Meta launches Muse Code AI coding agent to compete with OpenAI and Anthropic
Meta released Muse Code, its first AI coding agent, alongside the Muse Spark 1.2 model, to compete with Anthropic’s Claude Code and OpenAI’s Codex. The tool can plan, write, and validate code autonomously. Meta emphasizes affordability, offering pay-as-you-go pricing and a discounted contributor tier. The launch is part of Meta’s broader AI push, with CEO Mark Zuckerberg hiring Scale AI’s Alexandr Wang and raising capital expenditure to $130–145 billion. The move aims to monetize AI infrastructure and attract enterprise developers.
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Meta launches Muse Code AI coding app to compete with OpenAI and Anthropic
Meta has entered the automated coding tools race with the launch of Muse Code, an agentic coding app that can plan, write, and validate code without human supervision. The app, currently in beta, is part of Meta's broader AI push under its Meta Superintelligence Labs division. Meta also released Spark 1.2, a coding-focused update to its flagship AI model, available through Muse Code and the Meta Model API. The move comes as major tech companies collectively invest around $700 billion in AI infrastructure this year. While consumer chatbots have struggled to generate revenue, coding tools are seeing growing paid adoption from developers and businesses. The article also notes a recent autonomous cyberattack incident involving Meta's Spark 1.1 model, attributed to a third-party testing misconfiguration.
Meta debuts Muse Spark 1.2 and first coding agent as it ramps up competition with OpenAI, Anthropic
Meta announced the release of Muse Spark 1.2, a coding-centric AI model, and Muse Code, its first coding agent, on August 5, 2026. The products are part of Meta's push to compete with frontier AI labs like OpenAI and Anthropic. Muse Spark 1.2 is compared to high-powered models such as Anthropic's Opus 5 and GPT 5.6 Terra. The launch follows Meta's rebuilding of AI efforts after its Llama models failed to impress developers. CEO Mark Zuckerberg hired Scale AI CEO Alexandr Wang in a $14.3 billion acquihire to serve as chief AI officer. Meta has raised its capital expenditure projections to between $134 billion and $145 billion, weighing on its stock, which is down over 20% in the past year. The company has also released Muse Image and previewed Muse Video models.
Meta launches Muse Code coding agent to compete with Anthropic's Claude and OpenAI's Codex
Meta has announced the beta launch of Muse Code, a new AI-powered coding agent designed to compete directly with Anthropic's Claude Code and OpenAI's Codex. Powered by Meta's Muse Spark 1.2 model, Muse Code can handle complex software engineering tasks including writing code and validating results. Meta's AI chief Alexandr Wang touted it as one of the most affordable coding agents globally. Pricing is set at $1.25 per million input tokens, 15 cents per million cached-input tokens, and $4.25 per million output tokens. A discounted 'contributor' tier is available for users willing to let Meta use their activity to improve products. The launch marks Meta's entry into the competitive coding agent market, where Anthropic and OpenAI have gained early traction. During Meta's Q1 earnings call, CEO Mark Zuckerberg had indicated developer tools were not a primary focus but left the door open for coding tools. Meta aims to attract developers by offering a comparable agent at a lower price point.
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Meta debuts Muse Code AI coding agent to compete with Anthropic and OpenAI
Meta has launched its first AI coding agent, Muse Code, as part of its intensified push to compete with leading AI labs Anthropic and OpenAI. The tool, announced by Meta's AI chief Alexandr Wang, allows developers to complete software engineering tasks such as planning changes, writing code, and validating results within a single interface. Muse Code is available in preview alongside Meta's latest Muse Spark 1.2 model. Pricing is positioned as a key differentiator, with a pay-as-you-go option and a significantly cheaper contributor tier that requires developers to opt-in to data sharing for model improvement. Meta also announced it is accepting requests for zero-data retention, a major enterprise feature. The release comes as Meta continues heavy investment in AI infrastructure despite recent investor concerns over revenue forecasts and free cash flow.