mttrly for Vibe Coders
A DevOps safety net for AI-assisted developers
You build amazing things with Cursor, Replit, and AI. But when production breaks at 2am, you're lost. mttrly is your DevOps safety net.
🎨 White Screen After Deploy
Built with Cursor, worked locally. Production: blank page. You're lost.
$ ssh prod-server
$ journalctl -u nginx -n 1000 | grep ERROR
...scrolling through noise...
...still no idea where the error is...✓ Server reachable
✓ Ports open
✗ Nginx config error line 47
→ "listen 80" missing semicolon
Fix it, I'll reloadThe Problem
- ✗Deployed with Cursor but getting 502 errors
- ✗No idea how to read server logs
- ✗SSH feels like black magic
- ✗Just want to ship features, not learn ops
The Solution
mttrly gathers live evidence, explains it in plain English, and offers a scoped next action. The terminal stops being the place where you first reconstruct the incident.
What is Vibe Coding?
Vibe coding is a new approach to software development where AI tools like Cursor, Replit, GitHub Copilot, and v0 do most of the heavy lifting. You describe what you want, the AI writes the code, and you ship it. The problem? When something breaks in production, the AI can't help you fix servers.
Common Scenarios for Vibe Coders
White screen after deploy
Problem: Your Next.js app shows a blank page in production but works locally. You built it with Cursor, everything worked. Now: nothing.
How mttrly helps: You: "why is my site down?" → Bro runs the WebsiteDown diagnostic recipe → checks the server, nginx, and app process → reports the exact config error and line → you edit the file, request a guarded reload, and see verification in the same incident trail.
App crashes randomly
Problem: Your Replit project dies every few hours. No pattern. Just... crashes.
How mttrly helps: You: "everything is slow" → Bro runs HighLatency diagnostic → checks CPU (23%), disk (45%), RAM (94% — HIGH) → node.js using 3.2GB → found 127 "heap out of memory" warnings → explains "memory leak from deploy 2 hours ago" → offers restart or rollback.
Errors after deploy
Problem: Deployed your changes. Now getting 500 errors. Users are complaining.
How mttrly helps: You: "show me errors" → Bro finds 23 errors in last 10 minutes → all "TypeError: Cannot read property 'id' of undefined" → /api/users.js line 47 → started 8 min ago (right after deploy) → suggests "this is new, want to roll back?"
Why not just ask ChatGPT to fix it?
AI can explain concepts and suggest solutions, but it can't see your actual server. It doesn't know your current CPU usage, your latest error logs, or which services are running. mttrly bridges this gap by giving you real-time visibility into your server — in language you understand.