Seer: debug with AI at every stage of development

Seer is an AI-powered debugging agent developed to enhance software development by providing insights into bugs at every stage, from local development to production. Built on the principle that understanding production context is crucial for diagnosing complex software failures, Seer utilizes Sentry's detailed telemetry, including errors, logs, and metrics, to accurately identify root causes and fix bugs. Unlike traditional debugging methods that rely on code analysis alone, Seer can observe runtime behavior, which is essential in distributed systems where failures often occur across network boundaries. The tool offers expanded capabilities to assist developers in debugging during local development, catching defects in code reviews, and automating root cause analysis in production. Seer's new feature also allows users to investigate less structured issues by querying telemetry data to identify patterns and anomalies, with a simplified pricing model of $40 per active contributor per month for unlimited use. This approach aims to reduce incidents, speed up releases, and minimize production debugging time by integrating seamlessly into the development workflow and code review process.