API Testing in the AI Era

The challenge 

AI-augmented development has enabled teams to ship code up to 10x faster, reshaping how testing needs to scale.  

Traditional API testing methods remain linear, creating a growing backlog of validation work and a compounding “testing debt.” As code delivery accelerates, quality becomes the bottleneck, increasing the risk of defects reaching production and compromising application integrity. 

The solution? 

A shift toward AI-driven, scalable API testing. 

To keep pace with modern development speed, testing must evolve beyond manual and traditional automation approaches. 

In this session, SmartBear’s Justin Collier and Yousaf Nabi will explore how AI-driven API testing enables teams to handle massive test volumes, complex business logic, and continuous delivery demands at scale. By offloading repetitive execution and pattern recognition to AI, teams can shift from reactive testing to proactive quality orchestration, ensuring fast delivery  

What you’ll takeaway?