adal-cli

AdaL CLI is a terminal-based agent that helps with engineering and research tasks by acting as an autonomous coding assistant. It runs in your shell and provides a suite of commands and prompts to manage issues, run quick experiments, and generate or fix documentation with context-aware reasoning. The CLI is designed to be invoked directly from your terminal and can evolve its behavior based on interaction history and user prompts, enabling iterative improvements to your workflows. Tools and capabilities typically exposed by AdaL CLI include issuing tasks to automated code generators, querying project state, generating documentation snippets, and reporting issues with AI-assisted reasoning to help you stay productive.

To use AdaL CLI, install it globally via npm and run the adal command from any project directory. The CLI will load your current workspace context, remember previous interactions, and provide a conversational interface for performing common development tasks. You can prompt it to draft PR descriptions, create or update docs, explore design alternatives, or fetch relevant snippets and examples tailored to your project. The agent is designed to be lightweight to run in a typical terminal session, making it suitable for quick iterations without leaving the command line.

Prerequisites:

• Node.js 20 or higher installed on your machine
• npm (comes with Node.js)

Install AdaL CLI globally:

npm install -g @ sylphai/adal-cli

Run AdaL CLI from any directory:

adal

If you prefer to run without installing globally, you can use npx to execute the CLI without a global install:

npx -y @sylphai/adal-cli

For local development or contributing to the project, clone the repository and install dependencies as needed, then run the built-in developer commands according to the project’s docs.

Tips and considerations:

• Ensure Node.js is updated to at least version 20 for compatibility.
• If you encounter permission errors when installing globally, consider using a Node version manager (like nvm) or run with elevated privileges as appropriate for your environment.
• The CLI is designed to work within your current workspace context; run it from the root of your project to maximize context awareness.
• If ADA L CLI prompts for authentication or access to remote resources, follow the prompt guidelines and ensure network access is allowed.
• Check for updates regularly, as AdaL CLI frequently evolves with new capabilities and bug fixes.