Aider
Aider is AI pair programming in your terminal. It's a command-line tool that lets you pair program with LLMs to start new projects or build on existing codebases, providing a collaborative coding experience directly from your terminal.
Core Features
Feature |
Description |
Terminal-Native |
Works directly in your command line without IDE dependencies |
Git Integration |
Automatic commits with sensible commit messages |
Multi-Language |
Supports 100+ programming languages |
LLM Flexibility |
Works with cloud and local models |
Repository Mapping |
Creates intelligent maps of your entire codebase |
Key Capabilities
Intelligent Code Understanding
- Repository Mapping: Creates comprehensive maps of codebases for better context
- Multi-File Editing: Understands relationships between files and modules
- Language Agnostic: Works with Python, JavaScript, Rust, Go, C++, and 100+ languages
- Context Awareness: Maintains understanding of project structure and dependencies
Git Integration
- Automatic Commits: Every change is automatically committed with descriptive messages
- Change Tracking: Easy to diff, manage, and undo AI-generated changes
- Branch Management: Works seamlessly with existing git workflows
- History Preservation: Full audit trail of all AI-assisted modifications
Model Support
Provider |
Models |
Performance |
Anthropic |
Claude 3.7 Sonnet |
Best overall performance |
DeepSeek |
R1, Chat V3 |
Excellent cost/performance ratio |
OpenAI |
o1, o3-mini, GPT-4o |
Strong reasoning capabilities |
Local Models |
LM Studio, Ollama |
Privacy-focused, no API costs |
Multiple Providers |
100+ models supported |
Flexible model selection |
Installation & Setup
Quick Start
# Install aider
python -m pip install aider-install
aider-install
# Navigate to your project
cd /to/your/project
# Start with DeepSeek (recommended)
aider --model deepseek --api-key deepseek=<your-key>
# Or use Claude 3.7 Sonnet
aider --model sonnet --api-key anthropic=<your-key>
# Or use OpenAI o3-mini
aider --model o3-mini --api-key openai=<your-key>
Configuration Options
- API Keys: Support for multiple provider API keys
- Model Selection: Easy switching between different LLMs
- Repository Settings: Configure which files to include/exclude
- Git Configuration: Customize commit message formats
Advanced Features
IDE Integration
- Watch Mode: Monitor file changes and respond to comments in code
- Editor Agnostic: Works with any editor that can save files
- Live Collaboration: Real-time file watching and updates
- Comment-Driven: Add comments to request changes, aider implements them
Media & Context Support
- Image Support: Add images and screenshots for visual context
- Web Pages: Include web pages and documentation as context
- Voice Input: Speak requests using voice-to-code functionality
- URL Processing: Fetch and process web content for reference
Quality Assurance
- Automatic Linting: Runs linters after each change
- Test Integration: Executes tests and fixes failures automatically
- Error Handling: Detects and resolves compilation errors
- Code Validation: Ensures changes don't break existing functionality
Workflow Examples
Starting New Projects
# Create new directory and initialize
mkdir my-new-app
cd my-new-app
git init
# Start aider and begin development
aider
> Create a FastAPI web application with user authentication
Working with Existing Code
# Navigate to existing project
cd existing-project
# Start aider with specific files
aider app.py models.py
# Request changes
> Add error handling to the database connection logic
> Implement caching for the user profile endpoint
Testing and Bug Fixes
# Run aider with test files
aider src/ tests/
# Request comprehensive testing
> Add unit tests for all API endpoints
> Fix the failing test in test_authentication.py
Use Cases
Development Workflows
- Feature Development: Implement new features with AI assistance
- Bug Fixing: Diagnose and fix issues with intelligent analysis
- Refactoring: Modernize and improve existing code structure
- Documentation: Generate comprehensive code documentation
Learning and Exploration
- Code Review: Get explanations of complex code sections
- Best Practices: Learn modern development patterns and techniques
- New Technologies: Explore unfamiliar frameworks and libraries
- Debugging: Understand and resolve complex errors
Team Collaboration
- Code Consistency: Maintain style and patterns across projects
- Knowledge Transfer: Share expertise through AI-assisted development
- Onboarding: Help new team members understand existing codebases
- Standards Enforcement: Apply coding standards consistently
Performance Metrics
Usage Statistics
- GitHub Stars: 35,000+ stars
- Installations: 2.7M+ downloads
- Token Usage: 15B tokens processed weekly
- OpenRouter Ranking: Top 20 most used model
- Community: Active Discord and GitHub communities
Model Performance
Model |
Speed |
Quality |
Cost |
Best For |
Claude 3.7 Sonnet |
Fast |
Excellent |
Medium |
Complex reasoning |
DeepSeek R1 |
Very Fast |
Excellent |
Low |
Cost-effective development |
GPT-4o |
Fast |
Very Good |
Medium |
General purpose |
Local Models |
Variable |
Good |
Free |
Privacy-sensitive projects |
Copy/Paste Mode
For users without API access, aider provides a streamlined copy/paste workflow:
# Generate prompts for web chat interfaces
aider --copy-paste
# Aider prepares context and instructions
# Copy to web chat (ChatGPT, Claude, etc.)
# Paste responses back to aider
# Changes applied automatically
Best Practices
Effective Usage
- Start Small: Begin with simple changes and build complexity
- Provide Context: Include relevant files and clear requirements
- Use Git: Leverage automatic commits for change tracking
- Test Frequently: Run tests after each significant change
Project Organization
- Clear Structure: Maintain well-organized project directories
- Documentation: Keep README and docs updated
- Testing: Include comprehensive test suites
- Dependencies: Use clear dependency management
Cost Management
- Model Selection: Choose appropriate models for task complexity
- Local Options: Use local models for privacy and cost savings
- Efficient Prompting: Write clear, specific requests
- Progress Tracking: Monitor token usage and API costs
Community Feedback
User Testimonials
- funkytaco: "This project is stellar."
- Starry Hope: "Aider has been revolutionary for me and my work."
- Matthew Berman: "The best AI coding assistant so far."
- koleok: "Been using aider as my daily driver for over a year ... I absolutely love the tool, like beyond words."
Key Benefits
- Terminal Native: Perfect for command-line focused developers
- Git Integration: Seamless version control workflow
- Model Flexibility: Not locked into single AI provider
- Privacy Options: Local model support for sensitive projects
Comparison with Alternatives
Feature |
Aider |
Cline |
Cursor |
GitHub Copilot |
Interface |
Terminal |
VS Code |
Full IDE |
Multi-IDE |
Git Integration |
Automatic |
Manual |
Standard |
Standard |
Model Choice |
Extensive |
Good |
Limited |
Limited |
Local Models |
Yes |
Yes |
No |
No |
Cost Model |
Pay-per-use |
Pay-per-use |
Subscription |
Subscription |
Setup |
Simple |
Complex |
Simple |
Simple |
Advanced Configuration
Model Configuration
# Use specific models
aider --model claude-3-opus
aider --model gpt-4-turbo
aider --model deepseek-coder
# Local model setup
aider --model ollama/codellama
aider --model lmstudio/local-model
Repository Settings
# Include specific files
aider src/*.py tests/*.py
# Exclude directories
aider --exclude node_modules/ build/
# Add files dynamically
/add new_file.py
/drop old_file.py
Aider represents the command-line evolution of AI pair programming, offering developers a powerful, flexible, and git-integrated approach to AI-assisted development that works with any editor and respects existing workflows.