Developed an automated crash bug tracking and notification rule for the mozilla/bugbot repository, focusing on improving post-fix crash monitoring and release quality. Leveraged Python scripting and automation to identify crash bugs that persisted on Nightly builds after a fix, enabling earlier detection and triage by integrating proactive notifications into the development workflow. The solution enhanced visibility into crash regressions, streamlining the bug triage process and supporting faster resolution. Work centered on data analysis and bug tracking, with a single feature delivered during the period. The approach demonstrated a methodical application of automation to address ongoing stability issues in software releases.