Application Stability and Memory Management

Introduced systems for observability on crashes and memory pressure, high-confidence fixes and optimizations for hot paths, and guardrails to catch regressions before they ship. Implemented dual debugging strategies (top-down and bottom-up) involving crash stack analysis, heap snapshots, and continuous heap allocation profiling. Developed targeted mitigations for acute and slow-and-steady OOMs, and leveraged process isolation for extension stability. Focused on preventing regressions through Bugbot rules, skills for stress testing, and eliminating footguns by replacing manually managed resources with garbage collection. Automated rollbacks on metric regressions are also employed.