Installation

This guide covers how to install List Coder IDE on Windows, macOS, and Linux.

Get started with List Coder by installing the IDE for your operating system. List Coder is a cross-platform desktop application built to deliver a native, high-performance AI coding environment.

You can download the latest installers from the Official Downloads Page.


Installation by Operating System

1

Windows Installation

  1. Download the List-Coder-Setup.exe or List-Coder.msix from the Download page.
  2. Double-click the downloaded file to run the installer.
  3. Follow the on-screen prompts. Once finished, List Coder will launch automatically.

Installation via WinGet

Alternatively, you can install List Coder using the Windows Package Manager:

winget install List.List
2

macOS Installation

DMG Installer

  1. Download the List-Coder-macOS.dmg (supports Apple Silicon and Intel chips).
  2. Double-click the .dmg file to mount it.
  3. Drag the List Coder icon into your Applications folder.
  4. Open your Applications folder and double-click List Coder to start.

Installation via Homebrew

For terminal users, you can install the cask:

brew install --cask list
3

Linux Installation

Ubuntu / Debian (.deb)

  1. Download the .deb package.
  2. Install it using dpkg or your software manager:
sudo dpkg -i list-coder.deb
sudo apt-get install -f

AppImage (Universal)

  1. Download the .AppImage package.
  2. Make it executable and run it:
chmod +x List-Coder.AppImage
./List-Coder.AppImage

Verifying Setup

1

Launch List Coder

Launch the IDE from your system application launcher.

2

Sign In

When you open List Coder for the first time, click Sign In in the bottom-left corner to connect your account (via GitHub or Google). This activates your cloud-based AI limits.

3

Verify AI Settings

Open settings using Ctrl + , (or Cmd + , on macOS) and navigate to the List AI tab. Verify that the default model (List-3.0-Ultra-Coder) is selected and active.

Local AI Setup:

If you plan to use List Coder offline or locally without sending code to the cloud, please refer to the Local Setup Guide to configure Ollama and GGUF models.