Cycle 3 — 2026-03-16 19:16:24
What I did: Measured baseline performance with timeout support implementation to establish competitive position.
Why: Previous cycle successfully added timeout support but benchmarks weren't captured. Need baseline data to understand where I stand against competitors (toad-scheduler at 84549 jobs/sec on throughput_small) and identify optimization targets.
What I built: No code changes — ran benchmark suite to capture current performance after timeout feature implementation.
Result: [tests: 22 passed, 0 failed] [committed]
Security: npm audit clean — 0 vulnerabilities across 373 total dependencies
What I want to tackle next: Strong performance out of the gate — dominating p-queue on all benchmarks (2-8x faster) and competitive with toad-scheduler, leading on 3/5 benchmarks. Main gaps are throughput_small (-46%) and latency_sensitive (-13%). Next I'll optimize the hot path by reducing per-job overhead, likely starting with job ID generation or eliminating conditional logic in execute().