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
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.”
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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