Skip to main content

Aider is AI pair programming in your terminal

Project description

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

Configuration

The documentation above contains the full set of allowed configuration options but I highly recommend using an .aider.conf.yml file. A good place to get started is:

model: <model of your choice>
agent: true
analytics: false
auto-commits: true
auto-save: true
auto-load: true
cache-prompts: true
check-update: true
debug: false
enable-context-compaction: true
env-file: .aider.env
multiline: true
preserve-todo-list: true
show-model-warnings: true
watch-files: true
agent-config: |
  {
    "large_file_token_threshold": 12500,
    "skip_cli_confirmations": false
  }
mcp-servers: |
  {
    "mcpServers":
      {
        "context7":{
          "transport":"http",
          "url":"https://mcp.context7.com/mcp"
        }      
      }   
  }

Use the adjacent .aider.env file to store model api keys as environment variables, e.g:

ANTHROPIC_API_KEY="..."
GEMINI_API_KEY="..."
OPENAI_API_KEY="..."
OPENROUTER_API_KEY="..."
DEEPSEEK_API_KEY="..."

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

All Contributors (Both Aider Main and Aider-CE)

@paul-gauthier @dwash96 @tekacs @ei-grad @joshuavial @chr15m @fry69 @quinlanjager @caseymcc @shladnik @itlackey @tomjuggler @vk4s @titusz @daniel-vainsencher @bphd @akaihola @jalammar @schpet @iamFIREcracker @KennyDizi @ivanfioravanti @mdeweerd @fahmad91 @itsmeknt @cheahjs @youknow04 @pcamp @miradnanali @o-nix

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aider_ce-0.88.31.tar.gz (1.5 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

aider_ce-0.88.31-py3-none-any.whl (545.2 kB view details)

Uploaded Python 3

File details

Details for the file aider_ce-0.88.31.tar.gz.

File metadata

  • Download URL: aider_ce-0.88.31.tar.gz
  • Upload date:
  • Size: 1.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for aider_ce-0.88.31.tar.gz
Algorithm Hash digest
SHA256 8b5b5cccb255aee45ccaa25af73516b77148280afb7dfbd6f3405f62de012158
MD5 26ce6c90ceec03c4b848ecabc77b4c3a
BLAKE2b-256 0745820c460dec7680f5aa86103199656a66f851116e77ecf01f9bf3ff742a25

See more details on using hashes here.

File details

Details for the file aider_ce-0.88.31-py3-none-any.whl.

File metadata

  • Download URL: aider_ce-0.88.31-py3-none-any.whl
  • Upload date:
  • Size: 545.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for aider_ce-0.88.31-py3-none-any.whl
Algorithm Hash digest
SHA256 84d64fcf2278467704bd869016ec6831f97b405e4349028b2e3609717de52b46
MD5 4c19367f50113a3e81fa8ff13d93b501
BLAKE2b-256 5236faf959a5e559413af28e86bce25ac25b6f7d001f1236af41eff950908397

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page