Meta 推出 Muse Code：面向大型代码库的 AI Agent

Meta 曾被认为在 AI 编程工具领域略显落后，如今正努力追赶。本周，该公司发布了一款新的终端编程 Agent，面向需要在大型软件代码库中处理复杂任务的程序员。

Meta CEO 马克·扎克伯格周三在一篇社交媒体帖子中表示，目前处于测试阶段的 Muse Code 可以完成“跨大型代码仓库的完整软件工程任务”。他补充称，这些任务包括“规划变更、编写代码、验证结果”。

Muse Code 可通过一条命令安装，由 Meta 此前发布的编程模型 Muse Spark 驱动。它通过启动自身的 Agent 来处理大型项目，这些 Agent 随后可同时开展工作。

“当任务足够大时，它会拆分为独立的子 Agent，在隔离的工作树中并行工作，”扎克伯格解释道。“你的工作副本永远不会被触碰。在测试中，我们让它同时为一款游戏构建了六项功能，且没有发生冲突。”

此举旨在让 Meta 能够以更具竞争力、也更具成本优势的方式，与 OpenAI 及其编程 Agent Codex，以及 Anthropic 的 Claude Code 等 AI 实验室同行竞争。

“我们认为，对于许多工作流和使用场景而言，这可能是一个非常好的选择，尤其是在成本方面，”领导 Meta Superintelligence Labs 的 Meta AI 负责人 Alexandr Wang 告诉《华尔街日报》。

Meta 一直在通过投入资金进行研发，以扩大其在 AI 领域的影响力。今年 6 月，该公司将 AI 的应用范围扩展到其核心的广告业务支持之外，并借助一款面向客户服务与支持的 Agent 进入企业 AI 市场。

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.

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.

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 the Wall Street Journal.

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.