This paper introduces "Swarms," a novel hierarchical artificial intelligence framework integrated into Claude Code, designed to operate as a "team lead" rather than a singular AI coder. The core methodology involves a multi-agent system orchestrated by a high-level AI.

The process initiates with a user interacting with the "team lead" AI, which is responsible for strategic planning, task decomposition, and overall project management. This "team lead" AI does not directly write code; instead, its primary functions are planning, delegation, and synthesis of results.

Upon user approval of the initial plan, the system transitions into a "delegation mode." In this mode, the "team lead" AI autonomously delegates specific sub-tasks to specialized, lower-level AI agents. As depicted, these agents might include:

• agent-planner: Responsible for refining or detailing the overall plan into actionable sub-tasks.
• agent-frontend: Focused on developing user interface components or client-side logic.
• agent-backend: Dedicated to server-side logic, database interactions, and API development.
• agent-tester: Tasked with verifying the correctness, functionality, and performance of the developed components.

Each specialized agent operates on its assigned task. After the delegated tasks are completed by their respective agents, the "team lead" AI enters a synthesis phase. In this phase, it aggregates and integrates the outputs from all the specialized agents, ensuring coherence, resolving potential conflicts, and assembling the final solution. This hierarchical delegation and synthesis model aims to leverage specialized AI capabilities for complex software development projects, providing a more structured and potentially more efficient approach than a monolithic AI system. The human user maintains oversight through plan approval, allowing for critical intervention at the strategic level before execution commences.