Aider is an open-source AI pair programming tool that runs in your terminal. It allows developers to interact with large language models (LLMs) to write, modify, and debug code within their existing codebases, integrating seamlessly with Git.

How much does Aider cost?

Aider is completely free and open source. However, it connects to various third-party LLMs, many of which require API keys and may incur usage-based costs from the respective model providers (e.g., OpenAI, Anthropic).

Aider can help you start new projects, build on existing code, fix bugs, refactor code, and even update documentation. It supports over 100 programming languages, integrates with Git, and can take images and web pages as context for coding tasks.

Is Aider open source?

Yes, Aider is an open-source project with its code available on GitHub under the Apache-2.0 license. This allows for community contributions and transparency in its development.

Does Aider have an API or SDK?

While Aider itself is a CLI tool, it can be scripted via the command line or Python, effectively providing an SDK-like capability for programmatic interaction and automation of coding tasks.

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Quick Answer

Aider is an open-source AI pair programming tool that operates in your terminal, enabling developers to collaborate with LLMs to write, debug, and refactor code. It integrates with Git, supports over 100 languages, and connects to various LLMs. Best for developers looking to enhance their coding workflow with AI assistance. Free and open source, but requires API keys for most LLMs.

About Aider

Aider is an open-source AI pair programming tool that operates directly in your terminal, allowing developers to collaborate with LLMs on new or existing codebases. It features deep Git integration, supports over 100 programming languages, and can connect to a wide range of cloud and local LLMs. Free and open source, Aider streamlines development workflows by automating code changes and testing.

What Makes It Unique

Aider maps your entire codebase to provide comprehensive context to LLMs, enabling it to work effectively on larger projects. It also offers unique features like voice-to-code and the ability to add images and web pages for visual context during coding sessions.

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Use Cases & Target Users

Use Cases

Coding

Software Development

Automation

Best For

Starting new coding projects with AI assistance

Building on existing codebases with LLM support

Automating code changes and bug fixes

Fit Score

Complexity

Advanced

Target Team Size

INDIVIDUAL

SMALL_TEAM

LARGE_TEAM

Target Skill Level

INTERMEDIATE

EXPERT

Key Features

Connects to cloud and local LLMs

Maps entire codebase for context

Supports over 100 programming languages

Automatic Git integration with sensible commit messages

Works within popular IDEs and text editors

Add images and web pages for visual context

Technical Specifications

API Available

SDK Available

MCP Compatible

Open Source

Apache-2.0

Team Features

Pros

+Open-source and free to use, offering flexibility and community support
+Integrates deeply with Git for version control and easy change management
+Supports a wide array of LLMs, including local models, for diverse use cases
+Works with over 100 programming languages, making it versatile for many projects
+Provides codebase mapping for better context in large projects
+Offers unique features like voice-to-code and image/URL context

Limitations

-Requires API keys for most powerful LLMs, incurring external costs
-Primarily a command-line interface tool, which may have a learning curve for some users
-No built-in graphical user interface (GUI) for visual interaction
-Relies on external LLMs, so performance and availability depend on third-party services
-Does not offer enterprise-grade compliance certifications like SOC 2 or HIPAA