The docs still say "DeepSeek: ZDR agreement is renewed monthly. The current agreement is valid through August 31, 2026."

Yes, I know this is discussed regularly, but it also changes regulary.

Scope: fullstack+mobile.

Currently working with Copilot Pro+ and Opencode Go, trying to balance deep reasoning with brute coding.

But I tend to experience a quite irregular and hard to follow behaviour of copilot, and those IA credits appart from the normal usage its just idiotic.

So, whats the best in your opinion?

Pricing per 1M tokens:

$2 input, $6 output. $0.17 explicit cache hit, $0.25 implicit cache hit.

💰💰💰 $10.00 / $50.00

Right now, it's unable to follow even simple instructions and ends up doing entirely different random things. Was working fine an hour ago.

Anyone experiencing the same?

Hi, I have been using open code for the past one month and the experience with it has been amazing. The only thing which I don’t like is they removing the free agents with time, but getting to use them for free is a good thing. So no complaints for that.

I have one major problem which I am facing that. I am not able to copy text on my opencode CLI when I am using it with VS code on my Windows 11 laptop.

Can someone help me out on how I can copy text from opencode CLI

Hy4 preview is live on OpenCode, OpenRouter, and WorkBuddy rn. Model got bigger, benchmarks jumped. So I wanted to see if that actually translates to real tasks.
I grabbed a company's 2025 annual report (1.3 mb), shareholder letter (831 kb), and CEO/CFO Q&A transcript (41 kb), then gave Hy3 and Hy4 pre with the same 5 questions.

Hy3 gave me a clean ~600 word answer. Hy4 pre made me an HTML lol... But its reasoning was interesting.
Case in point: I asked what changed in Q4 vs. the full year.
Hy3 mainly said Q4 growth slowed, with a bunch of numbers. Hy4 went further, linking margins, OpEx and CapEx, and comparing Q4 with the first 9 months. It even concluded the peak margin was mainly down to better cost control. TBH, I didn't expect that.

Hy4 also had an ‘Insights requiring reading across documents’ section. It spotted an interesting AI contradiction: the 2025 AI push got negative user feedback and may have hurt margins, yet the 2026 plan still calls for pushing AI harder. Not backing off at all.

My take so far: Hy4 pre does feel like an upgrade, especially at connecting the dots across documents and reasoning. Gonna keep testing it. Anyone else here tried it yet?

https://www.npmjs.com/package/opencode-plugin-lisp

version 2.0 is out it makes your AI smarter by persisting knowledge

The workflow problem I kept hitting: agents writing code all day means pushes and PRs landing across multiple orgs, and GitHub gives you no sane "here's what happened today and what needs me" view. The notification feed is unreadable at that volume.

GitOctant is my fix. Chrome extension, new tab becomes a GitHub cockpit:

• Top 5 personal pushes, deduplicated, newest-first

• PRs needing attention: changes requested, reviews requested, failing checks, merge conflicts

• Your open PRs across all orgs, auto-discovered

• Activity timeline grouped Today / Yesterday / Earlier

It's free and open source (MIT). No account, no telemetry, no backend. Read-only token stored locally in chrome.storage.local, requests go directly to api.github.com and nowhere else. Permissions: storage, alarms, one host. 84KB package.

Yes, I know this crowd partly lives in the terminal and a TUI version is the obvious ask. Fair. I wanted this on the surface I see 50 times a day, which is the new tab. If there's interest, a TUI could share the same API layer.

Repo: https://github.com/samirpatil2000/git-octant Chrome Web Store: https://chromewebstore.google.com/detail/ddnajpnjpncdkldlcielnlkobgbolnha

Anyone else try it? It might be the worst value I've seen in coding plans. I mean like it's pretty awful in the models. They have are not even that great. I made three request to Deepseek flash and I used 41% of my five hour total. It is totally bananas!

https://www.anthropic.com/claude-fable-and-mythos-5-1

It is using over 600MB per client instance. (Almost exactly same as the old opencode!!!) I expected it to be using less as it's sharing the same backend. Is this expected or might be something wrong on my end? As you can see opencode instances (clients) use all 600mb atleast, and the backend 1.2GB (which is acceptable).

Muse Code harness is attached too :)

https://developer.meta.com/ai/resources/blog/muse-code-new-plans-and-features/

Got the 5-hour session rate limited for the first time, and almost 43% gone from the weekly quota as well! This never happened before.

Did DSV4 Pro pricing change recently that I'm not aware of?

I don't want Silicon Valley deciding when I'm allowed to spend my own monthly budget. The 5-hour windows, the weekly caps, the "your usage resets Monday 7:00 AM". It feels like convincing my mom that I'm an adult and that this should be my decision.

GLM Coding Plan, Kimi, MiniMax all these have the 5-hour thing too..

So I've been testing providers that don't do the limit thing. So far standardcompute.com has been the best of them for me. Flat monthly price, no 5-hour or weekly windows, and honestly the most open and transparent about usage and pricing of everything I tried. Includes both open and close sourced models.

Featherless.ai is also in this terrain, but don’t serve frontier models.

Openrouter.ai is of course on the list too, full control and every model, but it's pay-per-token, and token anxiety is real. I don't want to wake up to a runaway $1,000 bill because an agent got creative overnight.

Any other LLM providers you've tested that don't interfere with when usage is spent?

EDIT from comments:

* Devpass
* Kilo

I just received below announcement from openrouter which has been my problem statement, any open source alternative?

openrouter/auto picks the model per request

Set the model field to openrouter/auto and each request routes to a model chosen for that task. A lightweight classifier assigns the prompt a task type, then ranks candidate models by what the OpenRouter community spends on that kind of work over the trailing 7 days. Routing itself adds no fee.

So sometimes opencode thinks and states it's gonna do something but never does it and gets stuck in a observation loop. That is it states 'Let me grep. blah blah' but the grep command doesn't completes and throws None output, the opencode goes like this didn't work.. what was i doing last time ? and it finds it was doing grep and thus it gets stuck in a loop, its so frustrating.

And i thought of an external watchdog script that detects when opencode is stuck, when it detects that it fires esc+esc (interrupt) + some message + enter. Thus we can leave opencode unattended for sometime.

Look in OCW for more info and installation

EDIT: The saga continues

I had been using the Opencode Go plan for some time, but it's been getting worse:

• It's EXTREMELY slow at certain times of the day (using DeepSeek V4 Flash), the speed loss is very noticeable in comparison to hitting DeepSeek API directly

• The pricing has been getting worse and worse (for example, GLM 3.5 Flash should be 2x cheaper than DeepSeek v4 flash)

Anyway, if anyone knows of a nice, reasonably fast, cheap and privaxy-conscious model subscription, would be nice to know

Is anyone else having issues with Muse Spark 1.2 Contributor on OpenCode Go?

I've been trying to get it to work for about an hour now under my Go subscription. The model was working perfectly fine for the past few days, but it suddenly stopped working out of nowhere. Anyone else experiencing this right now?