devorbit.live

Hey Indie Hackers,

Like a lot of you, I hate debugging production outages.

A few months ago, I was paged at 3 AM for a failing database query. By the time I:

1. Traced the alert in Datadog,

2. Located the offending lines in GitHub,

3. Figured out the root cause (an unhandled null state in an aggregation query),

4. Wrote the patch and pushed a PR...

...over 2 hours of sleep were gone.

I realised that alert systems are great at telling you when things break, but completely leave the why and how to fix it to manual labor.

So, I spent the last few weeks building DevOrbit (https://www.devorbit.live). The premise is dead simple:

• You paste a Trace ID (from Datadog, GCP, New Relic, etc.).

• It maps the error log to the exact line of code in your repo.

• It automatically proposes a production-ready, syntax-highlighted GitHub PR with the bugfix.

I also built a two-way Slack integration where you can just run /devorbit investigate <trace_id> directly in your team alert channels, and it drops the diagnosis there.

Here is where I need your help:

Observability and error monitoring is a notoriously crowded space (Sentry, Datadog, LogRocket). But they are mostly passive charts.

If you are a developer or team lead:

1. Would you trust an AI assistant to write your production bugfixes, even if you have full human-in-the-loop review before merging?

2. Is logs-to-remediation a real daily pain point for you, or is "log digging" just accepted as part of the job?

Would love your honest, unfiltered feedback on the flow!