Company in a Box – 42 AI agents to run a software house (github.com)

A new initiative has been announced that leverages 42 specialized AI agents to efficiently manage a software house’s operations, each designed for a distinct role with explicit inputs, outputs, and boundaries. This structured approach ensures that work can scale fluidly—if demand increases, additional agents can be created, and repetitive tasks can be encapsulated into playbooks. The AI agents cover essential functions such as client management, design, engineering, legal, marketing, and project management, each focused on producing clear, verifiable outcomes without overlap or chaos. This framework is significant for the AI/ML community as it exemplifies a shift from general-purpose AI assistants to highly organized, structured agent systems that enhance productivity and clarity in software development. By defining strict boundaries and roles, the model reduces miscommunication and streamlines processes, enabling more efficient onboarding, clearer job descriptions, and easier identification of organizational gaps. The documentation-as-code approach ensures that workflows remain transparent and adaptable, fostering a disciplined method of integrating AI into business operations while emphasizing collaboration and accountability across specialized roles.