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🛠️ Tech Stack
- Frontend: Vite, React, Tailwind CSS, Framer Motion
- Backend: Python Flask, Groq API (Llama-3)
- Data Engine: Coral SQL, GitHub MCP, Linear MCP, Slack MCP
- Deployment: Vercel (Frontend), Local/Render (Backend)
Key Learnings
Building PatchPoint under hackathon constraints taught me the value of declarative data layers. By offloading API complexity to Coral, I focused on UX and business logic. I also learned the importance of resilient architecture—implementing a "Smart Fallback" ensured that even if the backend failed, the frontend could still demonstrate the product’s value using curated mocks.
🔗 Try It Yourself
Acknowledgments
Huge thanks to wemakedevs and coral for organizing the #CoralBeanHackathon. The opportunity to build with Coral SQL was a game-changer, showing how unified data layers can transform DevOps workflows from reactive panic to proactive governance.
Have you tried using SQL for cross-tool data resolution? Let me know in the comments! 👇
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