Meta AI has released Muse Code (in beta), a terminal coding agent in beta, powered by its new Muse Spark 1.2 model. Meta positions the pair as its next step toward the frontier, with larger models on the way. Muse Code targets complex software engineering across large repositories: it plans changes, writes code, and validates the results. A set of async background agents stays alive for the whole session instead of spawning per task. A local append-only event log records every model call, tool run, approval, and edit, which Meta calls replay-exact and restart-safe. Muse Spark 1.2 was co-trained with the harness itself. Meta also published a kernel-optimization case study running 1,000+ tool calls over as long as 24 hours.
Is it deployable
Yes. Muse Code ships in beta for macOS and Linux via curl -fsSL https://dev.meta.ai/install.sh | bash. Muse Spark 1.2 is available in Muse Code and the Meta Model API, with expanded global access. The launch post does not mention downloadable weights, so treat this as a hosted dependency.
Company level: The API path fits any size. The Muse Code path fits teams already running agents in sandboxes with review gates.
Industries: Software and SaaS, developer tooling, fintech engineering, GPU and inference infrastructure, semiconductors and HPC.
