Exploring Dosu: An AI-Powered Tool for Open Source Software Maintainers

• **Autolabeling**: Dosu has a built-in class called Autolabel, which automatically adds labels to new issues and pull requests based on their content. This feature helps keep your repository organized and makes it easier for maintainers to track related work.
• **Labels**: Labels are primary ways to categorize and filter issues and pull requests in a GitHub repository. They're crucial for keeping things tidy and allowing you to focus on specific areas of your project.
• **Early Access**: Currently, Dosu is invite-only due to the volume of requests. However, if you want to get started with early access, head over to dos.deev, fill out your contact information, and click the "Get Early Access" button. You'll find documentation showcasing how to use Dosu in the description below.
• **Workspaces**: A workspace represents a specific instance of Dosu that interacts with a target (e.g., GitHub repository, Slack channel). Each workspace has its own configuration, allowing you to tailor it to your preferences.
• **Data Sources**: Data sources are different sources of information that Dosu has access to. You can configure these for each workspace.

Let's take a look at the dashboard!

• * **Threads**: An overview of your data sources currently indexed and available in the workspace configuration.
• * **Settings**: Configuration options for your team members, Integrations (e.g., Slack, Linear), and more.
• * **Example Integration with GitHub**: Let's deploy Dosu to a forked GitHub repository. You can create a new workspace, configure it as desired, and start using Dosu!