Aider
Efficient terminal AI pair programming with multi-LLM and local model support
- Pricing:
- Free
Overview
Aider is an AI pair programming tool that runs in the terminal and works with a variety of large language models (such as Claude 3.7 Sonnet, DeepSeek, OpenAI o1, etc.) to help you quickly start new projects or develop on existing codebases. By automatically mapping your entire codebase, it gives AI a deep understanding of project structure, enabling accurate code suggestions and modifications even in large projects.
Aider supports over 100 programming languages, including Python, JavaScript, Rust, Go, and more, and seamlessly integrates with Git. After each modification, it automatically generates meaningful commit messages, making it easy to review, manage, and revert AI changes using familiar Git tools. It also provides static code analysis and automated test fixing to ensure code quality.
You can use Aider directly in mainstream IDEs by making requests through comments, and add visual context like images and web pages to help AI understand. It also supports voice input, turning natural language into code implementation. Whether you are an individual developer or a team, Aider can significantly boost coding efficiency.
Core capabilities
- Multi-model support
- Connect Claude, DeepSeek, OpenAI, and local models for flexible choice
- Codebase mapping
- Automatically generate a global code map for precise handling of large projects
- Multi-language compatibility
- Support 100+ programming languages, covering full-stack development needs
- Git auto-integration
- Automatically commit every change, making modifications traceable and revertible
- Inline IDE usage
- Trigger AI edits via comments directly in your editor for seamless integration
- Visual context
- Add images and web pages to aid understanding with screenshots, documents, and more
- Voice-to-code
- Speak your requirements and let AI implement features or fix bugs automatically
- Automated checking and testing
- Run linters and tests automatically after changes, smartly fixing issues
Use cases
- Quickly scaffold a new project and write core logic
- Fix bugs in an existing codebase and automatically generate test cases
- Refactor legacy code to improve readability and performance
- Generate corresponding HTML/CSS code from UI design mockups
- Turn natural language requirements into complete API endpoint implementations
- Quickly generate and apply modification suggestions during code review
- Learn new languages with AI-assisted example code writing
- Automate the writing of documentation comments and type annotations
Who it's for
Full-stack developers, AI enthusiasts, Open-source contributors, Technical teams, Independent developers, Software engineers, Backend developers, Frontend developers
Getting started
- 1Install — Run pip install aider-install and execute the aider-install command
- 2Configure model — Set your API key for the chosen LLM, e.g., aider --model sonnet --api-key anthropic=
- 3Enter project — cd into your code directory and ensure a Git repository is initialized
- 4Start coding — Run aider in the terminal, describe requirements in natural language, and AI will generate and apply changes
- 5Review changes — Use git diff or git log to inspect auto-committed changes, and revert if necessary
Traffic analytics
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