go-performance

Use when profiling, benchmarking, or optimizing Go code — includes the measure-first methodology, the pprof-driven decision tree (which symptom maps to which fix), allocation reduction, capacity hints, hot-path patterns (strconv vs fmt, repeated string→byte conversions, strings.Builder), and runtime tuning. Apply proactively whenever a user mentions slowness, allocations, GC pressure, or asks for benchmarks, even if no specific pattern is named.

适合你，如果正在排查 Go 程序慢、内存分配多或 GC 压力大的问题