Managing AI Subagents in Cursor and Claude Code

AI-assisted development is evolving beyond simple chat prompts into autonomous subagents that write, test, and refactor code independently. However, managing multiple agents simultaneously without creating code conflicts or breaking your main branch requires a structured, professional setup. This text-only course provides a clear roadmap to configuring a highly efficient environment for AI-driven development. By studying this guide, you will learn how to coordinate Cursor and Claude Code subagents, isolate their workspaces, and safely scale your coding output. You will transition from manual AI prompting to managing a team of digital assistants working in parallel. What you'll learn: 1. Understand the core architecture and capabilities of AI agents and subagents. 2. Configure Cursor and Claude Code to execute complex coding tasks autonomously. 3. Implement Git worktrees to run multiple subagents on separate branches simultaneously. 4. Manage prompt context and token limits to keep subagents focused and cost-effective. 5. Establish robust boundaries and safety checks for agent-generated code. 6. Review, test, and merge subagent contributions back into your main codebase. Starting with foundational definitions of agentic workflows, you will read through step-by-step setup instructions, environment configurations, and practical strategies for managing parallel code branches. This course is designed for developers looking to modernize their workflow, requiring only basic command-line and version control knowledge. Begin mastering autonomous AI coordination and accelerate your development cycle today.