Skip to content
AI Tool

Muse Code Review

Muse Code is Meta’s AI coding agent for terminal and CI workflows, supporting task planning, file editing, shell-command execution, and parallel work across isolated Git worktrees.

shipped Oct 13, 2026freemium
Domain rating80Monthly visits381K/mo
Muse Code — product screenshot

Why it matters

1Meta identifies Muse Code as a terminal and CI coding agent for software engineers and DevOps teams.
2The listed context window is 1,000,000 tokens.
3Listed models are Muse Spark 1.2, Muse Spark 1.3, Muse Wonder, and Muse Wonder Full.
4Capabilities include text, vision, audio, and video inputs.

overview

What is Muse Code?

Muse Code is an AI coding agent tool developed by Meta that enables software engineers and DevOps teams to plan, edit, and execute software-development tasks in terminal and CI workflows. It supports parallel subagents working in isolated Git worktrees and visual development from media inputs.

features

Key Features of Muse Code

Muse Code combines terminal-based coding tasks with CI use. Its listed capabilities cover repository editing, command execution, parallel development, and multimodal inputs; the product information describes built-in approvals and sandboxing.

  • Plans coding tasks, edits files, and executes shell commands in terminal workflows.
  • Supports non-interactive and headless agent workflows and checks in CI pipelines.
  • Coordinates parallel background subagents across isolated Git worktrees.
  • Includes approvals and sandboxing for command execution.
  • Supports visual coding and development from images, video, and PDFs.
  • Lists a context window of 1,000,000 tokens.
  • Supports text, vision, audio, and video modalities.
  • Lists Muse Spark 1.2, Muse Spark 1.3, Muse Wonder, and Muse Wonder Full as models.
  • Uses proprietary function calling.

use cases

Who Should Use Muse Code?

The stated audience includes software engineers, DevOps and CI/CD engineers, and developers building web, game, or multimodal software.

  • Software engineers automating end-to-end terminal coding tasks, from planning through editing and command execution.
  • DevOps and CI/CD engineers running headless agent workflows and automated checks in pipelines.
  • Developers coordinating parallel work across isolated Git worktrees.
  • Web developers building applications from natural-language prompts.
  • Developers translating image, video, or PDF inputs into software.

how to use

How to Use Muse Code

Muse Code is described for terminal and CI workflows. The available product information does not specify installation commands, account requirements, or a step-by-step setup procedure.

  • 1Identify a coding task or CI workflow to automate.
  • 2Provide the task and relevant project context to Muse Code.
  • 3Review its plan and use the available approval and sandboxing controls for commands and edits.
  • 4Let it edit files and execute relevant shell commands.
  • 5Check the resulting changes and outputs in the project or CI workflow.

pricing

Muse Code Pricing & Plans

Muse Code is listed as freemium, but the available product information does not provide free-tier allowances, paid tier names, or prices. The separate price figures in the research notes concern Meta model/API usage and are not established as Muse Code plan prices; the product data also says an API is not available.

  • Freemium: listed pricing model; specific free-tier limits and paid prices are not provided.

Enjoying this? Get one like it in your inbox each morning.

one email a day · unsubscribe in two clicks · no third-party tracking

Pros

  • +Supports headless coding workflows and checks in CI pipelines.
  • +Coordinates parallel subagents across isolated Git worktrees.
  • +Lists a 1,000,000-token context window.
  • +Supports text, vision, audio, and video inputs.
  • +Includes approvals and sandboxing controls, according to the product description.

Cons

  • −The available product information does not give concrete plan prices or free-tier limits.
  • −An API is listed as unavailable, limiting use through a documented public API.
  • −The product information does not specify installation steps or supported operating systems.
  • −Function calling is proprietary rather than described as an open standard.
  • −Training on user data is opt-in, so users should review Meta’s privacy policy and account settings.

Similar Tools

Muse Code vs Competitors

The available product facts establish Muse Code’s terminal and CI focus, parallel work across isolated Git worktrees, and multimodal inputs. They do not provide verified, like-for-like specifications or pricing for the alternatives below, so comparisons are limited to the differentiators supplied in the research notes.

1

Pairs directly inside git repos to automatically create scoped git commits with sensible commit messages as it edits your code.

You give up Meta's turnkey hosted infrastructure and bundled models, requiring you to supply your own API keys or local LLM runtime.

2
Goose↗

An extensible Rust-based terminal and desktop agent deeply integrated with Model Context Protocol (MCP) to interact across tools, databases, and APIs.

You trade Muse Code's specialized developer ecosystem integration for a broader automation tool that requires local setup and external model providers.

3
OpenHands↗

Executes complex workflows inside isolated Docker sandboxes with autonomous tool execution and multi-agent coordination.

Container runtime overhead makes it noticeably heavier to spin up and run locally compared to Muse Code's lightweight terminal footprint.

4

Specialized terminal agent engineered directly on Anthropic's reasoning models with native bash command execution and architecture-level reasoning.

You lose Meta's freemium model and model choice, locking your workflow into Anthropic API billing.

More on Stork

Related AI Tools

Other tools in this category, matched by shared tags

One short daily email of tools worth shipping. No drip funnel.

one email a day · unsubscribe in two clicks · no third-party tracking

For builders

This page is doing a job for someone else’s tool.

AI agents read it. Buyers land on it. It answers in eight languages and over MCP. Your tool can have one like it — live in 24 hours.