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About

Command Code is a frontier coding agent that lives in the terminal, builds full-stack projects, ships features, fixes bugs, writes tests, and refactors code while continuously learning how each developer works. Powered by the meta neuro-symbolic taste-1 model and continuous reinforcement learning, it treats every accepted suggestion, rejection, and edit as a signal, turning recurring choices, structures, patterns, and tooling preferences into project-level skills and persistent memory. Instead of relying only on generic best practices, it learns code-review habits, style preferences, architectural decisions, package managers, libraries, and small conventions developers rarely document, then applies the relevant taste context in future sessions. Command Code supports interactive CLI work, headless prompts, automated execution, plan mode, background sandboxes, custom agents, checkpoints, and memory across sessions.

About

Muse Code is Meta’s terminal coding agent, powered by Muse Spark 1.2, for handling complex software engineering tasks across large repositories. The agent can plan changes, write code, validate results, and coordinate multiple persistent subagents during development sessions. Muse Code uses async background agents that stay active throughout a session to reduce repeated information gathering and help complete multi-step tasks with less steering. Its runtime uses a local event log that records model calls, tool runs, approvals, and edits so sessions can be replayed and resumed after failures. Muse Code includes bundled skills such as /plan for approval-gated planning, /grill for stress-testing plans, and /goal for working toward completion. Built for AI developers and software teams, Muse Code helps automate coding workflows, long-running engineering tasks, debugging, and repository-level development.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Engineering leads at growing SaaS companies who need an adaptable coding agent that follows shared architecture and development standards

Audience

Software engineers, AI developers, coding agent users, platform teams, DevOps teams, ML engineers, research teams, enterprise development teams, and organizations that need terminal coding agents, repository automation, code generation, debugging, validation, persistent subagents, replay-safe execution, long-running coding workflows, and end-to-end software development support

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$1 per month
Free Version
Free Trial

Pricing

$1.25 per 1M tokens (input)
Standard pricing: $1.25 per million input tokens and $4.25 per million output tokens

Discounted "contributor" tier costing $0.10 per million input tokens and $0.20 per million output tokens for users who agree to share feedback to improve the AI.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5

Pros & Cons from Real Users

Pros

  • Muse Code looks exciting because Meta is finally going after coding agents directly, not just releasing another general AI model. A terminal-based agent that can write code, inspect software, run tests, and validate changes is exactly the kind of workflow developers actually care about. The pricing angle is a big deal. Meta is pitching Muse Code as one of the more affordable coding agents, with a lower-cost tier that is reportedly less than one-tenth the cost of its general Muse Spark model. That matters if you use coding agents all day instead of just for the occasional refactor. I also like that it is powered by Muse Spark 1.2, which sounds more focused on software engineering than earlier Muse Spark releases. If Meta can make the agent reliable inside real repos, Muse Code could become a serious daily tool.

Cons

  • It is still in beta, so I would not trust it blindly yet. Coding agents need to prove themselves on messy codebases, failing tests, weird dependencies, security-sensitive changes, and long multi-step tasks. I would also want to see more independent developer feedback. Meta’s pricing and positioning are interesting, but the real test is whether Muse Code can consistently make good changes without wasting time or creating cleanup work.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Command Code
Founded: 2023
United States
commandcode.ai/

Company Information

Meta
Founded: 2004
United States
meta.ai

Alternatives

MiMo Code

MiMo Code

Xiaomi Technology

Alternatives

Claude Code

Claude Code

Anthropic
Deep Code

Deep Code

Chongqing Parsec Technology Co., Ltd.
MiniMax Code

MiniMax Code

MiniMax
Factory

Factory

Factory.ai
GSD Pi

GSD Pi

Open GSD

Categories

Categories

Integrations

Anthropic
Claude
Claude Opus 4.8
GPT-5
Kimi K3
Meta AI
Muse Spark
Muse Spark 1.1
Muse Spark 1.2
OpenAI

Integrations

Anthropic
Claude
Claude Opus 4.8
GPT-5
Kimi K3
Meta AI
Muse Spark
Muse Spark 1.1
Muse Spark 1.2
OpenAI
Claim Command Code and update features and information
Claim Command Code and update features and information
Claim Muse Code and update features and information
Claim Muse Code and update features and information