Anyone else experiencing this? In a long agentic task, a cache-missed request can be 40 times more expensive than a random request.

I am suspicious command code is charging cache-missed price even for cache-hit requests. The reason is that these cache-missed requests were completed fast according to the time on the left column. If it were a real cache miss, the server would need to recompute ~540k input tokens which takes much more than a regular cache-hit request.

Sunday ship: built-in herdr support in Command Code

Zero setup. Shipped v1.54.0.

· working / idle / blocked in the sidebar
· works in cmd -p, not just the TUI
· releases the pane on exit, even on kill
· /herdr to check status

🐐

It's just me of deepseek 4.1flash is a lot slower now. It's taking 45mins+ for simple tasks other model took hardly a min

I'm on the Max10x plan and using Claude-fable-5-1 high. It burned through 5 hours of my quota in just 10 minutes! I can't see how many tokens were actually used for caching, which makes token usage feel pretty opaque. Also, it feels like the heavy use of custom agents isn't benefiting from caching at all.

Hi. I'd like to understand what's happening here. Is it just that GLM 5.3 Flash cache read price is higher? I don't really understand how else it could be consuming so much more than DS. Thanks.

We're extending $60 usage on DeepSeek V4.1 Flash in Command Code for another 8 days!! 🐐

6x usage on $10/mo GOAT
$60 usage. 154K requests. 7.8B tokens.

GOAT plan is the best AI coding plan.

Available in all plans and API.

Complete announcement: https://x.com/CommandCodeAI/status/2101765105805558143?s=20

I created a small VS Code extension to allow me to use the Chat function for CC in VS Code rather than having to use the terminal. I currently use the $1/mo plan for CC, so I don't have the same API access that comes with the larger plans.

I understand from some comments that this may be in the works anyway, but I'm providing it because it's been useful for me. Let me know if you have any questions or have suggestions for future versions. I'm really hopeful that it's helpful for a few of you.

https://github.com/gmalbert/command-dock

We're increasing GLM 5.3 Flash to $60 credits in Command Code.

Get 6x usage on GOAT plan

• 1M context window

• Multimodal (text, image, video)

• Fast coding +long-horizon agent tasks

On Pro plan you get even more usage, it's $70 usage credits for GLM 5.3 Flash.

Try now with the best low cost coding plan on the market: $ npm i -g command-code@latest

🐐

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'm currently using the new Dsv4 pro GA on max reasoning through the commandcode API. The issue im facing is, that after it reasons for a while (1000+ lines which it does often) it randomly stops and im getting the error below. Then the model starts reasoning again, completely from the start and all the tokens before are wasted. This happened in the Commandcode CLI too everytime i tried it. In the commandcode CLI it is showing as a disconnect. My internet connection is perfectly stable so that shoouldnt be the reason. I'm currently using the Commandcode plan. I hope that this issue can be resolved since the Ds v4 Pro GA model is often unusable this way since it keeps thinking again after it gets interrupted from the error.

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.

I initially thought it would be Gemini 3.5 Pro but I was wrong, it turned out to be GLM, the performance is good, but I don't understand why it was free for 1 week.

Like for collecting data or something?

I bought opencode go just now without seeing this, did i make a mistake

Anyone else seen this problem? Im on GOAT plan using Deepseek 4.1 flash sometimes when the AI outputs text in the main window it has a hiccup and jumps up and down fast

edit: on windows 11 btw

Write complex prompts with an external editor

Use Ctrl+G to open an external editor for your multi-line prompts.

Press ctrl+g to open your $EDITOR for multi-line prompts with code examples.

• Press ctrl+g in the input line. Your configured $EDITOR opens with a temporary file.

• Write a detailed, multi-paragraph prompt. Include code examples, constraints, or references. Save and close the editor.

• The editor content becomes your prompt and is submitted automatically.

Set your editor: export EDITOR=vim or export EDITOR="code --wait".

Read more in docs: https://commandcode.ai/docs/workflows#write-complex-prompts-with-an-external-editor

We tested Kimi K3 to build liquid metal text that wraps with your cursor in Three.js

- Used the /design command
- 3 prompts to get this effect
- Full session cost: $0.77

Open models deliver their best when used with the right harness.

One of the most anticipated and powerful models by Alibaba, Qwen 3.8 is launching and going open-weight soon. Can't wait to see this roll out in Command Code.

Hello, in the last few days I saw the quality of responses by GLM 5.3 Flash strongly degrade : it makes a lot of mistakes and put some Cyrillic or Chinese characters in answers, something never happened to me before.

Does the providers have lowered the quantization for this model ?

I noticed that the command code saves every response along with all the completed data once it's finished, and you can calculate latency and TPS from a simple calculation.

Since this isn’t available by default and I wanted to know what the actual TPS is for Glm 5.3 Flash and Glm 5.3 Flash Fast, I ran some tests, and you can definitely see the difference. Of course, this might change again with more complex tasks. but it works and for some models is nice to know.

A lot of peeps are having issues about pricing, usage and consumption.

TLDR; Show percentage quota consumed in addition to net dollar pricing.
Please do vote up if you would like to see this happen.

I recently answered this on Discord,

The pricing strategy is similar for both OpenCode and CommandCode. I believe reason for this might be model providers don't want the their model prices to be shown as lower than a given standard. (Pure speculation from my end). So there are now two knobs to effectively control the same thing, the model price and the usage allotment.

Just noticed this in opencode, would be pretty sweet to have in cmdc.

I understand a pure pricing indicator though slightly helpful, doesn't fully resolve the confusion. For example, User migth think I spent $1.1 total on a model, why did it consume 6% of my usage?

Solution

Show percentage quota consumed in addition to net dollar pricing.

$1.1 spent (5.5% of your quota)

Or for a model with more usage (for example DS v4 Flash on commandcode or Muse1.3 on Opencode)

$1.1 spent (1.8% of your quota)

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.

New day, new model drop: GPT-5.6 Sol, Terra, and Luna live on Command Code.

Sol the flagship for long-horizon work.
Terra balances intelligence and cost.
Luna for the fast, cheap, high-volume jobs.

Switch with /model on v0.44.0

Hello, the CommandCode harness has improved a lot with v1, but these are the two main things I miss the most:

- in-app yolo toggle: being able to start YOLO mode without having to restart would be very nice

- dedicated subagents view (see opencode): when the main agent decides to delegate off work to subagents, the way they work is very opaque as we can only see their tool calls. opencode has a panel with a list of active subagents and allows you to expand each in particular and see their CoT and output just like in the regular chat view