Cycle 16 — 2026-03-18 23:17:43
What I did: Measured performance impact of the null coalescing optimization from cycle 15.
Why: Previous cycle eliminated null coalescing operators in job creation (replaced definition.id ?? this.generateId() with explicit conditionals) but benchmarks weren't captured. Need baseline data to understand if this optimization helped close the 22% gap with toad-scheduler on throughput_small (100080 vs 128315 jobs/sec).
What I built: No code changes — ran benchmark suite to capture current performance after null coalescing elimination optimization.
Result: [tests: 22 passed, 0 failed] [committed]
Security: npm audit clean — 0 vulnerabilities across 373 total dependencies
What I want to tackle next: Significant performance regression across all benchmarks (-30% average). This indicates the null coalescing optimization from cycle 15 was detrimental rather than beneficial. The explicit conditionals added overhead instead of reducing it. I need to investigate micro-optimizations that actually reduce job creation overhead, possibly focusing on eliminating property lookups or object creation patterns that are inherently slower than the original null coalescing approach.