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Claude Code & Gemini CLI Collaboration Experiment Guide

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What You Can Achieve

  • Multi-Agent Development

    Build collaborative development environments leveraging strengths of different AI models

  • Parallel Processing Efficiency

    Achieve up to 90% improvement in development speed through parallel AI task execution

  • Comparative Analysis & Optimization

    Compare and validate different approaches to solutions

  • Innovative Workflows

    Next-generation development methods beyond single-AI dependency

📖 Overview

Claude Code and Gemini CLI are cutting-edge AI coding assistance tools developed by Anthropic and Google respectively. As of 2025, multi-agent development combining these tools is gaining attention as a new trend.

Why Multi-Agent Development?

Research shows that multi-agent systems achieve 90.2% performance improvement compared to single agents. This is because they can leverage different model strengths and efficiently decompose and execute complex tasks through parallel processing.

🔧 Basic Setup

Claude Code Installation

# Install Claude Code (macOS/Linux)
curl -fsSL https://claude.ai/install.sh | sh

# Authentication setup
claude auth login

Gemini CLI Installation

# Install Gemini CLI
npm install -g @google/gemini-cli

# Or direct download
curl -fsSL https://cli.gemini.google.com/install | sh

# Authentication setup
gemini auth login

Collaboration Environment Setup

# Create working directory
mkdir ai-collaboration-lab
cd ai-collaboration-lab

# Create configuration files
touch CLAUDE.md
touch GEMINI.md

🧪 Experiment Scenarios

Experiment 1: Comparative Execution of Same Task

Compare and analyze execution results of the same task by different AIs.

Configuration

# Claude Code configuration
echo "## Task: Create React Todo App
- Use TypeScript
- Include tests
- Responsive design" > CLAUDE.md

# Gemini CLI configuration  
echo "## Task: Create React Todo App
- Use TypeScript
- Include tests
- Responsive design" > GEMINI.md

Execution

# Execute with Claude Code
claude "Create a React Todo app following the specifications in CLAUDE.md"

# Execute with Gemini CLI in separate terminal
gemini "Create a React Todo app following the specifications in GEMINI.md"

Experiment 2: Collaborative Development with Role Division

Assign different roles to each AI for collaborative work.

Role Configuration

# CLAUDE.md
## Role: Backend Development
- API design & implementation
- Database design
- Security implementation

# GEMINI.md
## Role: Frontend Development
- UI/UX design
- Component implementation
- Responsive support

Collaborative Execution

# Phase 1: Backend (Claude Code)
claude "Design and implement Node.js + Express API server"

# Phase 2: Frontend (Gemini CLI)
gemini "Create React frontend corresponding to the API created by Claude Code"

# Phase 3: Integration (Both)
claude "Implement integration tests with frontend"
gemini "Optimize backend API integration"

Experiment 3: Review and Improvement Cycle

Cyclical process where one AI reviews and improves code created by the other.

# Step 1: Initial implementation by Claude Code
claude "Implement product search functionality for e-commerce site"

# Step 2: Review by Gemini CLI
gemini "Review the code created by Claude Code and provide improvement suggestions"

# Step 3: Improvement implementation by Claude Code
claude "Improve the code based on Gemini CLI's suggestions"

# Step 4: Final check
gemini "Perform final verification and performance testing of improved code"

🚀 Advanced Use Cases

1. Real-time Collaborative Development

Parallel development environment using Claude Squad tool:

# Install Claude Squad
npm install -g claude-squad

# Start multiple agents simultaneously
claude-squad start --agents claude,gemini --workspace /project

Configuration Example

# squad-config.yml
agents:
  claude:
    role: "backend-developer"
    focus: ["api", "database", "security"]
  gemini: 
    role: "frontend-developer"
    focus: ["ui", "ux", "responsive"]
collaboration:
  sync_interval: 5m
  review_cycle: 30m

2. Specialized Domain Teams

# Security-focused team
claude "Execute security audit and penetration testing"
gemini "Implement frontend security (XSS, CSRF protection)"

# Performance optimization team
claude "Optimize database queries and server performance"
gemini "Optimize frontend bundle size and rendering speed"

3. Multi-stage Quality Assurance

# 4-stage QA process
claude "Feature implementation"  gemini "Code review"  claude "Test implementation"  gemini "Integration testing"

📊 Performance Comparison

Speed Comparison

Comparison results from actual development tasks:

TaskClaude CodeGemini CLICollaborative
React App Creation1h17m2h5m58m
API Implementation45m1h12m35m
Test Creation25m32m18m

Cost Comparison

MethodToken UsageEstimated CostEffectiveness
Claude Code SoloStandard$4.80High Quality
Gemini CLI Solo1.2x$7.06Open Source
Collaborative2.1x$8.90Highest Quality

Quality Metrics

- Code Quality: Collaborative > Claude > Gemini
- Execution Speed: Collaborative > Claude > Gemini  
- Creativity: Gemini > Collaborative > Claude
- Stability: Claude > Collaborative > Gemini

💡 Best Practices

1. Appropriate Role Division

## Claude Code Strengths
- Complex logic implementation
- Error handling
- Security implementation
- Test creation

## Gemini CLI Strengths
- UI/UX design
- Creative solutions
- Multimedia support
- Documentation generation

2. Effective Communication

# Create shared context file
echo "## Project Status
- Current Phase: ${PHASE}
- Completed Tasks: ${COMPLETED_TASKS}
- Next Steps: ${NEXT_STEPS}" > shared-context.md

# Provide same context to both AIs
claude "Continue work referring to shared-context.md"
gemini "Proceed with development based on information in shared-context.md"

3. Continuous Feedback

# Regular synchronization script
#!/bin/bash
echo "=== AI Collaboration Status ===" 
claude "Please report current progress"
gemini "Please share work status and next steps"
echo "==============================="

🔄 Collaborative Workflow Design

Pattern 1: Parallel Development Mode

graph LR
    A[Requirements] --> B[Claude: API Design]
    A --> C[Gemini: UI Design]
    B --> D[Integration Test]
    C --> D
    D --> E[Deploy]

Pattern 2: Review Cycle Mode

graph LR
    A[Claude: Implementation] --> B[Gemini: Review]
    B --> C[Claude: Improvement]
    C --> D[Gemini: Final Check]
    D --> E[Release]

Pattern 3: Specialization Mode

# Infrastructure: Claude Code
claude "Set up Docker environment and CI/CD pipeline"

# Frontend: Gemini CLI  
gemini "Build modern React application architecture"

# Backend: Collaborative
claude "Design API specification" && gemini "Generate OpenAPI documentation"

🚨 Considerations and Troubleshooting

Common Issues

1. Context Inconsistency

# Solution: Use shared state file
echo "Latest development status" > shared-state.json
claude "Please update shared-state.json"
gemini "Please refer to shared-state.json"

2. Duplicate Work

# Solution: Task management file
echo "Claude: Backend API
Gemini: Frontend Components
Shared: Integration Tests" > task-assignments.md

3. Quality Standard Unification

# Solution: Common configuration file
echo "ESLint + Prettier configuration
TypeScript strict mode
Test coverage 80%+" > quality-standards.md

Essential Tools

  • Claude Squad: Multi-agent management
  • Gemini Code Flow: Workflow management for Gemini CLI
  • MCP (Model Context Protocol): Inter-agent communication