TechCrunch AI's coverage highlights Meta's push into enterprise AI tools, but the announcement feels like a catch-up play in a market where developer habits are already forming around other agents. The core challenge for Muse Code, in our view, may not be raw capability but integration and trust. Handling large repos with parallel sub-agents is a compelling technical claim, but the real test will be whether it can reliably navigate the unique, often messy, architecture of a company's legacy codebase without introducing subtle bugs. Its success will likely hinge less on cost and more on whether it can understand context as well as it executes tasks.