PRMate

Inspiration

Open-source maintainers spend significant time:

triaging issues
reviewing pull requests
detecting duplicate reports
generating release notes
identifying project risks
understanding recent repository activity

That work is valuable, but it is repetitive and often slows down maintainers who should be focused on decisions.

What it does

PRMate analyzes repository activity and generates a maintainer-ready dashboard:

health score
weekly maintainer report
AI issue prioritization
duplicate issue detection
AI release notes
repository Q&A
Coral SQL repository explorer

The goal is simple: turn noisy repository data into clear next actions.

How we built it

Built Using

Next.js
React
Gemini 2.5 flash LLM
Coral
GitHub API
Tailwind CSS
Google AI

Architecture

GitHub API
↓
Repository Activity Snapshot
↓
Gemini
↓
Insights Dashboard

Coral SQL
↓
Repository Explorer
↓
Demo Query Results

Challenges we ran into

Designing prompts that consistently produced useful maintainer insights instead of generic summaries. Balancing GitHub API limits while keeping repository analysis fast and responsive. Integrating Coral into the application workflow and executing SQL queries safely. Converting large amounts of repository activity into concise, actionable information for maintainers. Ensuring the dashboard remained simple despite combining multiple AI-powered features.

Accomplishments that we're proud of

Built a complete AI-powered maintainer dashboard from scratch. Successfully integrated the Gemini API to generate repository summaries, issue prioritization, release notes, repository Q&A, and weekly maintainer reports. Combined GitHub data with Coral SQL to demonstrate structured repository exploration. Designed a workflow that transforms raw repository activity into actionable maintainer insights. Delivered a polished, production-ready web application within the hackathon timeframe.

What we learned

Prompt engineering plays a major role in producing reliable developer-focused AI outputs. The Gemini API is highly effective for summarizing technical repository activity and generating structured reports. Coral provides a powerful SQL abstraction over external data sources, making repository exploration much easier. Building AI developer tools requires balancing accuracy, latency, and API usage. A polished user experience and clear workflow are just as important as the underlying AI.

What's next for PRMate

Support private repositories with secure authentication. Analyze entire repository histories using pagination instead of recent snapshots. Add semantic search and RAG over repository code, documentation, and discussions. Introduce autonomous maintainer workflows, such as automatically grouping issues, suggesting labels, and drafting pull request reviews. Expand Coral integrations to additional sources like Jira, Slack, Notion, and Linear for a unified engineering workspace. Enable team collaboration, saved reports, and scheduled repository health monitoring.

These answers emphasize your use of the Gemini API, the technical challenges, and a realistic roadmap, which aligns well with what DevPost judges typically look for.