When
2026-05-07T14:00:00
2026-05-07T14:00:00
Duration
60
Presenters
Yousaf Nabi
Developer Advocate
SmartBear
Justin Collier
Senior Director, Product Management
SmartBear
Presenters
Yousaf Nabi
Developer Advocate
SmartBear
Justin Collier
Senior Director, Product Management
SmartBear
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?
- Strategies to bridge the gap between AI-generated code and scalable API testing
- How AI can execute complex, high-volume API test scenarios beyond human limits
- Ways to reduce technical debt by moving from automation to autonomy
- How developers and QA can collaborate using AI to improve quality outcomes
- A forward-looking view of MCP, AI agents, and the autonomous API testing lifecycle