A structured debugging assistant that helps you find root causes fast — ranks likely causes by probability, tells you exactly what to check to confirm, and explains the fix so you avoid repeating the same bug.
Finds flaky tests from repeated CI runs: parses JUnit XML or a CSV run history, flags tests that both pass and fail (confirmed when on the same commit), ranks them by flip and failure rate, and suggests likely causes and fixes. Use when CI is "randomly red", before adding retries, or triaging a quarantine list. Includes a stdlib Python detector with --self-test.
Provides base R programming guidance covering data structures, data wrangling, statistical modeling, visualization, and I/O, using only packages included in a standard R installation