Meta 推出首款 AI 编程 Agent,挑战 Anthropic 和 OpenAI
英文标题:🔶 Meta debuts first AI coding agent to take on Anthropic and OpenAI
Meta 推出了首款编程 Agent——Muse Code,由 Meta Superintelligence Labs 负责人、首席 AI 官 Alexandr Wang 主导发布。该工具可通过一条命令安装,能够规划改动、编写代码并验证结果,定位与 Anthropic 的 Claude、OpenAI 的 Codex 等产品竞争。Muse Code 与 Muse Spark 1.2 协同工作,采用按量付费及更低价的贡献者套餐,并计划支持零数据保留请求。此举反映出 Meta 希望通过面向开发者的 AI 产品实现商业化,以支撑其持续扩大的数据中心和算力投资。
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中文
Alexandr Wang,Meta 首席 AI 官,在美国加利福尼亚州旧金山举行的 Bloomberg Tech 大会上,2026 年 6 月 4 日,星期四。
David Paul Morris | Bloomberg | Getty Images
_Meta 正在推出其首款名为 Muse Code 的编程 Agent,试图挑战领先的 AI 实验室 Anthropic 和 OpenAI。
Muse Code 是 AI 负责人 Alexandr Wang 推出的最新一项重大产品。Wang 领导 Meta Superintelligence Labs,并负责监督基础模型开发。他于去年 6 月加入 Meta,是 CEO Mark Zuckerberg 改造公司表现不佳的人工智能战略的核心人选。
“你只需一条命令就能安装它,然后便可以用它处理各种使用场景下完整的软件工程任务,包括规划改动、编写代码和验证结果,”Wang 周三在采访中表示。
这款新的编程 Agent 是 Zuckerberg 希望从 AI 业务中创造收入的又一种方式;与此同时,公司仍在大力投资数据中心及相关计算基础设施。Meta 此前发布较为疲软的营收预测,并披露第二季度自由现金流减少后,公司股价于上周下跌。
与 Anthropic 的 Claude 和 OpenAI 的 Codex 助手类似,这一新工具让用户能够在单一用户界面内更轻松地构建应用,同时管理由 AI 驱动的数字 Agent 集群,以支撑软件开发流程。
目前以预览版形式提供的 Muse Code,与该公司最新的 AI 模型 Muse Spark 1.2 协同运行。Wang 拒绝透露公司 Muse Spark AI 模型的用户统计数据,但表示“采用情况令人振奋且强劲”。
最新的 Muse Spark 模型与 Muse Code 一同开发和训练。Wang 表示,这提升了整体编程性能。
开发者可以通过按量付费方式使用 Muse Code。Wang 表示,该 Agent 提供“贡献者套餐,能够以显著更低的成本使用”,他将其描述为“即使相比按量付费套餐也便宜超过 10 倍”。Wang 表示,在最便宜的套餐下,开发者必须“选择加入以帮助改进模型”,这指的是 Meta 使用第三方数据来增强底层技术。
Wang 表示,与 Anthropic 和 OpenAI 的热门产品相比,Meta 正通过价格而非能力来区分其新 AI 编程工具及 Muse Spark 模型家族。
Muse Code 的底层是一个所谓的 harness(编排框架),它让开发者能够管理 AI 模型,并针对编程项目进行定制。
Wang 表示,用户将能够在托管该公司 Muse Spark AI 模型 API 的同一 Meta 开发者页面上访问并支付 Muse Code 的费用。Meta 较新的 AI 模型也将登陆 OpenRouter 平台,该平台托管了多种热门 AI 模型,包括 DeepSeek、Z.ai 等中国实验室的所谓开放权重 AI 模型。
Wang 表示,Meta“也已开始接受零数据保留请求”,这意味着公司不会保留开发者数据来改进模型。他说,这代表了“对用户而言很重要的一项大型企业功能”。Meta 98% 的收入来自在线广告;该公司通过基于用户数据定向消费者,在这一市场占据主导地位。
English / 原文
Alexandr Wang, chief AI officer of Meta, during the Bloomberg Tech conference in San Francisco, California, US, on Thursday, June 4, 2026.
David Paul Morris | Bloomberg | Getty Images
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_Meta is rolling out its first coding agent called Muse Code as the company tries to challenge leading AI labs Anthropic and OpenAI.
Muse Code is latest major release from AI chief Alexandr Wang, who leads Meta Superintelligence Labs and oversees foundation model development. Wang joined in June of last year as the centerpiece of CEO Mark Zuckerberg's effort to revamp his company's flailing artificial intelligence strategy.
"You can install it with one command and then use it to take on complete software engineering tasks across a wide variety of use cases, planning changes, writing code, validating the results," Wang said in an interview on Wednesday.
The new coding agent represents another way Zuckerberg aims to generate revenue from AI as his company continues investing heavily into data centers and related computing infrastructure. The company's shares tumbled last week after Meta issued a light revenue forecast and revealed dwindling free cash flow in the second quarter.
The new tool, like Anthropic's Claude and OpenAI's Codex assistants, makes it easier for people to build apps within a single user interface while managing fleets of AI-powered digital agents that can help underpin the software development process.
Muse Code, available in a preview version, works alongside the company's latest AI model, Muse Spark 1.2. Wang declined to share user statistics related to the company's Muse Spark AI models, but said "adoption has been exciting and strong."
The latest Muse Spark model was developed and trained alongside Muse Code, which Wang said improves the overall coding performance.
Developers can access Muse Code through a pay-as-you-go option. Wang said the agent has "a contributor tier that gets you in at a significantly lower cost," which he characterizes as being "more than 10 times cheaper than than even the pay-as-you-go tier**."** Under the cheapest tier, developers must "opt-in to help improve the model," Wang said, referring to Meta use of the third-party data to bolster the underlying technology.
Meta is differentiating its new AI coding tool and Muse Spark family of models by price rather than capabilities when compared to popular offerings from from Anthropic and OpenAI, Wang said.
Underpinning Muse Code is a so-called harness, which lets developers manage AI models, tailored for coding projects.
Wang said users will be able to access and pay for Muse Code on the same Meta developer page that hosts the company's Muse Spark AI model API. Meta's newer AI model will also be available on the OpenRouter platform that hosts popular AI models like the so-called open-weight AI models from Chinese labs like DeepSeek and Z.ai.
Wang said Meta is "also starting to accept requests for zero-data retention," meaning the company wouldn't retain developer data to improve models. He said it represents "a big enterprise feature that is important for folks." Meta gets 98% of its revenue from online ads, a market it dominates by targeting consumers based on user data.
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