glassbox-ai
Autonomous coding agent that ships tested PRs from GitHub issues. Trust-scored multi-agent pipeline - every decision transparent. Trust is earned, not assumed. 💎
How to use
The Glassbox-AI MCP server serves as an autonomous coding agent that efficiently manages GitHub issues by shipping tested pull requests (PRs). Developers can leverage its trust-scored multi-agent pipeline, ensuring that every decision made by the agent is transparent and earns trust through consistent performance. This innovative tool streamlines the coding workflow, making it easier to address issues while maintaining high code quality.
Once connected to the Glassbox-AI server, you can interact with it by submitting GitHub issues for processing. The server analyzes the issues and generates PRs based on the context provided, allowing you to focus on higher-level tasks while ensuring that code changes are both reliable and well-tested. To get the best results, provide clear and concise issue descriptions that outline the expected functionality and any specific requirements.
How to install
Prerequisites
Ensure you have Node.js installed on your machine. You can download it from nodejs.org.
Option A: Quick Start with npx
If you want to quickly get started, you can use the following command:
npx -y glassbox-ai
Option B: Global Install Alternative
To install Glassbox-AI globally, use:
npm install -g glassbox-ai
This allows you to run the server from anywhere in your command line.
Additional notes
When configuring the Glassbox-AI server, ensure you set up the necessary environment variables to connect to your GitHub repositories securely. Pay attention to authentication tokens and permissions, as they are crucial for the agent to access the issues and manage PRs effectively. A common gotcha is not having the correct permissions set in your GitHub repository, which can prevent the server from executing actions on your behalf.
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