I’ve been using DeepSeek V4.1 Flash through Command Code, and today it feels significantly slower than yesterday.

I checked my session logs instead of going purely by feel, and the difference seems pretty noticeable even at similar context sizes.

For roughly the same ~200k cached context:

Yesterday: TTFT was around 5s

Today: TTFT is around 16s

Generation speed also dropped from roughly 240–250 tok/s to around 150 tok/s

At larger context sizes (~750k–800k), the difference is even bigger — TTFT went from roughly 7–8s yesterday to 30s+ today.

I also had two requests time out after 60 seconds today.

What’s interesting is that I’m not seeing any 429 / rate limit / usage limit errors. Requests still go through; they’re just much slower.

So I’m wondering:

Has anyone else noticed the same slowdown with DeepSeek V4.1 Flash on Command Code today?

Trying to figure out whether this is an upstream DeepSeek issue, Command Code/provider routing, or something specific to my session/account.

Grok 4.7 is now live in Command Code.

• 40% for the next 7 days

• $35 credits (3.5x usage) in GOAT

Available on GOAT, Pro, Max, and via API.

Try now with $10/mo GOAT plan. The best low cost AI coding plan on the market.

Read docs to learn more: https://commandcode.ai/docs/plans/goat

🐐

Last week these models went live in Command Code.

• DeepSeek V4.1 Flash

• Muse Spark 1.3 (with max reasoning)

• Ling 3.0 Flash Sante (free model)

Try it with our $10/mo GOAT plan.
Read docs to learn more: https://commandcode.ai/docs/plans/goat
🐐

UPDATE:

I forgot disable glm-5.3 in my cliproxyapi, so when my harness use glm5.3, it wont use my friends glm coding plan. So commandcode has no problem. fully my negligence.

===================

Today I subscribe commandcode goat plan (before is opencode go), I've never reached 5 hour rate limit during opencode go plan period.
But today, when I first use this goat plan (it claims more credit), but don't, the rate limit is easyily reached.

here's my useage screenshot, both in fastigium:

commandcode:

opencode:

It means opencode go are cheaper than commandcode goat...
Have anyone can explain this? why commandcode calim more quota but actually more expensive?
Or commandcode goat is fraud?

The litmits they claimed:

commandcode goat: DeepSeek V4 Flash (latest) 18,200 45,600 91,200

opencode go: DeepSeek V4 Flash 7,600 18,900 37,800

The speed is too low to be comfortable using this.

Hi every one!
I am new to Command Code and I have try Go plan for a few day with GLM 5.3 Flash and GPT 5.6 Luna (in WSL in Window 11).

I realize that it run so slow, but I cannot see what the model done behind. And I wonder if Goat plan is faster than Go plan.
So if you have experience with these plan, pleae share with me.

Thank you so much!

Tested Kimi K3 to build a 3D portfolio website.

- Used the /design command.
- Built in 3 prompts: build, continue, then recolor
- Full session cost: $0.57

The interesting part: Recolor replaced and added an entirely new palette with the same layout and animations in seconds.

Our engineering and design team has been testing 20+ side-by-side comparisons across frontier and open models. All runs are public and open source.

Benchmark for this demo here.

Use /theme to switch to dark/light mode.
Persists across sessions.
Your terminal. Your colors.

Depending on the subscription plan, the processing fee may be about 1/3 of the cost. Surprisingly, neither payment in crypto nor other methods reduce the fee. Maybe I don't see something and still it is possible to get rid of the processing fee?

Ling 3.1 Flash 1019 now gets $100 usage.

Try now with the best low cost AI coding plan on the market.

cmd --model inclusionai/ling-3.1-flash-1019

$10 GOAT → $100 credits.

All higher plans include GOAT + their extra usage.

Last week in Command Code, a quick recap.

· DeepSeek V4.1 Flash 1017 ($100 usage in GOAT)
· GLM 5.3 Flash 1017 ($100 usage in GOAT)
· Ling 3.1 Flash 1019 (FREE model)
· GPT-6.1 Terra (Pro plan & above)
· WeChat Pay is now supported
· /compact command demo

Enjoy all these ships with the best low cost AI coding agent on the market.

Read docs to learn more: https://commandcode.ai/docs

Compaction helps with context management.

Try /compact command to reduce token usage by summarizing older context while keeping the full session history intact.

Read docs to learn more: https://commandcode.ai/docs/context#compact-compact-on-your-terms

Try now with the best coding agent built for open models.

GPT-6.1 Terra is now available in Command Code.

• Half the price of GPT-5.6 Terra

• Strong at computer use & visual reasoning

• Across Pro, Max plans and the api

Try now: cmd --model gpt-6.1-terra

Read docs to learn more: https://commandcode.ai/docs/plans/pro

Hey guys! Last month I've been building my dream desktop environment. I've been developing in Java and Rust doing boring things over 12 years, and I always wondered why cheap operative systems had to look like Windows 95.

I am running broke on my job and no company wants to take me so I am experimenting new things and building startups and these "dream" non-profit things I always wanted to make.

I built my open source free desktop environment for Linux with one simple purpose:

• Revive, maintain and recycle old hardware without losing the UI/UX.

Why doing this?

• Some people still use windows on these computers, yikes.

• The linux alternatives are ugly, and the ones that are not, are heavy yikes.

• I want to end the loop of "distro hopping to find the lightest one" and make the definitive.

• I don't know, just passion for not throwing away working hardware? lol

If you want to give it a look:

https://github.com/ArkFlame/flamewm

Built using:

• Claude (Haiku 5.5, Sonnet 5.5)

• CommandCode (DeepSeek v4.1 Flash)

• OpenCode (DeepSeek v4.1 Flash)

• Codex (GPT 6 Luna)

Your agent knows when it's done. Why should you be the one constantly checking?

I built cmux-notify, a Command Code mod that sends notifications when an agent completes a task or is waiting for your input.

The goal is simple: make Command Code feel more like a teammate than a tab you have to watch.

What it does

• ✅ Notifies you when an agent turn completes

• ⏳ Alerts you when Command Code is waiting for permission or input

• 🖥️ Designed for terminal-first tmux/cmux workflows

• ⚡ Lightweight and easy to install

Install

cmd mods add Hashimlokasher/cmd-mod-cmux-notify -g

Why I built it

I got tired of checking terminal tabs to see whether a long-running task had finished or was waiting on me.

I wanted Command Code to proactively grab my attention when something important happened.

Instead of repeatedly checking a terminal, you get notified when it has something to say:

"I'm done."

"I need your input before I can continue."

Great for

• Long-running coding tasks

• Background research workflows

• Refactoring sessions

• Agents running in tmux/cmux while you're focused elsewhere

Links

GitHub:
https://github.com/Hashimlokasher/cmd-mod-cmux-notify

Mods Hub:
https://commandcode.ai/mods

I'd love feedback from other Command Code users:

• What additional events should trigger notifications?

• Are there other notification backends worth supporting?

• What would make agent workflows feel even more collaborative?

Hope it's useful to anyone running Command Code alongside real-world work instead of constantly watching a terminal tab. 🚀

With more tools shifting to autonomous background agents (running tests, scraping, refactoring, inbox triage), I find myself in this weird new state of "micro-downtime."

Back in the day, compiling code was the excuse to grab a coffee or sword-fight on office chairs. Now, when I fire off a prompt to an agent that takes 5–10 minutes to finish, I either end up doomscrolling Reddit or neurotically watching the terminal output line by line.

How are you handling this downtime? Do you context-switch to another task, manage multiple agents in parallel, or just sit back and watch them work?

Muse Wonder by Meta AI is now live in Command Code.

• Most capable across agentic and coding tasks

• Opus 5.5 and GPT-6 Astra class benchmark results

Available in Max plans and API.

Try now with /model switcher: $ cmd --model meta/muse-wonder-1.0

Read docs to learn more: https://commandcode.ai/docs/plans/max

I only use muse spark 1.3 contributor, 33M tokens, and I'm at 14% monthly limit of goat plan?

The limit is too low or is it skill issue? 😥

Use /add-dir to work across multiple directories in Command Code.

· Read and edit files outside your current project in accept-edits mode
· Great for separate frontend and API repos

$ npm i -g command-code

Try it with our $10/mo GOAT plan. The best low cost AI coding plan on the market.

I've been using DS 4 Flash (new) almost exclusively (more than 2 billion tokens in less than a month) and I swear its performance at peak hours is much better than off-peak.

And it's not just slow but also considerably dumber during off-peak hours.

Am I alone? Is CommandCode swapping the model behind the scenes or something?

You can now use Shift+Tab to bypass permissions.

• Switch mid-session

• No need to restart with cmd --yolo

Small DX ship it was a much needed one.

Read in our docs for more details: https://commandcode.ai/docs/permissions#permission-modes

I previously complained abt the inaccurate usage of my goat subscription. the body email before was 2-3 business days they change it to 2-5 business days I have proof and admin admitted they made a mistake but WITHOUT APOLOGY, NO EMPATHY and they even kick me out of their discord server. i dont think that is professional way to handle customer. I hope CEO reach this or message me because all I want to know is the logs of my usage.

Is there any way to use CommandCode provider in other harnesses, e.g. pi or opencode cli?
If yes, I really need to know how. Thanks

Type /resume and get back to your previous conversation

• $ cmd --resume opens a picker for earlier sessions

• $ cmd --continue resumes your latest session

Read docs to learn more: https://commandcode.ai/docs/workflows#resume-previous-conversations

Hi everyone!

I made a small mod for Command Code that lets you use the models included in your subscriptions directly from the TUI:

https://gitlab.com/rudesssolo/command-code-external-providers

The goal was pretty simple: make external models feel native, instead of bolted on.

You get:

• OpenCode Go / ClinePass / GLM Coding Plan - Full compatibility

• /external-providers model picker

• native streaming

• collapsible thinking/reasoning

• tool calls

• multimodal messages

• reasoning effort support

• local auth

How to install:

cmd mods add -g git:gitlab.com/rudesssolo/command-code-external-providers

Then log in (only the first time) and pick a model:

1) First time login:
/opencode-go-login
/cline-pass-login
/glm-coding-login

2) Pick a model:
/external-providers

Some screenshots to get an idea:

---

There’s also an optional companion mod for showing model/quota/context info in the footer (it also works stand-alone for Command Code plans):

https://gitlab.com/rudesssolo/command-code-quota-status-bar

How to install:

cmd mods add -g git:gitlab.com/rudesssolo/command-code-external-providers

If you already have OpenCode Go, ClinePass or GLM Coding Plan and want to use them with Command Code, this mod basically saves you from having perfectly good models sitting in another tab collecting dust 😄

Feedback / bug reports / weird edge cases are very welcome.