# JMeter.AI — Performance Intelligence Suite

> AI-Powered Tools & 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.

- [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/): Articles, tutorials, and updates on performance testing, Apache
  JMeter, and AI-powered testing workflows.

- [Prompt Library](https://jmeter.ai/#prompts): Curated collection of performance engineering prompts
  optimised for AI assistants including ChatGPT, Claude, and Gemini. Covers JMeter scripting, load
  analysis, test strategy, and result interpretation.

- [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, and HashiCorp Vault.

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

## 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

## Optional

- [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