# JMeter.AI - Performance Intelligence Suite

> AI-Powered Tools and Plugins for Apache JMeter. Supercharge your performance testing workflow.

JMeter.AI is a platform built by NaveenKumar Namachivayam (QAInsights) providing AI-powered plugins,
tools, and learning resources for Apache JMeter - one of the world's most popular open-source
performance testing frameworks. All plugins are available in the official JMeter Plugins Manager
and as open-source projects on GitHub, compatible with Apache JMeter 5.x and later.

## Products

- [Feather Wand](https://jmeter.ai/products/feather-wand/): A full AI agent living inside Apache
  JMeter (MIT license). Chat with 8 LLM providers - Claude, OpenAI, Gemini, DeepSeek, Ollama,
  Grok, Meta Muse, and AWS Bedrock. Agent Mode autonomously edits the test plan through 18 tools:
  adding elements, setting properties, running tests, and auto-correlating dynamic values
  (Claude & OpenAI). Includes embedded AI CLI terminals (Claude Code, OpenAI Codex, OpenCode,
  Antigravity, Grok CLI), context-aware @commands (@this, @testplan, @optimize, @lint, @wrap,
  @code, @usage), token-by-token streaming, and smart JSR223 refactoring.
  Plugins Manager ID: feather-wand-jmeter-ai-agent.

- [Super Key](https://jmeter.ai/products/super-key/): Keyboard command center for Apache JMeter
  featuring 70+ shortcuts, a VS Code-style command palette (Ctrl+Shift+P), and Vim-inspired
  navigation. Plugins Manager ID: superkey. OSS and Pro editions.

- [Prism](https://jmeter.ai/products/prism/): Multi-tab interface plugin for Apache JMeter that
  enables simultaneous editing of multiple test plans, like browser tabs for JMeter.
  Plugins Manager ID: prism.

- [JMeter Studio](https://jmeter.ai/products/jmeter-studio/): Theme engine for Apache JMeter with
  dark mode, 10+ curated FlatLaf themes, icon packs, and font customization.
  Plugins Manager ID: jmeter-studio-oss.

- [README Config](https://jmeter.ai/products/readme-config/): Adds a live Markdown documentation
  node directly inside any JMeter test plan, with zero performance impact on test execution.
  Free and MIT-licensed. Plugins Manager ID: readme-config-element.

- [Perftractor](https://jmeter.ai/products/perftractor/): Free performance testing calculator suite
  for computing virtual users (Little's Law), pacing, test data requirements, load generator
  capacity, and network bandwidth.

- [perf-skills](https://jmeter.ai/products/perf-skills/): Token-optimized AI skill / knowledge base
  covering JMeter, k6, Gatling, Locust, Artillery, NeoLoad, LoadRunner, and OctoPerf.
  Install via npm (perf-skills) or as a Claude Code plugin.

- [JMeter MCP](https://github.com/QAInsights/jmeter-mcp): Model Context Protocol (MCP) server that
  integrates Apache JMeter with AI models and AI coding assistants such as Claude, Cursor, and
  Windsurf.

## Learn

- [30-Day Performance Testing Challenge](https://jmeter.ai/challenge/): Tool-agnostic, hands-on
  challenge - one scenario per day with objectives, metrics, solutions, and deliverables.
  Each day has its own page: https://jmeter.ai/challenge/day-1/ through
  https://jmeter.ai/challenge/day-30/.

- [Academy](https://jmeter.ai/products/academy/): Free video playlists covering JMeter, k6, Gatling,
  Locust, LoadRunner, performance engineering, statistics, chaos engineering, Chrome DevTools,
  and JMeter plugin development.

## Calculators

Free, browser-based performance testing calculators - each with formulas, explainers, and FAQs:

- [Virtual Users (Little's Law)](https://jmeter.ai/calculators/virtual-users/)
- [Pacing](https://jmeter.ai/calculators/pacing/)
- [Test Data](https://jmeter.ai/calculators/test-data/)
- [Load Generator Sizing](https://jmeter.ai/calculators/load-generator/)
- [Network Bandwidth](https://jmeter.ai/calculators/bandwidth/)

## AI Prompts (LLM Hub)

Copy-ready prompt templates for performance engineers using ChatGPT, Claude, or other LLMs:

- [All categories](https://jmeter.ai/prompts/): test planning, workload design, JMeter/k6/Gatling
  script generation, correlation, test data, assertions, CI/CD, results analysis, observability,
  API/database/WebSocket/gRPC testing, distributed execution, reporting, troubleshooting,
  production testing, Groovy scripting, best practices, Kafka, browser testing, and chaos
  engineering. Each category has its own page under https://jmeter.ai/prompts/<category>/.

## Machine-Readable Resources

- [skill.md](https://jmeter.ai/skill.md): Canonical JMeter skill for AI agents - test plan
  structure, thread groups, correlation, Groovy scripting, distributed testing, CI/CD, and the
  QAInsights plugin suite with install commands.
- [ai-agent.json](https://jmeter.ai/.well-known/ai-agent.json): Agent manifest describing
  capabilities and the tool suite.
- [Sitemap](https://jmeter.ai/sitemap-index.xml): Full XML sitemap for crawlers.
- [RSS](https://jmeter.ai/rss.xml): Feed of products and challenge days.

## About

JMeter.AI is maintained by NaveenKumar Namachivayam, a performance engineering expert, open-source
contributor, and content creator.

- **Author**: NaveenKumar Namachivayam
- **Website**: https://qainsights.com
- **GitHub**: https://github.com/QAInsights
- **Twitter / X**: https://twitter.com/QAInsights
- **YouTube**: https://youtube.com/@QAInsights
- **LinkedIn**: https://linkedin.com/in/naveenkumarn

## Source Repositories

- [GitHub - jmeter-ai (Feather Wand)](https://github.com/QAInsights/jmeter-ai)
- [GitHub - superkey](https://github.com/QAInsights/superkey)
- [GitHub - prism](https://github.com/QAInsights/prism)
- [GitHub - jmeter-studio](https://github.com/QAInsights/jmeter-studio)
- [GitHub - jmeter-readme-config](https://github.com/QAInsights/jmeter-readme-config)
- [GitHub - perf-skills](https://github.com/QAInsights/perf-skills)
- [GitHub - perftractor](https://github.com/QAInsights/perftractor)