Meta launched Muse Code, an AI agent for large code bases

Meta released Muse Code, an AI agent for working with large code bases. It differs from familiar autocomplete assistants in focus: Muse Code is built for millions of lines of interconnected code, where the main difficulty is not writing a new function but understanding what breaks in neighboring modules when you add it. The agent builds a dependency map of the project and makes changes with that map in view.

Meta's entry into this segment is telling: the AI-for-development market is shifting from "write a snippet" to "maintain a system." Logically so: by industry estimates, up to eighty percent of software's cost is its maintenance, not its creation. Whoever teaches an agent to work safely with legacy will take the biggest slice of enterprise development.

For Kazakhstani companies with systems of their own — banks, retail, logistics, the public sector — the news is practical. The most expensive and scarce specialists are those who remember how the fifteen-year-old accounting system works. Agents of Muse Code's class are starting to remove that risk: the map of legacy code can now live in a machine's head rather than in one irreplaceable employee's. A pilot on one non-critical module is a sensible way to find out what such insurance costs for you.