Triavo installs statistics

Triavo is an AI-powered GitHub issue triaging assistant that analyzes repository activity and intelligently assigns issues to the most relevant contributors.

Capabilities

Triavo helps repositories manage issues more efficiently by automatically analyzing repository activity and recommending the best contributor for each issue.

• AI-powered issue triage: Automatically analyzes new GitHub issues and suggests the most relevant contributor. • Expertise detection: Evaluates commit history, file changes, and past contributions to determine developer expertise. • Smart contributor ranking: Ranks potential assignees with confidence scores to help maintainers make faster decisions. • Automated recommendations: Posts suggestions directly on issues to streamline assignment workflows.

Benefits

Triavo helps maintainers manage issues faster and ensures tasks reach the most qualified contributors.

• Faster issue management: Automatically suggests the best contributor instead of manually reviewing repository activity. • Better task distribution: Assigns issues based on real expertise rather than guesswork. • Improved collaboration: Helps teams identify the most knowledgeable developer for each issue. • Reduced maintainer workload: Saves time by automating the issue triaging process.

Getting Started

Requirements

• Plan: Free to use • User Permissions: Repository admin or maintainer permissions required • Availability: Public release • Onboarding: Installation takes less than a a minute through GitHub Marketplace

Setup Process

• Install Triavo from the GitHub Marketplace. • Grant the required repository permissions. • Once installed, Triavo will automatically analyze new issues and suggest the most relevant contributor.

Example Output

After installation, Triavo automatically comments on new issues with a recommendation:

Example Use Cases

• Automatically suggest the best contributor for new issues. • Help maintainers quickly decide who should handle an issue. • Identify experts in the repository based on contribution history.