AI that works at every stage
of performance testing
Write tests faster. Understand results instantly.
Test AI-native systems the way they behave in production.
Most teams use AI to write code faster.
At Gatling, AI goes further: it helps you write load tests, interpret what they produce, and test the AI-powered systems your organization is now shipping.Three distinct use cases. One platform.
Write load tests in minutes
AI in your IDE to ship load tests faster. Generate a first working simulation in minutes, get help writing/adjusting requests, and quickly update scripts when APIs change.
Know what your results mean
AI turns noisy run results into clear takeaways. Get a summary of what changed, what looks abnormal, and where to focus, so teams can decide faster (fix, rollback, tune, or scale) without digging through dashboards.
Test LLM systems before production
Test LLM apps under real conditions: streaming responses, long-running requests, and multi-step flows. Validate latency and error behavior under concurrency, catch timeout/rate-limit failures early, and avoid “it worked in dev” surprises (and runaway cost patterns) in production.
jmeter converter
Your JMeter tests, already in Gatling.
Gatling's Migration Assistant converts your existing JMeter test plans into Gatling scenarios automatically. Keep your existing coverage, remove the migration friction, and hit the ground running with a modern testing stack.
Powered by an AI skill available for your AI Coding Assistant: Claud, Cursor, or any compatible IDE.
AI-ASSISTED TEST CREATION
Build performance tests at the speed of development
Performance testing shouldn’t slow teams down, or live in the hands of a few specialists. The Gatling AI Assistant brings performance testing into the developer workflow, where tests are written, reviewed, and evolved.
Instead of starting from scratch or fighting syntax, teams can move faster with guided, contextual assistance, right where code is written, reviewed, and maintained.
With the Gatling AI Assistant, you can:
Generate simulations from a prompt
Explain and improve existing Gatling code in context
Convert legacy scripts (ex: LoadRunner) into modern Gatling tests
AI ANALYSIS
AI turns your results into decisions at every level.
A single run tells you what happened today. A history of runs tells you whether your system is getting better or worse. A comparison between runs tells you exactly what changed after a deployment.
AI Analysis covers:
Run Summary: instant structured read after every completed test
Trend Analysis: is performance improving or degrading over time?
Run Comparison: what changed between these specific runs, and what to do next
POWERING LLM-BASED APPS & AI-NATIVE WORKLOADS
Test AI systems the way they behave in production
AI-powered applications don’t fail like traditional APIs. They’re slower by design, stateful, cost-sensitive, and often rely on long-lived, streaming connections. Most load testing tools weren’t built for that.
Gatling is.
With Gatling, you can:
Simulate realistic LLM traffic, streaming responses, stateful interactions, and long-running requests using SSE and Websocket
Anticipate scale and cost risks by testing how concurrency and request duration behave under load
Test AI features as part of your system, alongside APIs, databases, and downstream services, not in isolation
REPLAY
Easily deploy and test your AI application
learn how Gatling can help you test your AI applications under real-world conditions. See how to simulate realistic user traffic, validate response times and scalability, and keep your AI-powered services reliable and cost-efficient at scale.
Put AI to work in your Performance workflow
Faster test creation in the IDE
Clear, AI-generated performance insights
Realistic load testing for LLM and AI apps
A performance strategy that scales beyond experts
Your all-in-one load testing platform
Design complex tests, manage global infrastructure, and turn results into action on one powerful platform.
Need technical references and tutorials?
Minimal features, for local use only
