How To Run Multiple Agents In Claude ?

The way we interact with AI coding assistants has just changed fundamentally. While working with AI coding tools on real projects, I kept running into the same limitation: a single assistant was expected to behave like an entire engineering team. Claude Code’s ability to run multiple specialized AI agents in parallel is the first feature I’ve used that actually removes this bottleneck.

Here’s how this changes the way AI fits into real development workflows.

The Bottleneck: The Problem with Single-Context AI

Traditional AI coding sessions often feel like a juggling act. I’ve experienced this firsthand when debugging issues, tuning performance, reviewing security concerns, and designing features inside a single conversation thread. This "Single-Context" approach creates distinct challenges:

• Context Overload: The AI struggles to maintain focus when it is forced to juggle multiple concerns at once.
• Sequential Bottlenecks: Tasks that should run in parallel are pushed into a linear workflow.
• Reduced Clarity: Constant switching between debugging, design, and review weakens reasoning quality.

The Solution: The /agents Command

This is where the /agents command changed things for me. Instead of forcing one assistant to handle everything, I can now create specialized agents with clear roles and isolated contexts.

Think of it as spinning up different members of a software team, each with their own deep expertise:

• Debugger Agents: Focus exclusively on identifying and fixing errors.
• Security Agents: Review code specifically for vulnerabilities.
• Frontend Agents: Specialize in UI/UX implementation.
• Backend Agents: Handle server-side logic and database operations.

How It Works Under the Hood

Each agent operates within its own isolated context, which I’ve found enables deeper reasoning and real parallel problem-solving without context leakage.

When you assign a project, like a refactor, Claude can automatically generate collaborative agents. For example, one handles the backend, another manages the frontend, and a third acts as a code reviewer.

Crucially, these agents communicate in real-time. They share a task list and coordinate work without requiring constant human intervention. They are even capable of intelligently handling merge conflicts if multiple agents modify the same codebase.

A Real-World Scenario

When I’m building something like an authentication feature, I no longer approach it sequentially. Instead, I orchestrate a parallel workflow.

1. Spin up a Backend Agent to implement the auth logic.
2. Launch a Security Agent to review that implementation for vulnerabilities.
3. Have a Frontend Agent build the login UI in parallel.
4. Deploy a Testing Agent to validate the full flow.

All four AI code editors work concurrently, dramatically reducing development time while maintaining high quality. Because the Security Agent isn't distracted by feature requests, it maintains an unwavering focus on vulnerabilities, producing more thoughtful results.

Quick Start Guide: Deploying Your Team

Ready to try it? Here is the step-by-step workflow.

1. Initialize the Interface

Open Claude Code and simply type the command:

/agents

2. Create Specialized Agents

In the interface, you can create new agents based on your needs (e.g., "frontend-ui-revamp" or "structured-logger").

• Configuration: You can select specific tools, configure memory (Project scope is common), and choose the model (e.g., Sonnet, Opus, or Haiku).
• Description: Be comprehensive. For example, instruct a frontend agent to use available design skills to make an extension look novel.

Similarly, I created another agent:

3. Run in Parallel

Once your agents are defined, assign a broad task, such as "Revamp the UI and logging in the extension".

Launch: Claude will launch relevant agents in parallel (e.g., one for UI, one for logging).

Monitor: You will see the agents running in the background. You can expand their views and manage them using shift+up arrow keys.

Completion: When finished, you receive a full summary of what was shipped, notifying you exactly when tasks like "Revamp extension UI/UX" are complete.

Conclusion

From what I’ve experienced, Claude Code has evolved beyond a helpful chatbot. It now behaves more like a coordinated engineering team, capable of tackling complex, multi-faceted work without the friction of single-context AI.