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AI coding agent from Command Code AI that learns your coding taste with taste-1, then ships, reviews, and refactors in your style from the terminal.

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Command Code

Command Code is a terminal coding agent from Command Code AI, founded by Ahmad Awais. It positions itself as the first frontier coding agent that both builds software and continuously learns your coding taste. Every accept, reject, and follow-up edit becomes a signal for taste-1, a meta neuro-symbolic model that tries to encode how you name things, extract helpers, and structure tests. The product is installed with npm i -g command-code and launched as cmd on macOS, Linux, and WSL, or cmdc on native Windows. The company announced a $5M seed round on its launch page.

Key Features

  • taste-1 learning loop: Accepts, rejects, and edits are turned into project-level skills instead of a static rules file.
  • Interactive CLI: Slash commands, ! bash mode, @ file mentions, plan mode, permissions, memory, agents, skills, MCP, hooks, and git worktrees.
  • Headless and sandbox modes: cmd -p and --yolo support scripted runs; background sandboxing is built in.
  • Open and frontier models: Claude, GPT, Kimi, DeepSeek, MiniMax, GLM, Gemini, and others, including deal pricing on selected models.
  • Team taste sharing: npx taste push/pull moves a taste profile across machines and teammates.
  • Hackable surface: Reusable /skills, /commands, /mcp servers, plugins, and a /design mode with multiple interface audits.

Use Cases

  • Daily coding: Ship features, fix bugs, write tests, and refactor in a style that compounds over time.
  • PR review: Use the agent to review diffs faster, then keep the edits that match your taste.
  • Open-model harness: The launch post argues that many agents fail with open models because the harness, not the model, is weak.
  • Team onboarding: Share a taste profile so a new machine or teammate does not start from generic LLM style.

Pricing

Public pricing on commandcode.ai/pricing (accessed 2026-08-16):

Plan Price Stated credits
Go $1/month plus processing fee $10 credits included, up to about $40 usage with deals
GOAT $10/month plus processing fee $70 credits included, up to about $100 usage with deals
Pro / Max from $20/month; Max 10x and Max 20x advertised; $100/month Max listed with $150 credits Open-source plus premium models, higher rate limits
Provider API $15/month plus processing fee, pay as you go, no markup OpenAI- and Anthropic-compatible endpoints
Teams $40/month plus processing fee Shared billing and a pooled credit bucket
Enterprise Custom Org-specific limits and support

Several model deals were listed on the same date, including 4x DeepSeek V4 Pro through August 16, 2026, 50% off Gemini 3.7 Flash through December 31, 2026, and free Laguna S 2.1 / Ling 3.0 Flash while capacity lasts. Treat those as time-bound promotions.

Getting Started

  1. Install Node.js 22 or newer. Command Code refuses to start on Node 20 and below.
  2. Run npm i -g command-code@latest, then cmd --version (or cmdc --version on native Windows).
  3. In your project, run cmd and complete cmd login.
  4. Start a task in interactive mode, or use cmd -p for a headless prompt.
  5. After a few accept/reject cycles, inspect the generated taste artifacts and optional /share flow.

Frequently Asked Questions

How is taste different from a rules file or skill?

Skills and rules are static instructions. Taste is a learned profile: the agent observes what you keep and what you change, then applies that pattern later. Rules decay; the product's claim is that taste compounds.

Does it work on Windows?

Yes. On native Windows the short alias is cmdc because cmd is already the system shell. In WSL the alias is cmd.

Do I have to use Command Code's models?

No. The docs describe Claude, GPT, Kimi, DeepSeek, and other frontier or open models. There is also a $15 Provider API plan for OpenAI- and Anthropic-compatible clients.

Alternatives

  • Claude Code: Anthropic's terminal agent, stronger if you already live in the Claude subscription.
  • T3 Code: an open-source control surface for several coding agents, including Claude Code and Codex.
  • OpenCode: an open coding-agent stack if you want to own the harness.

Tips & Best Practices

  1. Correct early: the first week of accepts and rejects teaches taste-1 more than a long prompt ever will.
  2. Keep Node current: the CLI will not start on Node 20, so upgrade before debugging "silent" launch failures.
  3. Treat deal pricing as temporary: DeepSeek and Gemini promotions expire; budget against the base plan.

Conclusion

Command Code is a coding agent that tries to solve style drift, not just task completion. If you are tired of fixing statistically average code every session, install command-code, run a week of real reviews, and see whether the taste loop sticks.

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