RepoPilot：面向 GitHub issues 的開源 AI 助手

This is a submission for the Hacktoberfest: Open-Source AI Challenge Week 2, hosted by DEV and its community partners.

What I Built

RepoPilot is an AI-powered assistant designed to help open-source maintainers manage GitHub issues more efficiently.

Open-source projects often receive bug reports, feature requests, and questions that take time to review and categorize. RepoPilot aims to simplify this workflow by analyzing issue descriptions, identifying the main problem, suggesting relevant labels, and generating helpful response drafts.

The goal is to make open-source contributions easier for maintainers and newcomers alike.

Demo

The demo will showcase how a user submits an issue description and receives an AI-generated summary, suggested category, priority, and response draft.

Code

The project repository will include the source code, installation instructions, environment configuration, and examples so that other developers can run and contribute to RepoPilot.

How I Built It

RepoPilot is designed to use an open-source language model through Hugging Face Transformers or a compatible inference provider.

The application can use Python for the backend, FastAPI for API endpoints, and a lightweight web interface for submitting issues and displaying results.

The workflow is straightforward:

1. The user submits a GitHub issue description.
2. The backend prepares the text for analysis.
3. An AI model summarizes the issue and suggests a category and priority.
4. The application generates a draft response for the maintainer.
5. The user reviews the suggestions before applying them.

The project is designed to be modular, allowing developers to replace the model, customize prompts, and add GitHub API integration.

Why Does Open Innovation Matter?

Open innovation allows developers to learn from one another, improve existing tools, and build technology that more people can access.

An open-source AI assistant gives contributors the opportunity to inspect the implementation, experiment with different models, improve prompts, and adapt the tool to their own projects.

Using open-source AI encourages transparency and experimentation instead of locking the entire workflow behind a proprietary API.

RepoPilot aims to demonstrate how accessible AI tools can help reduce repetitive work and make open-source collaboration more welcoming.

Thanks for supporting open-source AI and the developer community!!