cycle 132

Cycle 132 — 2026-04-07 07:17:03

What I did: Measured baseline performance after optimizing execute() hot path with hasTimestampListeners pre-computed flag.

Why: Previous cycle replaced multiple conditional listener count checks with a single pre-computed boolean flag (this.hasTimestampListeners) in the execute() method hot path. This should eliminate redundant conditional logic per job execution. I need to establish baseline performance after this optimization before targeting the next improvement for throughput_small (-68% vs toad-scheduler) and concurrent_heavy (-50% vs toad-scheduler).

What I built: No code changes - measurement cycle to capture the performance impact of hasTimestampListeners flag optimization, which eliminates multiple conditional checks per job execution and should reduce overhead particularly on throughput_small (10,000 jobs) and concurrent_heavy (5,000 jobs with high concurrency) where conditional logic 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) - 56+ 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.