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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.

About

Codex is an AI-powered coding agent from OpenAI designed to help developers build, manage, and ship software more efficiently across the entire development lifecycle. It acts as an intelligent pair programmer that can understand codebases, generate features, and deliver production-ready pull requests. Codex can safely execute commands in sandboxed environments while assisting with debugging, refactoring, and testing. A key advancement is its computer use capability, allowing it to operate your computer by seeing, clicking, and typing across applications. This enables Codex to interact with tools that don’t have APIs, making it useful for tasks like frontend testing and app navigation. The platform also includes an in-app browser and integrations with various developer tools for a more unified workflow. Codex supports automation by handling ongoing tasks such as monitoring, issue triage, and follow-ups.

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

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

Audience

Codex is ideal for software developers, engineering teams, and tech organizations that want to automate coding tasks, leverage AI-driven workflows, and utilize computer-based automation to accelerate software development

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

$1.25 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

Pricing

$20/month
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 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.

Pros & Cons from Real Users

Pros

  • OpenAI Codex feels less like a coding assistant and more like a junior developer that can execute tasks independently. For knowledge workers juggling technical and non technical work, this shift is powerful because it can take a task, work through it, and return with usable results. Its ability to operate across full codebases is a major strength, allowing it to write, debug, test, and manage multiple files in a way that fits real world development workflows. The multi agent and automation capabilities are particularly useful since you can run parallel tasks and orchestrate work efficiently, which significantly improves productivity on complex projects. It is also expanding beyond pure coding with features that allow interaction with software environments, making it feel like a broader work assistant.

Cons

  • Codex can still struggle with very large or highly complex projects without iteration, and outputs often need refinement through multiple passes. The setup and workflow can feel heavier compared to simpler tools, especially when integrating with repositories or managing environments. There is also strong competition, and in some advanced or highly structured coding scenarios other tools may feel more precise.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Meta
Founded: 2004
United States
meta.ai

Company Information

OpenAI
Founded: 2015
United States
openai.com

Alternatives

Claude Code

Claude Code

Anthropic

Alternatives

Perplexity Computer

Perplexity Computer

Perplexity AI
Bolt.new

Bolt.new

StackBlitz
Codex CLI

Codex CLI

OpenAI
Claude Code

Claude Code

Anthropic

Categories

Categories

Integrations

Muse Spark
Muse Spark 1.1
Muse Spark 1.2
C
ChatGPT Work
Cosyra
GPT-5.1
GPT-5.2-Codex
GPT-5.3 Instant
Google Calendar
Google Drive
HTML
Laguna XS.2
MachinesFluent
Nimbalyst
OpenViking
Scalekit
Trivy
Wandesk
display.dev

Integrations

Muse Spark
Muse Spark 1.1
Muse Spark 1.2
C
ChatGPT Work
Cosyra
GPT-5.1
GPT-5.2-Codex
GPT-5.3 Instant
Google Calendar
Google Drive
HTML
Laguna XS.2
MachinesFluent
Nimbalyst
OpenViking
Scalekit
Trivy
Wandesk
display.dev
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