Sentry has significantly expanded the capabilities of Seer, its AI-powered debugging agent, to support bug detection in local development and code review phases, in addition to production. Announced alongside a simplified, flat-rate pricing model, Seer aims to serve as an intelligent reasoning layer across the entire software development lifecycle, using runtime telemetry to diagnose issues static analysis often misses.
Sentry's AI debugging agent, Seer, now supports local development and code review, in addition to production.
It uses runtime telemetry (errors, traces, logs) to diagnose issues static code analysis cannot catch.
The agent can identify cross-service failures, latency spikes, and errors unique to production traffic patterns.
A new flat pricing model of $40 per active contributor per month offers unlimited usage.
Seer connects to local coding agents via Sentry's MCP server to suggest fixes during local bug reproduction.
It analyzes pull requests to flag high-impact defects likely to cause production failures before merge.
Sentry is positioning Seer as a comprehensive intelligence layer for software development, moving beyond post-production firefighting. By extending its reach into local development environments and the code review process, Seer enables earlier detection and resolution of bugs. This "shift left" approach leverages Sentry's unique dataset of production telemetry to anticipate and prevent issues before they impact end-users, aiming to make debugging a proactive, continuous activity.
A key differentiator for Seer is its foundation in runtime behavior rather than just static code analysis. Many complex failures in distributed systems—such as cascading service failures or performance regressions under load—are invisible in source code alone. Seer analyzes live application telemetry (errors, traces, logs, metrics) to understand how services interact, allowing it to identify the root cause of issues that cross service and infrastructure boundaries.
The new capabilities integrate Seer directly into developer workflows. During local development, it connects to coding agents via the Sentry MCP server, providing runtime context to suggest fixes as bugs are reproduced. In code review, it analyzes pull requests to flag defects with high potential for production impact, focusing on substantive issues over style. In production, it continues its core function of automatic root cause analysis and suggested fixes.
Accompanying this expansion is a major pricing simplification. Seer is now offered at a flat rate of $40 per active contributor per month, with unlimited usage. Contributors are defined as users who create at least two pull requests in a connected repository during the billing period. This model eliminates seat management complexities and usage limits, aiming to encourage widespread adoption across engineering teams.
Sentry's enhancement of Seer represents a strategic evolution from an error monitoring platform to an AI-driven, full-lifecycle debugging partner. By combining deep production insights with earlier intervention points and a developer-friendly pricing model, Sentry aims to deeply integrate its diagnostic intelligence into the daily workflow of every developer, reducing resolution time and increasing code reliability from write-through to runtime.
About Sentry
Sentry helps every developer detect, understand, and fix broken code, fast. Using Sentry’s debugging platform decreases resolution time from days to minutes, giving developers more time to do the stuff they love, all while making customers happier. Sentry is used by over 4 million developers and 150,000 organizations, including Disney+, Cloudflare, GitHub, Anthropic, Vercel, and Atlassian.
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