Github Assistant 🚀

AI-Powered Triage & Workflow Automation Engine for Open-Source Maintainers.

Maintainer Copilot reduces the triage overhead of busy open-source projects. Powered by Google Gemini and connected directly to the GitHub REST API, it automates duplicate bug clustering, screens for incomplete issue reports, summarizes pull requests, and streams real-time diagnostic progress to your dashboard via Server-Sent Events (SSE).

🎯 The Core Problem & What Maintainer Copilot Does

Popular open-source repositories receive dozens of new issues and pull requests every single day. Maintainers spend hours manually reading, filtering, and replying instead of building features.

Maintainer Copilot turns hours of repetitive triage into a 2-minute automated review:

1. 🔍 AI Bug Detective (Duplicate Issue Detection)

• The Problem: 10 different contributors report the exact same bug using completely different words (e.g., “Login not working” vs. “Auth token returns 401 on refresh”). Maintainers waste time diagnosing the same issue repeatedly.

• The Solution: Gemini analyzes the underlying technical symptoms across all issues, groups them into semantic clusters, identifies the canonical report, and recommends merging duplicates.

2. 📋 Incomplete Issue Screening (6-Point Quality Gate)

• The Problem: Contributors frequently submit vague reports like “App crashes on start” without reproduction steps, error logs, or environment details.

• The Solution: Automatically audits incoming issues against 6 critical completeness checks (repro steps, environment, error logs, expected behavior, minimal code sample, system info). If an issue fails, it generates a polite, actionable 1-click template asking the contributor for specific missing details.

3. 🔀 Smart Pull Request Risk Review

• The Problem: Line-by-line manual code reviews across multiple PRs create a massive maintainer bottleneck.

• The Solution: Ingests live PR diffs and branch targets to generate high-level blast-radius summaries, highlighting potential breaking changes and areas needing test coverage before you dive into the code.