Paste any GitHub repo URL → Get instant AI-powered issue triage, priority kanban board, and sprint planning in seconds.
BugWhisperer is an AI-powered GitHub issue analyzer that helps developers and teams instantly understand, prioritize, and plan around their open GitHub issues.
Instead of manually reading through dozens of issues trying to figure out what to fix first, BugWhisperer does it for you in seconds using Groq's blazing-fast Llama 3.1 AI.
Paste any public GitHub repo URL and get AI analysis of every open issue:
- Root Cause — What is likely causing this issue
- Suggested Fix — Concrete, actionable solution in plain English
- Complexity Rating — Low / Medium / High
- Priority Rating — Low / Medium / High / Critical
Issues are automatically sorted into a visual 4-column priority board:
| 🔴 Critical | 🟠 High | 🟡 Medium | 🟢 Low |
|---|---|---|---|
| Fix immediately | This sprint | Next sprint | Backlog |
One click generates a complete 2-week sprint plan with:
- Time estimates per issue (in hours)
- Recommended team size
- Week 1 and Week 2 breakdown
- Backlog items for later
Export the complete analysis as a .md file — ready to paste into your GitHub Wiki, Notion, Linear, or team docs.
Post the AI analysis directly as a formatted comment on any GitHub issue — closing the loop from analysis to action without leaving the app.
Paste a GitHub repo URL → Click Analyze Issues → Get instant AI triage
Before (September 2025 — The Abandoned Script):
def analyze_issue(issue):
# wanted to use openai here but ran out of time
pass
def main():
repo = "facebook/react" # hardcoded lol
get_issues(repo)
print("done?")After (June 2026 — Full AI Command Center):
- ✅ Full React web application deployed on Cloudflare Workers
- ✅ Analyzes any public GitHub repo instantly
- ✅ Kanban board sorted by AI priority
- ✅ 2-week sprint planner
- ✅ One-click markdown export
- ✅ Post analysis back to GitHub
- ✅ 100% free to use
| Layer | Technology | Why |
|---|---|---|
| Frontend | React + TanStack + Tailwind CSS | Fast, modern, type-safe |
| Backend | Cloudflare Workers | Serverless, globally distributed, free |
| AI Model | Groq API — llama-3.1-8b-instant |
Fastest inference, free tier |
| GitHub Data | GitHub REST API v3 | Official, reliable, free |
| Build Tool | Vite + Bun | Extremely fast builds |
| Hosting | Cloudflare Workers | Free, global CDN |
- Groq API Key — Free, 14,400 requests/day
- GitHub Personal Access Token — Free, needed for public repos
# Clone the repo
git clone https://github.com/SimranShaikh20/BugWhisperer.git
cd BugWhisperer
# Install dependencies
npm install
# Copy environment file
cp .env.example .envEdit .env file:
GITHUB_TOKEN=ghp_your_github_token_here
GROQ_API_KEY=gsk_your_groq_api_key_herenpm run devOpen http://localhost:5173 and start analyzing!
# Install Wrangler
npm install -g wrangler
# Login to Cloudflare
wrangler login
# Add secrets
wrangler secret put GITHUB_TOKEN
wrangler secret put GROQ_API_KEY
# Deploy
npm run deploy1. User pastes GitHub repo URL
↓
2. Cloudflare Worker fetches all open issues
via GitHub REST API (authenticated)
↓
3. Each issue sent to Groq API (Llama 3.1)
with structured analysis prompt
↓
4. AI returns for each issue:
- root_cause
- suggested_fix
- complexity (Low/Medium/High)
- priority (Low/Medium/High/Critical)
↓
5. React frontend renders issues in
Kanban board sorted by priority
↓
6. Optional: Generate AI Sprint Plan
Optional: Export as Markdown
Optional: Post to GitHub as comment
| Service | Free Tier Limit | BugWhisperer Usage |
|---|---|---|
| Groq API | 14,400 requests/day | ~5-10 per analysis |
| GitHub API | 5,000 requests/hour | ~1 per repo |
| Cloudflare Workers | 100,000 requests/day | 1 per user visit |
Total cost to run: $0.00 Everything used is on a free tier.
- Support for private repos (user provides their own token)
- GitHub Actions integration — auto-analyze on new issues
- Slack notifications for critical issues
- Multi-repo comparison dashboard
- VS Code extension
- Team collaboration mode with shared boards
Contributions are welcome! Here is how:
- Fork the repo
- Create your feature branch
git checkout -b feature/your-feature-name- Commit your changes
git commit -m "Add: your feature description"- Push to your branch
git push origin feature/your-feature-name- Open a Pull Request
This project was built for the GitHub Finish-Up-A-Thon Challenge on DEV.to.
The original broken script was started in September 2025 and abandoned after failing to get the AI integration working. Eight months later, this challenge motivated me to finally finish it — with the help of GitHub Copilot which helped me bridge every technical gap I had hit before.
Read the full story on DEV.to: [YOUR_DEVTO_POST_URL]
MIT License — use it freely, build on it, ship it.
- Groq — blazing fast free AI inference
- GitHub — REST API that powers everything
- Lovable — where the app was built
- Cloudflare Workers — free global deployment
- GitHub Copilot — helped me finally finish this
🚀 Live Demo · 📖 Read the Story · 🐛 Report Bug