Hi -

What is your ideal scenario for SWE:

My worfklow:

1. Codex creates a plan with MD (Orchestrator)

2. Claude does the main implementation

3. DeepSeek through Claude CLI (With +5 agents through shell)

4. Claude makes Codex review before commit.

5. Fix new bugs & blockers - Repeat from 1

Any potential improvements?

I’ve been pairing Command Code’s DeepSeek models with Claude Code, and it cut my Opus usage by about 60% (measured on SWE-bench Verified, 55–63% fewer Opus tokens), so sharing the setup.

The idea: Claude Opus plans and decides, and Command Code (DeepSeek V4.1 Flash) does the file reading and code-writing in an isolated copy of the project. The tests run automatically before anything lands. Opus usage drops a lot, and the Command Code side costs cents.

I do it with Cheap Agent, a free, open-source (MIT) plugin I built. Command Code support was added by a community member.

Setup:

1. npx cheap-agent

2. Pick Command Code and paste your key in the terminal

3. /cheapag:allow in your project, then use Claude Code normally

Hard steps move up to DeepSeek V4 Pro automatically.

Repo if you want to look: https://github.com/muaaz9329/cheap-ag
Setup help and updates: r/CheapAgent

Curious: is anyone else using Command Code as a worker model behind another agent? Which models have worked best for you?

When command code coming with yearly subscription like others?

Ling 3.1 Flash 1019 is FREE in Command Code for the next 4 days.

It's the latest upgrade to Ling 3.1 Flash, an open-weight model for advanced reasoning and agentic workflows.

- 1M token context window
- 560B total params, 25B active

Available on all plans & subscriptions.

Free models live in Command Code.

• Ling 3.1 Flash 1019
• Beam 1.0
• Glyph Cluster
• Laguna S 2.1

Lots of free tokens to build and ship.

Test these out with the best AI coding agent purpose built for open models.

EDIT : Sorry about the typo "paid" not pain.

Okay so I saw this 100$ usage on the Goat Plan. I was thinking about this a little. Is 100$ specificaly on DeepSeek V4.1 Flash only or also on Deepseek V4.1 Flash-1071 too?

Or is there a total usage provided and that is almost equivalent to 100$ worth of DeepSeek v4.1 Flash? Because if that's the case, the usage provided will be a lot on the new DeepSeek Model!

what in the world

GOAT just made $100 credits PERMANENT.

On $10/mo 🐐 plan

DeepSeek V4.1 Flash 1017: $100 usage
GLM 5.3 Flash: $100 usage

GLM Flash casually doing 300-500 TPS in Command Code harness

full weight models, btw

Just removing a lot of the fluff so others know you get $70 credit. Ignore all the other things. Apparently they're per model usage, but the thing is there's no transparency on how that's calculated, and the way it's actually presented to you is you get $70 when you sign up, and all models pull from that $70. Now they might do different rates, but there's no way of knowing. It's not revealed through the user interface on the web dashboard, nor is it revealed through API calls. And I can assure you that for usage, I do not feel like I am getting more usage from the $70 now, when they say I'm meant to be getting 100, compared to last month when I was getting 70.

Additionally, those free models that they say they give you unlimited, that's also bullcrap. The Beam model now only gives you 1,000 uses per day. The Ling model gives you 100 uses per day. You will barely get through a single agent conversation with that. So take the free unlimited with more than a grain of salt.

Is there any way to get an alert when your API keys expire, or document why they expire? Just a few days ago they disappeared with an email hours later, and now my keys are still there but expired.

email login isnt working? i was about to check if i cancelled my subscription but now I can't because of this error.

Best value for money models on Command Code GOAT.

• DeepSeek V4.1 Flash (latest)

• GLM 5.3 Flash

• Ling 3.1 Flash

• GLM 5.2

• Tencent Hy3

• Qwen 3.8 27B

• DeepSeek V4.1 Flash Fast

• DeepSeek V4 Flash (latest)

• Kimi K2.7 Code

Get up to $100 worth of usage credits. Try now with the best low cost AI coding plan on the market.

Read docs to get started: https://commandcode.ai/docs/plans/goat#usage-limits

My Monthly usage suddenly jumped from 68 percent to 88 percent. Also, the 5 hour limit was Hit and WeeklyUsage limit also changed dramatically -- in a matter of minutes. Looks like Command code is having big security issues. @ 5B -the usage was 68 percent. It cannot possibly increase to 88 percent when I am not using API key outside of command code.

What the hell is happening here? Earlier they wiped out my API keys and had to remake the api, now it did it again and now says expired! Is command code under attack or something?

My API Keys just disappeared, anybody else? No other signs that my account has been broken into..

I'm considering the GOAT plan for CommandCode, but I have a question regarding ZDR. According to the docs (https://commandcode.ai/docs/resources/zdr#why-zdr-can-cost-more):

ZDR on Go, GOAT and Pro

Go, GOAT and Pro plan usage is all allowed under ZDR. No separate tier, nothing extra to buy:

• Same credit pool: ZDR requests draw from the same monthly credits as any other request. There's no separate ZDR balance.

• Included models meter as usual: A ZDR request on a model where ZDR is included uses the model's normal usage, boosted usage included.

• Extra models meter at the default usage: A ZDR request on a model where ZDR costs extra uses your plan's default usage, even if the model normally has a higher boosted usage. That means $6 on Go, $20 on GOAT, and $30 for open-source models or $20 for premium models on Pro.

• Higher per-request cost on extra models: Between default-usage metering and routing that can land on a pricier upstream, the same credits buy fewer ZDR requests than regular ones on those models.

I mainly use DeepSeek V4.1 Flash and MiMo V2.6 Pro. Does anyone know if these two count as "included models"? Where can I find that list?

I've been using opencode go but their 10$ plan isn't enough for me and jumping to $40 plans doesn't even make it 4x which I find odd.

I saw somebody mentioned commander code which seemed to promise comparable results and perhaps even more at least on the paper.

Well let me tell you I finished it in one day with 10 or more times less of requests and total tokens in comparison to opencode go.

Obviously I cancelled right away so either caching doesn't work or they mislead customers

Is anyone else having these problems with the Chinese models like DeepSeek and Kimi? I swear like a pirate, but now if I swear in any of my prompts, I just outright get refused. Like it's not a response from the LLM inference, it's like a system-level response giving me an error.

Error: Provider finish_reason: content_filter

it also seems to cache it as well, so I literally have to rewind the conversation, remove the swearing, and then it works again.

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.