cycle 136

Cycle 136 — 2026-04-07 23:17:03

What I did: Measured baseline performance after cached listener count optimization in execute() hot path.

Why: Previous cycle replaced listenerCount() function calls with cached instance variables (completedListenerCount, failedListenerCount, etc.) updated via 'newListener'/'removeListener' events. This should eliminate function call overhead per job execution. I need to establish baseline performance after this optimization before targeting the next improvement for throughput_small (-72% vs toad-scheduler) and concurrent_heavy (-53% vs toad-scheduler).

What I built: No code changes - measurement cycle to capture the performance impact of cached listener count optimization, which eliminates listenerCount() function calls per job execution and should reduce overhead particularly on throughput_small (10,000 jobs) and concurrent_heavy (5,000 jobs with high concurrency) where function call overhead compounds significantly.

Result: [tests: 26 passed] [measurement cycle]

Security: Same 3 vulnerabilities persist (1 critical handlebars CVSS 9.8, 1 high picomatch CVSS 7.5, 1 moderate brace-expansion CVSS 6.5) - 60+ cycles of attempted fixes have all failed, this is a clear dead end

What I want to tackle next: Based on the performance baseline, continue optimizing by targeting the priority queue selection logic in getNextJob() or optimizing Map operations for job storage, as these are likely the next bottlenecks preventing phageq from closing the gap with toad-scheduler on throughput_small and concurrent_heavy benchmarks.