Gemini CLI Best Practices
Learn how to effectively use Gemini CLI in real projects with best practices and professional tips
Gemini CLI Best Practices
This tutorial will guide you through effective usage of Gemini CLI in real development scenarios, including workflow optimization, common problem solutions, and professional tips.
Workflow Optimization
1. Optimal Project Initialization Flow
Recommended project startup process:
# 1. Create project directory
mkdir my-awesome-project
cd my-awesome-project
# 2. Initialize Git repository (recommended before Gemini CLI init)
git init
# 3. Create basic .gitignore
echo "node_modules/" > .gitignore
echo ".env" >> .gitignore
# 4. Initialize Gemini CLI
gemini
Why this approach?
- Early Git initialization helps Gemini CLI better understand project structure
- Pre-configured .gitignore prevents unnecessary file tracking
- Clear project structure helps AI provide more accurate suggestions
2. Writing High-Quality GEMINI.md
GEMINI.md is your project's "manual" - writing it well is crucial:
# Project Name
## Project Overview
- **Goal**: Build a modern React application
- **Tech Stack**: React 18, TypeScript, Vite
- **Target Users**: Enterprise users
## Development Standards
- Use TypeScript strict mode
- Follow Airbnb ESLint rules
- Component file names use PascalCase
- Utility functions go in /src/utils directory
## API Conventions
- All API requests use /api/v1 prefix
- Error handling uses try-catch consistently
- Response format: { success: boolean, data: any, message: string }
Practical Tips
1. Effective Context Management
# View current context
/memory show
# Add important files to context
/add src/types/api.ts
/add docs/architecture.md
# Clear irrelevant context
/clear
2. Leverage Tools and Plugins
# View available tools
/tools
# Manage MCP servers
/mcp list
/mcp add database-helper
3. Batch Processing and Automation
# Generate multiple components
gemini "Generate UserList, UserForm, UserDetail components for user management module"
# Automated test generation
gemini "Generate comprehensive unit tests for src/utils/validation.ts"
Common Issues and Solutions
Issue 1: AI Responses Not Precise Enough
Cause: Insufficient context or unclear descriptions
Solutions:
- Complete the GEMINI.md file
- Provide specific requirement descriptions
- Include relevant code examples
# ā Vague request
gemini "help me write a component"
# ā
Clear request
gemini "Create a user info card component that receives user object as props, displays avatar, name, email and status, using TypeScript and Tailwind CSS"
Issue 2: Generated Code Style Inconsistency
Solution: Specify coding standards in GEMINI.md
## Coding Standards
- Use functional components and hooks
- Props interfaces end with Props, e.g., UserCardProps
- File exports use export default
- Styling uses Tailwind CSS classes
Issue 3: Slow Response When Handling Large Projects
Solutions:
- Use .geminiignore to exclude unnecessary files
- Manage context reasonably, include only relevant files
- Break complex tasks into smaller tasks
Team Collaboration Best Practices
1. Standardize GEMINI.md Format
Team members should unify GEMINI.md format and content:
# Required Sections
- Project Overview
- Tech Stack
- Development Standards
- API Conventions
- Deployment Process
2. Version Control Integration
# Check code before committing
gemini "Check if this commit's code follows project standards"
# Generate commit messages
gemini "Generate appropriate git commit message based on code changes"
3. Code Review Assistant
# Review code changes
gemini "Review this PR's code changes, focus on security and performance"
# Generate testing suggestions
gemini "Suggest what test cases should be added for this new feature"
Performance Optimization Tips
1. Reduce Unnecessary File Scanning
Create appropriate .geminiignore file:
# Dependency directories
node_modules/
dist/
build/
# Log files
*.log
logs/
# Cache files
.cache/
.temp/
# Large resource files
*.mp4
*.mkv
*.zip
2. Smart Cache Usage
# Check cache status
gemini status
# Clear cache (if issues occur)
gemini cache clear
Summary
Mastering these best practices can significantly improve your Gemini CLI efficiency:
- Preparation matters: Good project structure and clear GEMINI.md
- Precise requirement descriptions: More specific requests yield more accurate results
- Reasonable context management: Include only relevant information, avoid information overload
- Leverage tool ecosystem: Make full use of MCP and extension features
- Team collaboration standards: Unified workflows and standards
Continue exploring and practicing - you'll discover more possibilities with Gemini CLI in different scenarios!