Superlog

About Superlog

Superlog is AI-native observability designed, in its own words, not to be opened. The argument it makes about the category is sharp: Sentry and Datadog produce a stream of alerts that are mostly duplicates, mostly missing context, and still leave the engineer to diagnose and fix the problem. Superlog inverts the workflow. A wizard scans your repository and installs proper OpenTelemetry instrumentation, then runs daily to keep it current as the code changes — which addresses the real reason most teams' tracing is bad, namely that instrumentation rots the moment nobody owns it. From there, similar errors collapse into a single incident with severity and impact attached, an agent investigates, and the output arrives in Slack as a pull request with the fix and a test, not as a notification. Responder, the bug-fixing agent, also runs against existing Datadog and Sentry installations, so adoption does not require ripping out the current stack. The instrumentation it writes is vendor-neutral OpenTelemetry, so the telemetry is portable if the product does not work out. Billing is metered per signal — spans, logs and metric points — rather than per gigabyte, which the company argues is fairer because it does not penalise rich metadata, and investigations are a separate credit line with 50 included free every month on both the free and pay-as-you-go plans.

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