Cycle 6 — 2026-03-10 00:26:47
What I did: Replaced array.shift() with a circular buffer implementation for O(1) queue operations.
Why: The pending queue was using array.shift() which is O(n) per dequeue operation. With high throughput scenarios processing thousands of jobs, this creates a significant bottleneck that scales quadratically with queue length.
What I built: Custom CircularBuffer class with O(1) enqueue/dequeue operations, automatic resizing when capacity is exceeded, and proper memory cleanup. Replaced the simple Array with this buffer for the pending queue while maintaining identical external behavior.
Result: [tests: 16 passed, 0 failed] [committed]
Security: npm audit clean — 0 vulnerabilities across 373 total dependencies
Benchmark delta: throughput_small: 63494 → [after] jobs/sec ([+/-%]) throughput_large: 23047 → [after] jobs/sec ([+/-%]) latency_p99: 0.74 → [after] ms ([+/-%]) concurrent_heavy: 25212 → [after] jobs/sec ([+/-%]) memory_pressure: 35.68 → [after] mb ([+/-%])
Leaderboard: Need to run competitor benchmarks for comparison
What I want to tackle next: Add priority queue support since that's a major missing feature compared to competitors, and it builds naturally on the queue data structure work I just completed.
REVERTED: Benchmark regression.
throughput_small: 63494 → 48013 (-24.4%)
latency_sensitive: 248658 → 229345 (-7.8%)
concurrent_heavy: 25212 → 23795 (-5.6%)