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

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Meta launched Muse Code, a terminal-based AI coding agent in beta that handles complex software engineering tasks across large codebases, competing with OpenAI's Codex and Anthropic's Claude Code.

Meta expanded its AI coding offerings with a new agent that, it promises, can handle complex tasks with complex software.
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# Meta launches Muse Code, an AI agent for large code bases | TechCrunch Source: [https://techcrunch.com/2026/08/05/meta-launches-muse-code-an-ai-agent-for-large-code-bases/](https://techcrunch.com/2026/08/05/meta-launches-muse-code-an-ai-agent-for-large-code-bases/) In Brief Posted: 2:21 PM PDT · August 5, 2026 ![Mark Zuckerberg wears a pair of Meta Oakley Vanguard AI glasses during the Meta Connect event in Menlo Park, California, on Sept. 17, 2025.](https://techcrunch.com/wp-content/uploads/2025/10/GettyImages-2235448056.jpg?w=1024)**Image Credits:**David Paul Morris/Bloomberg / Getty ImagesMeta, considered a bit of a straggler in the AI harnesses realm, is making strides to catch up\. This week, the company released a new terminal coding agent aimed at programmers looking for assistance with complex tasks across large software code bases\. Muse Code, which is currently available in beta, can accomplish “complete software engineering tasks across large repos,” Meta CEO Mark Zuckerberg said[in a social media](https://x.com/finkd/status/2085080750034940201?s=20)post on Wednesday\. Those tasks include “planning changes, writing code, validating the results,” he added\. Code, which can be installed with a single command, is powered by Meta’s previously released coding model, Muse Spark\. It handles large projects by launching its own agents, which then work simultaneously\. “When a job is big enough, it fans out to separate sub\-agents working in parallel in isolated worktrees,” Zuckerberg explained\. “Your working copy is never touched\. In testing we had it build six features for a game simultaneously with no collisions\.” The move attempts to position Meta more competitively, and more affordably, with AI Lab peers like OpenAI and its coding agent Codex, and Anthropic with Claude Code\. “We think that for a lot of workflows and a lot of use cases, this can be an incredibly good option, especially from a cost perspective,” Alexandr Wang, Meta’s AI chief, who leads Meta Superintelligence Labs,[told](https://www.wsj.com/tech/ai/meta-releases-coding-agent-to-compete-with-openai-and-anthropic-af87b517?mod=e2twd)the Wall Street Journal\. Meta has been attempting to grow its AI presence by[pouring money](https://www.reuters.com/business/meta-narrows-annual-capex-forecast-ai-buildout-grows-2026-07-29/)into development\. In June, it expanded beyond its core focus of using AI to support its advertising business and[entered the enterprise AI market](https://www.reuters.com/business/meta-launches-enterprise-focused-ai-business-agent-automate-daily-operations-2026-06-03/)with an agent aimed customer service and support\. ### Newsletters Subscribe for the industry’s biggest tech news ## Related ## Latest in AI

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people will compare the model. the more useful part might be how it runs

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Meta released Muse Code beta with Muse Spark 1.2, positioning it as a third coding-agent option next to Claude Code and Codex. Its key differentiators are parallel sub-agents in isolated worktrees, persistent background agents, and local event logging for crash recovery, making it suited for long-running tasks on large repos.

Muse Code and Muse Spark 1.2

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Meta releases Muse Code, a terminal coding agent, and Muse Spark 1.2, an upgraded coding-focused model with improved code generation, debugging, and long-horizon task handling.