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Project Roadmap/Goals

The current priorities are to improve core capabilities and user experience of the Aider project

  1. Base Asynchronicity (aider-ce coroutine-experiment branch)
  • Refactor codebase to have the main loop run asynchronously
  • Update test harness to work with new asynchronous methods
  1. Repo Map Accuracy - Discussion
  1. Context Discovery - Discussion
  • Develop AST-based search capabilities
  • Enhance file search with ripgrep integration
  • Implement RAG (Retrieval-Augmented Generation) for better code retrieval
  • Build an explicit workflow and local tooling for internal discovery mechanisms
  1. Context Delivery - Discussion
  • Use workflow for internal discovery to better target file snippets needed for specific tasks
  • Add support for partial files and code snippets in model completion messages
  1. TUI Experience - Discussion
  • Add a full TUI (probably using textual) to have a visual interface competitive with the other coding agent terminal programs
  • Re-integrate pretty output formatting
  • Implement a response area, a prompt area with current auto completion capabilities, and a helper area for management utility commands
  1. Agent Mode - Discussion
  • Renaming "navigator mode" to "agent mode" for simplicity
  • Add an explicit "finished" internal tool
  • Add a configuration json setting for agent mode to specify allowed local tools to use, tool call limits, etc.
  • Add a RAG tool for the model to ask questions about the codebase
  • Make the system prompts more aggressive about removing unneeded files/content from the context
  • Add a plugin-like system for allowing agent mode to use user-defined tools in simple python files
  • Add a dynamic tool discovery tool to allow the system to have only the tools it needs in context

Fork Additions

This project aims to be compatible with upstream Aider, but with priority commits merged in and with some opportunistic bug fixes and optimizations

Merged PRs

Other Updates

Documentation and Other Notes

Installation Instructions

This project can be installed using several methods:

Package Installation

pip install aider-ce

or

uv pip install aider-ce

The package exports an aider-ce command that accepts all of Aider's configuration options

Tool Installation

uv tool install --python python3.12 aider-ce

Use the tool installation so aider doesn't interfere with your development environment

All Contributors (Both Aider Main and Aider-CE)

Aider Logo

AI Pair Programming in Your Terminal

Aider lets you pair program with LLMs to start a new project or build on your existing codebase.

aider screencast

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Features

Aider works best with Claude 3.7 Sonnet, DeepSeek R1 & Chat V3, OpenAI o1, o3-mini & GPT-4o, but can connect to almost any LLM, including local models.


Aider makes a map of your entire codebase, which helps it work well in larger projects.


Aider works with most popular programming languages: python, javascript, rust, ruby, go, cpp, php, html, css, and dozens more.


Aider automatically commits changes with sensible commit messages. Use familiar git tools to easily diff, manage and undo AI changes.


Use aider from within your favorite IDE or editor. Ask for changes by adding comments to your code and aider will get to work.


Add images and web pages to the chat to provide visual context, screenshots, reference docs, etc.


Speak with aider about your code! Request new features, test cases or bug fixes using your voice and let aider implement the changes.


Automatically lint and test your code every time aider makes changes. Aider can fix problems detected by your linters and test suites.


Work with any LLM via its web chat interface. Aider streamlines copy/pasting code context and edits back and forth with a browser.

Getting Started

python -m pip install aider-install
aider-install

# Change directory into your codebase
cd /to/your/project

# DeepSeek
aider --model deepseek --api-key deepseek=<key>

# Claude 3.7 Sonnet
aider --model sonnet --api-key anthropic=<key>

# o3-mini
aider --model o3-mini --api-key openai=<key>

See the installation instructions and usage documentation for more details.

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Languages

  • Python 84.4%
  • CSS 3.2%
  • Shell 3.2%
  • Tree-sitter Query 3.0%
  • JavaScript 2.9%
  • HTML 2.1%
  • Other 1.2%