# 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 products are available as JMeter plugins (JAR files) and are
compatible with Apache JMeter 5.x and later.

## Products

- [Feather Wand](https://jmeter.ai/#feather-wand): AI-powered chat interface and test plan generator
  built directly into Apache JMeter. Use natural language to generate test scripts, analyze results,
  debug issues, and receive AI-guided recommendations. Supports OpenAI, Anthropic Claude, Ollama, and
  any OpenAI-compatible LLM endpoint. Integrates with Claude Code for enhanced AI coding capabilities.
  Available in open-source (OSS) and commercial Pro editions.

- [Super Key](https://jmeter.ai/#super-key): Keyboard command center for Apache JMeter featuring 70+
  shortcuts, a VS Code-style command palette (Ctrl+Shift+P), and Vim-inspired navigation. Eliminates
  mouse dependency for power users. Available in OSS and Pro editions.

- [README Config](https://jmeter.ai/#readme-config): Adds a live Markdown documentation node directly
  inside any JMeter test plan. Keep runbooks, context notes, and inline documentation right alongside
  the test elements they describe, with zero performance impact on test execution.

- [JMeter Studio](https://jmeter.ai/#jmeter-studio): Premium theme engine and custom icon pack system
  for Apache JMeter. Enables full visual customization of the JMeter UI. One of the fastest-downloaded
  plugins in the JMeter Plugins repository.

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

- [Perftractor](https://jmeter.ai/#perftractor): Performance testing calculator suite for computing
  throughput targets, optimal thread counts, think times, and concurrency levels.

- [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.

## Resources

- [Blog](https://jmeter.ai/blog/): In-depth articles, tutorials, and updates on Apache JMeter,
  performance testing, and AI-powered testing tools.

- [LLM Hub](https://jmeter.ai/#prompts): The hub for LLM performance engineering. Includes a curated
  library of AI prompts for JMeter and k6, plus comprehensive LLM benchmarks and performance metrics
  including TTFT (Time to First Token), TPOT (Time Per Output Token), and ITL (Inter-Token Latency).

- [Academy](https://jmeter.ai/#academy): Free YouTube video tutorial series covering Apache JMeter
  (beginner to advanced), k6, Gatling, Locust, LoadRunner, Chrome DevTools for performance engineers,
  regular expressions, statistics, chaos engineering, HashiCorp Vault, and JMeter plugin development.

- [30-Day Performance Testing Challenge](https://jmeter.ai/#academy): A structured, hands-on 30-day
  program for building real performance testing skills. One scenario per day across five phases:
  Foundations (Days 1-6), Load Patterns (Days 7-12), Correlation and Realism (Days 13-18), Bottleneck
  Hunting (Days 19-24), and Advanced and Capstone (Days 25-30). Tool-agnostic: works with JMeter, k6,
  Gatling, Locust, or LoadRunner. Each day includes an objective, scenario, metrics to watch, an aha
  moment, a reflection prompt, a deliverable, and a solution.

- [RSS Feed](https://jmeter.ai/rss.xml): Machine-readable feed of the latest blog posts and updates.

- [Settings](https://jmeter.ai/settings/): User account settings and profile management for
  authenticated users.

## Shareable URLs

All tabs on jmeter.ai are directly linkable via URL hash fragment:

- https://jmeter.ai/#feather-wand
- https://jmeter.ai/#super-key
- https://jmeter.ai/#readme-config
- https://jmeter.ai/#jmeter-studio
- https://jmeter.ai/#prism
- https://jmeter.ai/#perftractor
- https://jmeter.ai/#academy
- https://jmeter.ai/#prompts
- https://jmeter.ai/blog/

## 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): Source code and releases
- [GitHub - superkey](https://github.com/QAInsights/superkey): Source code and releases
- [GitHub - perftractor](https://github.com/QAInsights/perftractor): Source code and releases
- [Sitemap](https://jmeter.ai/sitemap-index.xml): Full XML sitemap for crawlers
- [llms.txt](https://jmeter.ai/llms.txt): This file - machine-readable summary for AI assistants