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golang-benchmark

Run Go benchmarks with correct methodology and compare results using benchstat.

2|Updated Feb 12, 2024
Search Tags:#benchmarking#go#profiling#pprof#regression-detection#performance-metrics#benchstat
One-click install
npx skills add https://github.com/adibfirman/dotfiles --skill golang-benchmark-adibfirman
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: golang-benchmark
Source: https://github.com/adibfirman/dotfiles/tree/main/claude/.claude/skills/technical/golang/golang-benchmark
Command: npx skills add https://github.com/adibfirman/dotfiles --skill golang-benchmark-adibfirman

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires go, benchstat, and includes references (resource) components.

What problem does it solve?

It eliminates guesswork in Go performance work by turning benchmarking into a statistically rigorous measurement process you can trust.

Core Features & Use Cases

  • Benchmarking workflow: design correct benchmarks (setup isolation, b.Loop() usage, memory reporting) and run them with appropriate flags and repetition.
  • Profiling from benchmark runs: generate CPU, heap, and execution trace artifacts directly from go test -bench runs, then analyze hot paths.
  • Statistical comparison with benchstat: interpret confidence intervals, p-values, and the significance indicator to validate real before/after changes and avoid p-hacking.

Quick Start

Ask the AI to help you write a benchmark for a specific Go function using b.Loop(), run it with -benchmem and -count=10 to produce baseline and optimized result files, and then use benchstat to explain whether any change is statistically significant and what evidence supports the conclusion.

Frequently Asked Questions about golang-benchmark

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write a Go benchmark using b.Loop() to measure performance correctly?▼

To write a Go benchmark correctly, isolate setup logic outside the loop, use b.Loop() for iteration, and enable memory reporting with -benchmem to ensure defensible performance measurement.

How do I generate a CPU or heap profile from a Go benchmark run?▼

Generate CPU and heap profiles from a Go benchmark by running go test -bench with profiling flags, creating artifacts directly from the run to analyze hot paths and execution traces.

How do I interpret benchstat results for Go performance regression detection?▼

Interpret benchstat results for regression detection by analyzing confidence intervals, p-values, and the significance indicator to validate real before/after changes and avoid p-hacking from single runs.

Why are my Go benchmark results inconsistent across multiple runs?▼

Inconsistent Go benchmark results occur when drawing conclusions from single runs; rigorous measurement controls require appropriate iteration counts and running -count=10 to produce statistically defensible comparisons.

Do I need benchstat installed to compare Go benchmark results?▼

Yes, you need benchstat installed to compare Go benchmark results statistically, as it processes baseline and optimized result files to calculate confidence intervals and validate performance changes.

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