We ship the PRs you keep snoozing.
Salamonitor connects to your observability stack, scans your most frequent errors, and ships PRs to fix them.
You have a backlog of 412 low-priority errors.Nobody is going to touch them.
The same errors clutter your observability stack for months. Salamonitor cleans them up so you can focus on what matters.
*Assumes a 10-engineer team, a 10% reduction in the 17.3 hours per week developers spend on bad code, debugging, refactoring, and modifying, and the U.S. median software developer wage.
One error in. One PR out.
Salamonitor turns a recurring error signature into a tiny, context-rich pull request: the fix, the trace, the affected services, the tests. Merge it, close it, or ignore it - we learn either way.
- ▪ One recurring prod error. One small PR.
- ▪ Evidence attached: signature, 24h count, services, trace.
- ▪ Regression test added. Lint/CI green before review.
- ▪ You merge, close, or ignore. Salamonitor learns either way.
Four quiet steps from error backlog to pull request.
The product flow is simple on purpose: watch the stream, trace it to code, investigate in a sandbox, then open one clean PR.
Three plans. No seat tax.
- Scans every 24 hours
- 1 fix per scan
- Up to 30 fixes per month
- Unlimited repositories
Everything in Starter, plus:
- Scans every 6 hours
- 3 fixes per scan
- Up to 360 fixes per month
- Priority support
Everything in Growth, plus:
- Custom scan frequency
- Custom fixes per scan
- Unlimited fixes
- Dedicated support
- Custom SLAs
The honest answers.
What does Salamonitor actually do?
It reads your production error stream every night, groups recurring errors, investigates each one in an isolated sandbox, and opens a small, reviewable GitHub PR with the fix, the trace, and the affected services. You merge, close, or ignore.
Will it touch production code without me asking?
No. Salamonitor only opens pull requests. Nothing reaches main without a human merging it. Every PR has a tight scope, a generated changelog entry, and the exact error trace that triggered it.
What does it need access to?
Read access to your observability platform (Sentry, Datadog, Honeycomb, etc.), and a GitHub App scoped to the repos you choose. No raw logs are retained - only error signatures and the outcomes of past PRs.
How is this different from Copilot, Cursor, or other coding agents?
Those tools wait for you to start. Salamonitor starts on its own - from the actual errors your users are hitting in production. It's a manager, not an assistant. You don't prompt it; it ships work to your inbox.
What about errors it can't fix?
It tells you. Each investigation ends with one of: "opened PR", "needs human - here's what I found", or "already fixed in #N". You always know why a thing did or didn't ship.
Is my code sent to a model provider?
Only the minimum needed: the relevant files, the stack trace, and the error context. Investigations run in ephemeral sandboxes and are torn down on completion. Enterprise plans support self-hosted inference and VPC peering.
How long until I see the first PR?
Usually within 24 hours of connecting. The first run sweeps your existing backlog; from there it runs nightly and only acts on errors that are new, regressing, or rising in volume.
What happens if it gets one wrong?
You close the PR, optionally with a comment. Salamonitor remembers the outcome and won't pitch a similar fix again. The system gets better at your codebase over time - not better at "coding" in general.