English · 7 min read
Command Code explained: the coding agent that learns your style
Command Code is a paid coding agent for the terminal and desktop, built around cheaper open models, with a feature called taste that learns from your accepts and edits. A plain-English guide to its plans from $1 a month, how credits work, where your code goes, and who it suits.
By Dapols ·
The short answer: Command Code is a coding agent you run in your terminal or desktop app. Its pitch is that it makes cheaper open models work well, and that a feature called taste learns your habits from what you accept, reject and edit. Plans start at $1 a month, with higher tiers at $10, $20, $100 and $200. It is aimed at developers who want to control cost per task. A small business with no developer has little use for it.
Checked on 11 November 2026 against Command Code's own homepage and pricing page. The pages we read do not name the company behind it or state a software licence, so we describe it as a commercial product and say nothing more.
What it is, in plain words
A coding agent lets an AI model work on a project: read the files, change them, run commands and check the result. The vendor describes Command Code as living "in your terminal", and its homepage also lists a desktop app for macOS, Linux and Windows, plus a headless mode for scripts and a background sandbox.
Its main idea is taste. The homepage says "every accept, reject, and edit is a signal", which it turns into project-level skills, using a model it calls taste-1. The pricing FAQ says taste "stores its learning data on your machine — and only your machine." So it is meant to remember, for example, that you always name things a certain way.
It also says it is built for open models, meaning AI models whose weights are published, which tend to cost far less than the big proprietary ones. The vendor claims tool-call repairs on every model, so cheaper models make fewer mistakes when they use the tools. That is the vendor's claim; we have not tested it.
Install it
The homepage gives a single command:
npm i -g command-code
That needs Node.js, then you sign in and start coding in a project folder. Its docs list MCP servers, skills, commands and plugins for extending it.
What it costs
Prices from the vendor's pricing page, checked 11 November 2026. Each plan also adds a processing fee.
| Plan | Price per month | What it includes |
|---|---|---|
| Go | $1 | $10 in credits, taste-1 access, open models |
| GOAT | $10 | Up to $100 in credits, API access |
| Pro | $20 | Up to $110 in credits |
| Max 10x | $100 | $150 in credits, higher rate limits |
| Max 20x | $200 | $300 in credits, the highest rate limits |
| Teams | $40 | Pooled usage, shared billing |
| Provider (API plan) | $15 | Pay as you go, no markup, works with OpenAI and Anthropic style clients |
| Enterprise | Custom | Custom credits and seats |
Source: commandcode.ai/pricing, checked 11 November 2026. Prices change; confirm on the vendor page.
How credits work. A plan comes with a bucket of credits, and each request spends some of them at the underlying model price. The FAQ says you can buy extra credits on demand "at the underlying API rate — zero markup", that top-up credits roll over and never expire, and that you can change or cancel at any time. How far a credit goes depends on the model: the pricing page says its request estimates are approximate and depend on the models you choose.
Where your code goes
The FAQ says code is handled by the model host. Anthropic, OpenAI, Google and Azure handle commercial and some open-source models on US infrastructure, with EU on demand, and open-source models route globally through the US, EU and Singapore. If your code is sensitive, read the privacy policy it links before you connect a project.
Who should use it
A developer who cares about cost per task and wants to route routine work to cheap open models, with a tool that remembers their style. The $1 plan is a cheap way to try the idea.
Who should skip it
- Anyone with no technical person. It is a developer tool.
- Anyone who needs an open-source licence or a named company with a support contract. We could not confirm either on its pages.
- Anyone whose bottleneck is not code. Try our plan finder first.
How it compares
See AI coding agent plans compared for every plan side by side, and the harness comparison for model policy and limits. Other guides: OpenCode, DeepSeek Harness, Pi and Devin.