Aider

AI pair programming in your terminal. Command-line AI coding assistant that works with your editor to collaboratively edit code in your local git repository.

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

  1. Start Small: Begin with simple changes and build complexity
  2. Provide Context: Include relevant files and clear requirements
  3. Use Git: Leverage automatic commits for change tracking
  4. 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.

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