Meta launches Muse Code, an AI agent for large code bases
Meta expanded its AI coding offerings with a new agent that, it promises, can handle complex tasks with complex software. launches Muse Code, an AI agent for large code bases 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.
Key Takeaways
- 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.
- "Your working copy is never touched.
In testing we had it build six features for a game simultaneously with no collisions.
- "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.
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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.
For more details please read the original article at TechCrunch AI.
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