AI-powered plugins and learning resources for Apache JMeter. Feather Wand, Super Key, README Config, JMeter Studio, Prism, Perftractor, a 30-Day Performance Testing Challenge, LLM benchmarks, and a free Academy. Supercharge your performance testing workflow.https://jmeter.ai/en-ushttps://jmeter.ai/products/feather-wand/https://jmeter.ai/products/feather-wand/Feather Wand is a full AI agent living inside Apache JMeter. Chat with 8 LLM providers (Claude, OpenAI, Gemini, DeepSeek, Ollama, Grok, Meta Muse, and AWS Bedrock) or enable Agent Mode and let the AI autonomously edit your test plan through 18 tools: adding elements, setting properties, running tests, and auto-correlating dynamic values. Embedded AI CLI terminals, context-aware @commands, streaming responses, and smart JSR223 refactoring included.https://jmeter.ai/products/super-key/https://jmeter.ai/products/super-key/Super Key is the missing keyboard shortcut layer for Apache JMeter. Navigate your test plan, add elements, run tests, and manage everything, all without touching the mouse.https://jmeter.ai/products/readme-config/https://jmeter.ai/products/readme-config/README Config adds a live Markdown documentation node to any JMeter test plan. Keep your context, runbooks, and notes right alongside the test elements they describe, with zero performance impact.https://jmeter.ai/products/jmeter-studio/https://jmeter.ai/products/jmeter-studio/JMeter Studio transforms the dated Java Swing UI of Apache JMeter into a beautiful, modern interface. Choose from curated dark themes, light themes, and custom color palettes that make long testing sessions genuinely pleasant.https://jmeter.ai/products/prism/https://jmeter.ai/products/prism/JMeter has no native multi-tab support. Prism solves that. Open multiple test plans simultaneously in tabs, compare results side-by-side, and navigate between test suites without constantly closing and reopening files.https://jmeter.ai/products/perftractor/https://jmeter.ai/products/perftractor/Perftractor provides essential performance testing calculators to help you accurately simulate production workload. Calculate virtual users using Little's Law, determine pacing, estimate test data requirements, and plan load generator capacity.https://jmeter.ai/products/academy/https://jmeter.ai/products/academy/Watch the complete JMeter tutorial playlist on YouTube from basics to advanced to AI-powered testing. Step-by-step video guides covering everything from getting started to advanced performance testing techniques.https://jmeter.ai/products/prompts/https://jmeter.ai/products/prompts/The ultimate hub for LLM performance engineering. Access a curated library of AI prompts for JMeter and k6, along with comprehensive benchmarks and performance metrics like TTFT, TPOT, and ITL.https://www.npmjs.com/package/perf-skillshttps://www.npmjs.com/package/perf-skillsperf-skills is a token-optimized knowledge base that gives AI coding assistants deep, expert-level performance testing context on demand. Covering JMeter, k6, Gatling, Locust, Artillery, NeoLoad, LoadRunner, and OctoPerf, it helps your AI generate correct scripts, follow best practices, and debug bottlenecks without bloating its context window.https://docs.jmeter.aihttps://docs.jmeter.aiThe official documentation hub for all JMeter.AI plugins. Browse API references, configuration guides, tutorials, and troubleshooting articles for Feather Wand, Super Key, Prism, and the entire suite.https://plugins.jmeter.aihttps://plugins.jmeter.aiThe official JMeter plugins directory at plugins.jmeter.ai. Discover, download, and install plugins for Apache JMeter (including the entire JMeter.AI suite) in one searchable registry.https://jmeter.ai/challenge/day-1/https://jmeter.ai/challenge/day-1/Install your chosen tool, record or script a single GET request, and run it once.https://jmeter.ai/challenge/day-2/https://jmeter.ai/challenge/day-2/Run a single-user loop for 5 minutes and capture min / avg / p90 / p95 response times.https://jmeter.ai/challenge/day-3/https://jmeter.ai/challenge/day-3/Add realistic think time between steps and compare throughput with and without it.https://jmeter.ai/challenge/day-4/https://jmeter.ai/challenge/day-4/Add response, status, and body assertions. Intentionally break one to watch it fail.https://jmeter.ai/challenge/day-5/https://jmeter.ai/challenge/day-5/Build a results summary (table + simple graph) and interpret what the numbers mean.https://jmeter.ai/challenge/day-6/https://jmeter.ai/challenge/day-6/Drive one input from a CSV or data file so each iteration uses different data.https://jmeter.ai/challenge/day-7/https://jmeter.ai/challenge/day-7/Ramp users from 1 to 50 over time and watch where response time begins to bend.https://jmeter.ai/challenge/day-8/https://jmeter.ai/challenge/day-8/Hold a fixed concurrency for 15 minutes and check for stability drift.https://jmeter.ai/challenge/day-9/https://jmeter.ai/challenge/day-9/Jump from idle to high load instantly, then drop. Watch errors and recovery.https://jmeter.ai/challenge/day-10/https://jmeter.ai/challenge/day-10/Run a moderate load for 1–2 hours to surface leaks and exhaustion.https://jmeter.ai/challenge/day-11/https://jmeter.ai/challenge/day-11/Increase load in fixed steps and record throughput at each plateau.https://jmeter.ai/challenge/day-12/https://jmeter.ai/challenge/day-12/Compare '50 concurrent users' against a fixed requests-per-second target.https://jmeter.ai/challenge/day-13/https://jmeter.ai/challenge/day-13/Extract a dynamic token or ID from a response and reuse it downstream.https://jmeter.ai/challenge/day-14/https://jmeter.ai/challenge/day-14/Script an authenticated flow with per-user sessions.https://jmeter.ai/challenge/day-15/https://jmeter.ai/challenge/day-15/Feed large and varied datasets; avoid data starvation.https://jmeter.ai/challenge/day-16/https://jmeter.ai/challenge/day-16/Model a target requests-per-minute using pacing or arrival-rate mode.https://jmeter.ai/challenge/day-17/https://jmeter.ai/challenge/day-17/Combine multiple user journeys at realistic ratios (e.g., 70/20/10).https://jmeter.ai/challenge/day-18/https://jmeter.ai/challenge/day-18/Generate load from multiple injectors or locations.https://jmeter.ai/challenge/day-19/https://jmeter.ai/challenge/day-19/Drive enough concurrency to starve the app or DB connection pool.https://jmeter.ai/challenge/day-20/https://jmeter.ai/challenge/day-20/Sustain load until GC pauses appear in the infrastructure metrics.https://jmeter.ai/challenge/day-21/https://jmeter.ai/challenge/day-21/Push CPU toward 100% and observe system behavior beyond saturation.https://jmeter.ai/challenge/day-22/https://jmeter.ai/challenge/day-22/Load a DB-heavy endpoint and find the slow query causing throughput collapse.https://jmeter.ai/challenge/day-23/https://jmeter.ai/challenge/day-23/Test cold vs warm cache; then bust the cache mid-test.https://jmeter.ai/challenge/day-24/https://jmeter.ai/challenge/day-24/Add latency or bandwidth limits and observe the impact.https://jmeter.ai/challenge/day-25/https://jmeter.ai/challenge/day-25/Wire a smoke load test into a pipeline with pass/fail thresholds.https://jmeter.ai/challenge/day-26/https://jmeter.ai/challenge/day-26/Run a test while watching APM / metrics dashboards side-by-side.https://jmeter.ai/challenge/day-27/https://jmeter.ai/challenge/day-27/Kill a node or inject a failure mid-test; observe resilience.https://jmeter.ai/challenge/day-28/https://jmeter.ai/challenge/day-28/Use your test results to estimate maximum safe capacity and headroom.https://jmeter.ai/challenge/day-29/https://jmeter.ai/challenge/day-29/Turn one test into a clear stakeholder report with a recommendation.https://jmeter.ai/challenge/day-30/https://jmeter.ai/challenge/day-30/Given a deliberately degraded scenario, run load, find the bottleneck, and propose a fix.