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AI-native observability tool that self-heals software bugs.
Auto-instruments repositories with OpenTelemetry using a single command to ensure comprehensive telemetry coverage. Groups noisy, duplicate alerts into single, actionable incidents with full investigative context attached. Investigates production failures by analyzing logs, traces, recent deploys, and past communications. Posts merge-ready pull requests directly to Slack for engineering review and resolution.
Automated instrumentation eliminates days of manual setup and keeps telemetry in sync with code updates. Intelligent grouping reduces alert fatigue by consolidating duplicates into single, high-context incidents. AI-driven investigation produces ready-to-merge PRs, significantly lowering the time to resolution for production bugs. Vendor-neutral telemetry ensures teams maintain full control over their own data and infrastructure.
Category: AI & Automation
Team Size: 2-10
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Superlog is an open-source, AI-native observability platform designed to automate incident management for development teams. By automatically instrumenting code with OpenTelemetry, it groups noisy signals into single incidents and provides full context including logs, traces, and metrics. When an issue is detected, the AI investigates and generates a mergeable pull request in Slack, allowing engineers to resolve production bugs effortlessly.
Founded in 2026 by Nicolò Magnante and Arseniy Shishaev, Superlog emerged from their shared frustration with traditional observability tools. After years of dealing with alert fatigue and inefficient debugging processes at Datadog and other startups, they built Superlog to create an 'observability tool you're not supposed to open,' aiming to make software self-healing and bug-free.
