Superlog
Observability that installs itself and fixes bugs
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What is Superlog?
Superlog is an AI-native observability tool that installs itself from a single prompt and keeps your telemetry in sync as your codebase changes. It scans your repository and infrastructure, adds OpenTelemetry instrumentation, and keeps logs, alerts, metrics, and dashboards updated as you ship new code. The product is designed to reduce observability drift, prevent tricky failure modes, and surface issues before they become hard to debug.
When something breaks, Superlog groups related errors into a single incident and investigates with full context. That context includes logs, traces, recent deploys, and past Slack threads, so the investigation is tied to what actually changed in your system. Instead of sending you a flood of raw alerts, it posts one mergeable PR per incident into Slack.
The tool is also built to be workflow-friendly for coding agents and developer teams. You can merge the PR, ignore it, or open it as a Claude Code session and modify it. Superlog also emphasizes vendor-neutral telemetry, which means the logs, traces, and metrics it installs remain yours even if you leave.
It is aimed at developers, engineering teams, and startups that want observability without manually maintaining dashboards and alerts. It also appears suited to teams using Slack and AI coding workflows, since installation, incident delivery, and follow-up actions are integrated around those patterns.
Superlog pricing
Pricing model: Freemium
Superlog shows a Free plan for side projects and first installs where you want useful telemetry fast, and a Developer plan priced at $150 for developers shipping fixes from real usage. The website also indicates pricing is usage-based by traces, logs, metrics, and investigation credits, and it says repos are not charged extra. The Free tier is positioned for getting telemetry installed quickly, while paid usage covers ongoing observability and investigations.
Superlog pros
- One-prompt installation
- Scans repo automatically
- Installs OpenTelemetry instrumentation
- Re-runs daily to stay current
- Keeps alerts in sync with code
- Keeps dashboards in sync with code
- Prevents observability drift
- Groups related errors into one incident
- Uses full incident context
- Includes logs in investigations
- Includes traces in investigations
- Includes recent deploy history
- Includes past Slack threads
- Posts mergeable PRs in Slack
- Vendor-neutral telemetry retention
- Works with Claude Code sessions
- Fits AI-native workflows
- Reduces manual dashboard upkeep
Superlog cons
- Focused on observability workflows only
- Depends on repo and infra scanning
- Best value comes after code is instrumented
- Appears Slack-centric for incident delivery
- Requires trust in automated instrumentation
- Daily re-scanning may not suit static systems
- Mergeable PR workflow may not fit every team
- Pricing is usage-based and can vary
Frequently asked questions about Superlog
What does Superlog do?
Superlog is an observability tool that installs itself, instruments your code with OpenTelemetry, and keeps telemetry artifacts such as logs, alerts, metrics, and dashboards aligned with your codebase as it changes. It is designed to detect issues, group related failures, and help you fix them with less manual observability work.
How is Superlog installed?
The website describes a one-prompt installation flow. A wizard scans your repository, installs the needed instrumentation, and then continues to run daily so the observability setup keeps up with new code.
What happens when an incident is detected?
Superlog groups related errors into a single incident and investigates them with context from logs, traces, recent deploys, and past Slack threads. It then posts one mergeable PR per incident into Slack so the fix can be reviewed and applied in your normal workflow.
Does Superlog keep my telemetry data if I leave?
Yes. The site says telemetry is vendor-neutral, so the logs, traces, and metrics it installs remain yours even if you stop using Superlog.
Who is Superlog built for?
It is aimed at developers and engineering teams that want observability without manually maintaining dashboards and alerts. It also appears especially useful for teams that work in Slack and use AI coding tools or coding agents.
How does Superlog stay in sync with code changes?
Superlog reruns daily so its instrumentation, alerts, and dashboards stay aligned with the current state of your codebase. The product is explicitly positioned as preventing observability drift as you ship new code.
Can I work on fixes directly in an AI coding session?
Yes. The site says you can merge the PR, ignore it, or open it as a Claude Code session and modify it. That makes the incident response flow more flexible for agent-assisted development.
What is included in the Free plan?
The Free plan is presented as a good fit for side projects and first installs where you want useful telemetry quickly. It is the entry option for getting started without committing to the paid developer tier.
What does the Developer plan cost?
The pricing page lists a Developer plan at $150. It is framed for developers shipping fixes from real usage, alongside usage-based billing tied to telemetry and investigation activity.
What kinds of data does Superlog use to investigate problems?
Superlog uses logs, traces, recent deploys, and past Slack threads to investigate incidents. The point is to combine runtime telemetry with deployment and team context so the output is more actionable than raw alerts.