Command Code

What is Command Code

Command Code is an AI coding agent that learns your coding taste. It is powered by taste-1, a meta neuro-symbolic model that pairs LLMs with your coding preferences. It continuously learns from your accepts, rejects, and edits to generate project-level skills.

How to use Command Code

Install globally via npm:

npm i -g command-code

Use the interactive CLI for real-time coding assistance, or run headless commands with -p or --yolo flags. You can also use background sandbox mode.

Features of Command Code

• Always learning: Every accept, reject, and edit is a signal that auto-generates into project-level skills.
• A mode for every moment: Interactive CLI, headless -p/--yolo, and background sandbox.
• Pro tools built in: File operations, shell, grep, and extended thinking.
• Persistent memory: Custom /agents and /memory carried across every session.
• Hackable: Reusable /skills, /commands, /mcp servers, and plugins.
• Collaboration: /share sessions and npx taste push/pull for team taste sharing.
• Design partner: One command with seventeen modes for audits, recolors, and UI reships.

Use Cases of Command Code

• Faster coding: Code 10× faster with AI that knows your style.
• Code reviews: Reviews are 2× quicker.
• Fewer bugs: Bugs are 5× fewer.
• Open model support: Use open models effectively with a harness built for them.

Pricing

Open models start from $1/month with $10–$40 in free credits. Special deals include DeepSeek V4 Pro at 4×, MiniMax M3 at 2.7×, and MiMo V2.5 Pro at 99% off.

FAQ

What makes Command Code different from other AI coding agents? It learns your coding taste continuously, not just from a single session. It uses a meta neuro-symbolic model (taste-1) to adapt to your patterns.

Can I use open models with Command Code? Yes, Command Code is built to work with open models, closing the gap between open and closed models.

How does the learning work? Every accept, reject, and edit is a signal that auto-generates into project-level skills, so the agent gets better over time.