Sentry
Error tracking and observability with Seer, an AI agent that fixes production bugs.
About
Sentry is an application monitoring platform that captures errors, traces, logs, and performance data from production environments. Its AI layer, Seer, investigates production problems in plain language, reasoning through errors, spans, logs, traces, and linked code to surface root causes.
Seer also powers Autofix, a human-in-the-loop feature that suggests and drafts code fixes for production errors using the full context Sentry holds about the environment. Seer Agent now operates in Slack, where teams can swarm an incident, redirect the agent mid-step, and keep the thread as a record. Sentry ships an MCP server and a CLI so coding agents like Claude Code and Cursor can pull production errors directly into the development loop.
What it can do
- Seer AI agent investigates production issues in plain language
- Autofix drafts code fixes using production context
- MCP server connects production errors to coding agents
Setup
Sign up at sentry.io, install the SDK for your language, or self-host via the open-source repo.
Prerequisites
An application to instrument and a Sentry account or self-hosted instance.
Use cases
Works with
Trust score — 9/10
Scored 9/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 103; Trending score 92/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.