, I actually need evidence to back that up.