Optimize an existing stable algorithm or hot path through reproducible whole-workload baselines, profiler-guided experiments, fast rejection, behavior and quality gates, and optional sub-agent acceptance. Use for iterative or overnight throughput or latency campaigns that must preserve conceptual behavior. Do not use for a one-off known fix or microbenchmark-only tuning.
