Build Your Own AI Development Team with Claude Code Sub-Agents
Course Description
Master Claude Code Sub-Agents: Build a Full AI Development Team
Claude Code has long been powerful thanks to custom commands, allowing developers to turn it into a programmable AI agent. But a new feature has fundamentally changed the game: Sub-Agents.
In this course, you’ll learn how to create specialized AI sub-agents inside Claude Code — effectively building a full development team where each agent has a focused role, its own context, and controlled tools.
Instead of relying on fragile prompt chains or overloaded context windows, you’ll design clean, scalable workflows where each agent works independently and reports back efficiently.
What You’ll Learn
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Why sub-agents are a major evolution beyond custom commands
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How Claude Code sub-agents differ from traditional prompt-based workflows
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How to create specialized AI roles (UI, developer, QA, PM, etc.)
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How isolated context windows dramatically improve reliability and quality
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How to control tool access for better performance and security
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How to chain sub-agents into powerful automated workflows
Core Concepts Covered
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Custom Commands vs Sub-Agents
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Limitations of traditional custom command frameworks
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Context pollution and performance issues
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Why sub-agents outperform command-based orchestration
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Sub-Agent Architecture
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Independent context windows
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Task isolation and focused reasoning
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Clean handoff via concise task summaries
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Agent Specialization
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UI / UX experts
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Developers
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QA testers
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Project and Scrum managers
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Why narrower specialization leads to better results
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Creating and Managing Sub-Agents
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Using the new
/agentsslash command -
Creating project-level vs personal agents
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Auto-generating agents with Claude vs manual configuration
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Writing effective agent descriptions that Claude can recognize and trigger
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Naming, coloring, and organizing agents inside projects
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Understanding the agent configuration markdown files
Tool Control & Security
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Selecting only the tools an agent actually needs
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Why limiting tools improves focus, performance, and safety
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Disabling unnecessary tools like web search when not required
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Granting MCP access only when appropriate
Practical UI Agent Workflow (Hands-On)
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Building a dedicated ShadCN UI sub-agent
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Enforcing strict MCP usage rules for UI generation
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Planning, implementation, and documentation stages
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Generating reusable UI structures and layouts
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Connecting navigation, pages, and components correctly
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Ensuring clean, bug-free UI architecture
Context Isolation in Action
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How sub-agents run with empty context windows
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Why this produces superior UI and code quality
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Real token usage examples (30K–70K tokens without polluting main context)
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How agents return concise execution summaries
Styling & Theming with AI
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Using tweak.cn to generate shadcn themes from reference designs
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Extracting color palettes from real landing pages
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Applying themes seamlessly through sub-agents
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Refining UI for dark mode and visual consistency
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Iterative design improvements without breaking structure
Advanced Workflows & Automation
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Automatic agent selection by Claude Code
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When and how to manually invoke specific sub-agents
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Writing effective agent purpose descriptions
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Chaining sub-agents together for multi-step workflows
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Combining sub-agents with custom slash commands
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Example: analyzer → optimizer → QA agent pipelines
Key Benefits of Sub-Agents
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Cleaner context management
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Higher-quality outputs
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Reusable specialized agents
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Predictable and repeatable workflows
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Scalable AI development systems
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Reduced bugs and structural errors
Who This Course Is For
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Developers using Claude Code or Cursor
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AI power users building complex workflows
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Frontend engineers working with shadcn-ui
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Indie hackers and founders
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Anyone who wants production-grade AI automation, not demos
Minasaty AI
E learning Plateforme Organization
4.5Instructor Rating