Sentry Seer

Seer is Sentry's AI debugging agent that turns the platform's rich telemetry into answers and actionable fixes, helping developers troubleshoot errors and performance issues at every stage of development.

Drawing on Sentry's issue details, tracing data, logs, and profiles, Seer automatically investigates new issues to identify root causes and can generate pull requests with proposed fixes, often before a developer is even alerted.

It is built for teams already using Sentry for error monitoring who want to move from detection to resolution faster, and it became generally available with ongoing expansion into local development and code review.

Key capabilities include Autofix for end-to-end debugging and fix generation, a conversational Seer Agent that answers natural-language questions about an application by finding the relevant telemetry, AI code review that checks pull requests against real production data to catch bugs before merge, and automatic root-cause analysis when new issues occur.

Seer integrates with coding agents and editors such as Claude Code, Cursor, and Copilot for fix handoff, and it surfaces suggestions in Slack and through a Sentry MCP server that connects local coding agents to a debugging feedback loop.

Typical use cases include reducing mean time to resolution for production errors, debugging during local development, and catching regressions in code review. Strengths include deep grounding in real production context, automation that can pre-empt incidents, and broad tool integrations.

Limitations are that it requires the Sentry ecosystem and telemetry to be useful, and it is available only on paid plans. Seer uses a subscription model priced per active contributor on top of paid Sentry plans. Pricing changes often, so check the official site for current plans.