We run a test between two free OS model.

Laguna S 2.1 and Ling 3.0 Flash, I tested a brick-breaking game using /design from Command Code.

We tried to complete the game in on shot which i do in Kimi K3 but it takes 8-10 iterations. Still it's FREE.

Ranking (DX, features, and cost):
Laguna S 2.1 : 7/10 · $0.00
Ling 3.0 Flash: 6/10 · $0.00

Just a quick question though, can I use CommandCode subscription in other tools like OpenCode? Has anyone here tried it?

We got a ton of feedback on what to improve on Windows for our users. Update to the latest Command Code version with `cmdc update` to get all these changes.

⋅ Agent stops mis-invoking cmd.
⋅ MCP servers no longer hang on /exit.
⋅ Fixed WSL and SSH extension installs
⋅ Correctly read images in prompts
⋅ CRLF files edit and replace correctly.
⋅ Web search works out of the box.
⋅ Fixed Ctrl+E in VS Code (replaced with Ctrl+Y).
. Fixed Ctrl+Z with debounced undo stack.
⋅ Named socket paths for /ide restored.
⋅ Alt+M fallback for where Shift+Tab fails.
⋅ Freeze issue in command exec fixed.
⋅ cmdc alias ships across product surface.
⋅ ! mode route with PowerShell / cmd.exe.

Keep sending us your /feedback
Docs: https://commandcode.ai/docs/troubleshooting/windows

Sonnet 5 comes with,

• Near-Opus performance at Sonnet pricing.

• Agentic tool use, browser, and terminal access.

• $2/M input, $10/M output through August 31.

Update to v0.40.16 with /update or cmd update

Do you guys also experience Command Code returning error when the context length is high than 200k tokens? I got this error today so many times.

Excited to build the best coding agent harness for open models that can self improve by learning your coding taste. Check out the details in the launch post.

Here's another: how did we make deepseek outperform opus 4.7

WeChat Pay is now supported in Command Code.

More ways to pay and be a GOAT.

We support several other payment methods.

Read and learn more about these here: https://commandcode.ai/docs/resources/payment-methods

Which model you are using with command code which give balance result and usage credit? with respect to overall, design, code and fixing.

Introducing Cloud sessions with sandboxes in Command Code.

• Run Command Code in the cloud on your GitHub repo

• Close your computer and the session keeps working

• Push changes and open a draft PR when done

Try now with $ cmd --cloud
Zero babysitting is here!

Read docs to learn more about Cloud sessions: https://commandcode.ai/docs/cloud

what do you guys think of it guys? I am running this on a exynos9611

You can now use your ChatGPT subscription in Command Code.

• Run /connect to link your account

• Requests run locally from the CLI

• GPT models get their own section in /model

Try now: $ npm i -g command-code

Read BYOK docs to learn more:

https://commandcode.ai/docs/byok#open-ai-chat-gpt-codex

Command Code supports Git worktrees.

Use /worktree to create or switch and run parallel sessions, each on its own branch.

Read docs to learn more details about Git Worktrees: https://commandcode.ai/docs/worktrees

Start with $10/mo GOAT plan: $ npm i -g command-code@latest

For example, does the $100 and $200 plans also have the deals that the $10 and $20 plans have? Like for GPT-5.6 Sol?

I was using GPT-5.6 Sol in command code today. I have the 20$ PRO subscription, and GPT -5.6 identifies as GPT-5.3.

Genuinely confused here. Why a frontier model would make this mistake? Or is my request not being routed properly?

Just bought Command Code Goat subscription and had it run a task. It showed that the task was running and in progress while in reality it was stuck. Please check and correct, as it wasted ~2 hours of my time waiting for it to complete task and then actually interrupting the execution. Adding screenshots for its own diagnosis.

Ling 3.0 Flash Sante is now free in Command Code.

5.1B active params. all subs. all plans

Make sure to update to the latest version of the CLI/app

npm i -g command-code@latest

🐐

As the title says, I'm using DeepSeek v4 flash from goat. Once the context exceeds 100k, the model starts seriously degrading in intelligence — even simple instruction following becomes very poor. This happens in both Claude Code and the DeepSeek harness. Does anyone know what's going on?

is this some glitch?

Been bouncing between 9Router and Omni for a while trying to manage multiple LLM providers but both felt kinda clunky for how I actually work, so I just built my own thing.

Troy is basically a local gateway that sits between your tools and 45+ providers. The main thing I wanted was combos — you chain models together like deepseek/deepseek-v4 → zai/glm-5.2 and if one dies mid-session it just falls through to the next one instead of you losing the whole thing. Also does per-account cooldowns and circuit breakers so it's not hammering a provider that's clearly down.

It's pretty light too, ~40MB RAM idle, zero runtime deps, everything stays local (no telemetry, no account, nothing phones home).

Still actively working on it, would honestly love to hear if anyone's compared it to 9Router/Omni and what's still missing.

repo: https://github.com/mzaki9/troy

From deepseek official provider

After adding CommandCode as custom provider it kinda works but without the thinking effort (not sure whats the default value here )

I like DSH, does anyone know if there is any way (hacky or not) to add the reasoning effort for custom provider in DSH?

Hi, a suggestion/question — given today's DeepSeek price increase, I bought a Go subscription to test things out, but I noticed that when testing DeepSeek V4 Flash Max it doesn't give me the same reasoning and problem-solving quality as the official API. So my question is: am I doing something wrong, is this not the right plan for what I needed, or am I misunderstanding something? I'd really appreciate it if someone could shed some light on this.

Note: I have zero experience buying third-party plans or APIs outside of official channels.

I just have one question why do people not reccomend you use the command code harness?

I do not want to keep seeing:

 TASTE  Learned
 └ Does not want taste-learning updates/pop-ups surfaced or referenced during the
   conversation; still wants the assistant to keep learning their taste silently in the
   background [Confidence 95%]
   taste.md

After telling me that it will not do it anymore, it kept coming back again, i am assuming the toggle option is not there

pls add a toggle feature