Subagent Swarm Refactors Massive Codebase in Under a Day

In a recent demonstration, Nous Research used a network of nearly 1,400 autonomous digital helpers to overhaul a software project containing a million lines of code. The team organized these automated workers to run concurrently, finishing the massive overhaul in nineteen active hours. The operation required about twenty-five thousand dollars in computing resources.

This experiment illustrates a shift in how complex technology tasks might be handled in the near future. Reorganizing massive codebases typically takes teams of human developers months of repetitive labor. Splitting big projects across large groups of artificial intelligence programs could drastically accelerate routine software updates and reduce overall development cycles.

Despite the speed, the process was not entirely hands-off. Human software engineers still had to step in to locate and repair mistakes that the AI tools introduced during the work. It remains an open question whether spending thousands on compute for rapid AI rewrites saves money if human developers must still spend substantial time reviewing the output.