DuckCoding

DuckCoding simplifies the setup and ongoing management of popular AI coding assistants by providing a single cross-platform desktop application for Claude Code, CodeX, and Gemini CLI. It automatically detects installed tools, handles installation and updates, manages multiple configuration profiles with isolated API keys, and provides a transparent proxy system with session-level configuration. The app centralizes tool management across Local, WSL, and SSH environments, includes multi-vendor API balance monitoring with customizable extractors, and stores all data locally without collecting user information. Developers and operations teams benefit from reduced configuration time, unified multi-environment control, and streamlined workflow integration.

[{"step":"Install DuckCoding from the official website or package manager (e.g., `brew install duckcoding` for macOS or `choco install duckcoding` for Windows).","tip":"Ensure your system meets the minimum requirements for the AI tool you plan to use (e.g., Python 3.10+ for Claude Code)."},{"step":"Open DuckCoding and select the AI tool you want to set up (e.g., Claude Code, CodeX, or Gemini CLI) from the dropdown menu.","tip":"If you're unsure which tool to choose, DuckCoding provides a comparison guide based on your project type (e.g., Python projects work best with Claude Code, while frontend projects may prefer CodeX)."},{"step":"Configure the tool settings in the DuckCoding UI. Enter your API key, select the default model, and specify the project root directory. Enable/disable linters and formatters as needed.","tip":"Use the 'Test Connection' button to verify the API key and tool installation before proceeding."},{"step":"Click 'Initialize Project' and select the project type (e.g., Python Flask, React, Node.js). DuckCoding will automatically set up the project structure and install dependencies.","tip":"For existing projects, use the 'Import Existing Project' option to migrate settings from a previous configuration."},{"step":"Run a test command (e.g., `duckcoding verify`) to confirm the setup is complete. Start coding by invoking the AI tool directly from your terminal or IDE.","tip":"Save the project configuration file (`.duckcoding/config.json`) to your project's Git repository so your team can replicate the setup effortlessly."}]