Seer is an AI debugging tool designed to enhance the debugging process throughout software development. It leverages Sentry’s detailed telemetry—such as errors, logs, and metrics—to pinpoint and resolve bugs more effectively. Unlike traditional coding agents that rely heavily on source code analysis, Seer emphasizes runtime behavior and production context. This approach allows it to identify issues that occur under specific conditions, such as network failures or load spikes, providing a more accurate diagnosis. The tool's capabilities extend to local development and code reviews. By connecting to the Sentry MCP server, developers can catch bugs early in the coding process. Telemetry flows from the application to Sentry, allowing Seer to conduct root cause analyses locally. During code reviews, Seer identifies significant defects in pull requests, focusing on genuine risks to production rather than minor stylistic issues. This proactive approach can lead to fewer production incidents and quicker release cycles. For bugs that make it to production, Seer automates root cause analysis using existing telemetry data, enabling it to provide actionable insights. In cases where no specific bug has been flagged, an experimental feature allows users to ask open-ended questions about their data. This can help identify patterns or anomalies that point to underlying issues. Pricing for Seer is now streamlined at $40 per active contributor per month, offering unlimited usage without the hassle of managing seats or overage charges. Active contributors are defined as those who make at least two pull requests in a connected GitHub repository during the month. This model aims to integrate debugging seamlessly across different stages of the development process, from local coding to production.