Meta wants to get inside your terminal with its new coding agent

The Register ·

Meta has released Muse Code, a beta terminal-based coding agent designed to demonstrate the capabilities of its latest large language model, Muse Spark 1.2. The tool positions Meta as a direct rival to established coding agents such as OpenAI Codex and Anthropic's Claude Code, and is intended to help developers plan codebase changes, write code and validate the results. It marks Meta's continued push into AI-assisted software development, though notably the underlying model remains closed-weight and cloud-hosted, a departure from the company's previously open approach with its Llama models.

Muse Code works as an agent orchestrator, spinning up background agents that maintain a shared context file while sub-agents work in isolated work trees, logging actions before execution so no work is lost. CEO Mark Zuckerberg cited tests in which the platform built six features for a game simultaneously without collisions, and another where agents made over 1,000 tool calls during a 24-hour kernel optimisation task. Muse Spark 1.2 is the third model release in four months from Meta Superintelligence Labs, formed in June 2025, and addresses coding weaknesses acknowledged when the multi-modal model first launched in April; Zuckerberg has not ruled out eventually open-sourcing Muse Spark.

In short

  • Meta launches Muse Code, a terminal AI coding agent, in beta.
  • Built on new Muse Spark 1.2 model, rivalling Claude Code and Codex.
  • Model stays closed-weight for now, though open-sourcing isn't ruled out.

Explained simply

Meta is a technology company whose products include Facebook, Instagram and WhatsApp. It has also developed AI models: its Llama models have been released with weights that developers can access, while Muse Spark is a newer model hosted in the cloud. Meta Superintelligence Labs, the group behind Muse Spark, was formed in 2025.

Coding agents use AI to help developers understand and change software projects. They can plan work, write code and check the results; some divide tasks among several agents working on separate copies of a project. Meta’s tool is aimed at the same developers served by products such as OpenAI Codex and Anthropic’s Claude Code.

The launch reflects Meta’s effort to expand into AI-assisted software development. Its approach also raises a broader question for developers: how much to rely on tools powered by cloud-hosted models, rather than models they can access and run themselves.

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