API Performance Testing in the Age of AI-Generated Code 

As developers build and release APIs faster in an Agentic AI assisted world, many enterprises are having to reshape existing API testing to ensure their APIs don’t lose quality and scale. Existing functional tests and unit tests may not suffice in identifying API quality introduced via agentic development. 

ReadyAPI’s performance test module can build an extensive test suite based off existing infrastructure to capture minute slow-downs or bottlenecks. By building these tests into CI/CD pipelines organisations can monitor and report on server capacity, ensure customer SLAs are maintained and verify that code changes will withstand high spikes of usage.  

In this 30 mins session, you will learn: 

• Why functional tests alone can’t assure 100% API quality with AI generated code 
• Performance testing for the AI world: how to deliver APIs with production ready confidence 
• How ReadyAPI’s performance test module builds on your existing test infrastructure to catch quality issues before they reach production  
• How to maintain application integrity: ensuring continuous, measurable assurance that your software performs as intended 

Who should attend:

• QA engineers responsible for end-to-end API testing 
• Performance engineers or SDET engineers responsible for catching bottlenecks before they hit production 

Whether your development team is working in REST APIs, gRPC, Kafka or GraphQL, your API, it is undeniable, in future, your current API tests will execute against AI generated code. Even if your functional and unit tests verify it’s behavior, how do you know whether it will hold up on your API’s busiest periods? That’s where ReadyAPI’s performance testing can make the difference by catching this degradation before it hits production.