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

Meta 发布 Muse Code：一款针对大型代码库的 AI 智能体

Meta, 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.

Meta 在 AI 开发工具领域一直被视为稍显落后，但目前正奋起直追。本周，该公司发布了一款全新的终端编码智能体，旨在为需要在大型软件代码库中处理复杂任务的程序员提供协助。

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 post on Wednesday. Those tasks include “planning changes, writing code, validating the results,” he added.

Meta 首席执行官马克·扎克伯格周三在社交媒体上发文称，目前处于测试阶段的 Muse Code 能够“在大型代码仓库中完成完整的软件工程任务”。他补充说，这些任务包括“规划变更、编写代码以及验证结果”。

Muse 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.

Muse Code 可以通过单条命令安装，其核心动力源自 Meta 此前发布的编码模型 Muse Spark。它通过启动自身的智能体来处理大型项目，这些智能体能够同时协同工作。

“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.”

“当任务规模足够大时，它会将其分发给在独立工作树中并行运行的子智能体，”扎克伯格解释道。“你的工作副本永远不会受到影响。在测试中，我们让它同时为一个游戏构建了六个功能，且没有发生任何冲突。”

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.

此举旨在提升 Meta 在 AI 领域的竞争力，并以更具性价比的方式与 OpenAI 及其编码智能体 Codex、Anthropic 及其 Claude Code 等同行展开竞争。

“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 the Wall Street Journal.

Meta AI 负责人、Meta 超级智能实验室（Meta Superintelligence Labs）主管 Alexandr Wang 在接受《华尔街日报》采访时表示：“我们认为，对于许多工作流程和应用场景而言，这可能是一个非常好的选择，尤其是在成本方面。”

Meta has been attempting to grow its AI presence by pouring money into development. In June, it expanded beyond its core focus of using AI to support its advertising business and entered the enterprise AI market with an agent aimed at customer service and support.

Meta 一直试图通过投入大量资金进行研发来扩大其 AI 影响力。今年 6 月，该公司超越了仅利用 AI 支持广告业务的核心重点，通过推出一款针对客户服务与支持的智能体，正式进军企业级 AI 市场。