The text outlines a sophisticated system designed to improve the efficiency of bug tracking within a CI environment by grouping crash reports through stack trace similarity. This method addresses the challenge of distinguishing new bugs from known ones by leveraging a process of parsing and cleaning crash reports, calculating stack trace similarity, and grouping similar traces. Developed initially by Michael Stetsyuk for ClickHouse Cloud, the system uses ClickHouse to collect and analyze data while maintaining performance by separating collection and analysis on different clusters. The process involves cleaning stack traces to remove noise, grouping identical traces, and calculating similarity to identify significant new traces, which are then used to create or update GitHub issues. The system benefits from automatic updates and integration with GitHub, providing a streamlined approach to bug management and inviting collaboration through open issues labeled with "crash-ci."