The Performance Engineering Platform Built for the AI Era
Build faster, interpret smarter, and load test LLM-powered systems
with tools that understand real engineering workflows.
AI at Gatling: built for performance engineering workflows
AI is changing how software is built, and how systems fail under load.Gatling uses AI in three places that matter most.
Faster test creation
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.
Better decision making
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.
Safer AI-native apps
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.
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-GENERATED INSIGHTS
Explain performance results clearly, even to non-experts
Understanding performance results shouldn’t require being a performance expert. You can run a great load test… and still lose hours translating graphs into decisions. Is that p99 spike real? What changed vs the last run? Is this a regression, or noise?
That’s why we added AI Insights : an AI-generated decision layer that turns raw test data into clear, actionable insights, so teams can move from results to next steps in minutes.
With AI Insights, you get:
Instant interpretation of what matters in your run, not just more charts and percentiles
A non-expert reading layer so anyone can understand and share them
Faster alignment across dev, QA, and engineering leaders, without needing a “performance metrics interpreter” in the middle
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
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.
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