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Meta launches Muse Code, an AI agent for large code bases

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Meta has unveiled Muse Code, a new terminal-based coding agent designed to assist programmers with complex tasks across large software repositories. The tool, currently available in beta, was announced by CEO Mark Zuckerberg in a social media post on Wednesday, positioning the company to better compete in the rapidly evolving AI harnesses market. Muse Code can handle complete software engineering tasks, including planning changes, writing code, and validating results, according to Zuckerberg.

Meta has often been viewed as a laggard in the AI race compared to rivals like OpenAI and Anthropic, but this release signals a more aggressive push. The company has been pouring significant investment into AI development, and in June it expanded beyond its core advertising business by launching an enterprise AI agent for customer service. Muse Code represents another step in that broader strategy.

The agent is powered by Meta's previously released coding model, Muse Spark, and can be installed with a single command. For large projects, it launches its own sub-agents that work simultaneously in isolated worktrees, ensuring the user's working copy is never altered. In internal testing, Meta built six features for a game at once with no collisions, demonstrating the tool's parallel processing capabilities.

This move directly challenges existing coding agents from AI lab peers, such as OpenAI's Codex and Anthropic's Claude Code. Meta aims to differentiate itself on both capability and affordability, offering a potentially lower-cost alternative for developers. The company believes Muse Code can be a compelling option for many workflows, especially from a cost perspective.

Alexandr Wang, Meta's AI chief who leads Meta Superintelligence Labs, told the Wall Street Journal that the tool could be "an incredibly good option" for a lot of use cases, highlighting its cost efficiency. This perspective reflects Meta's broader ambition to grow its AI presence while maintaining competitive pricing. The reaction from the developer community will likely determine whether the beta gains traction.

Looking ahead, Muse Code is in beta and expected to evolve based on user feedback. Meta continues to expand its AI portfolio, moving beyond advertising into enterprise and developer tools. If successful, this could reshape how developers interact with large codebases and intensify competition among AI-powered coding assistants.

Read original article →Source: techcrunch