The Raygun alternative that turns errors into fix PRs
Raygun pairs crash reporting with performance monitoring in its cloud. Condux focuses on errors plus the fix: the Conductor opens draft pull requests your team reviews and merges, and it self-hosts under a source-available license.
Raygun is a hosted suite covering crash reporting and real user and application performance monitoring. Condux is narrower and self-hostable, and its differentiator is the fix engine: a draft PR your team owns, on your own model key.
Condux vs Raygun, side by side
We only claim what ships, and we state their published facts. Nothing invented.
| Feature | Condux | Raygun |
|---|---|---|
| AI fix engine | The Conductor turns an error into a draft pull request your own team reviews and merges | No draft-PR fix engine |
| Self-hosting | First class: one Docker Compose stack or a Helm chart, source-available under the FSL | Cloud hosted, proprietary |
| SDK | Sentry-SDK compatible: keep your SDK, change the DSN | Its own first-party providers |
| Where the AI runs | Your own model key, your boundary | Their cloud |
When to choose Raygun over Condux
Balanced beats biased. Here is where they are the better call.
- You want crash reporting bundled with real user monitoring and application performance monitoring in one hosted suite.
- You do not need to self-host or bring your own model.
Frequently asked questions
Does Condux do performance monitoring like Raygun?
Condux focuses on error monitoring plus the fix engine, and ingests native OpenTelemetry logs. Full application performance monitoring parity is not the goal; the fix engine and self-host are.