Source: Dev.to | Jan 28, 2026 (UTC)
You’re at dinner. Your phone buzzes. Production error. Again.
You could finish your meal like a normal human, or you could spend the next hour debugging a null pointer exception because some API changed their response format.
What if there was a third option?
The Problem with Error Monitoring
Every error monitoring tool works the same way:
- Error happens
- You get alerted
- You stop what you’re doing
- You debug for 30 minutes (or 3 hours)
- You deploy a fix
- Repeat
The alert is the easy part. The fix is the hard part. And yet, every tool stops at step 2.
What if the Tool Just… Fixed It?
That’s what I built with Shipd.
Here’s what happens when your app crashes:
- SDK catches the error with full context (stack trace, request, environment)
- AI clones your repo and reads the source code
- AI identifies the root cause
- AI writes a minimal, targeted fix
- AI opens a pull request on GitHub
- You review and merge
From error to pull request in ~30 seconds. No debugging. No context switching. Just code review.
// That's it. One line. import { Shipd } from '@shipd/sdk'; Shipd.init({ apiKey: process.env.SHIPD_API_KEY });
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