BrowserStack Meetup Portland: Validating AI That Tests Your Software
As AI becomes more integrated into software testing, a critical question emerges: How do we validate the AI systems that help us validate our software? Ensuring AI-powered testing agents deliver accurate, reliable conclusions, backed by evidence, is paramount. This meetup addresses that challenge head-on.
Join us to explore building trustworthy AI-powered QA workflows. We will cover independent evidence validation, quality gates, and see a live demo of how critical issues can be identified even when traditional assertions or AI conclusions might miss them. Reserve your spot today to future-proof your testing strategy.
What Will You Learn
You'll understand the 'Green Test Trap' and why passing tests don't always mean working software.
You'll learn how to build trustworthy AI-powered QA workflows using evidence validation.
You'll discover how to set up independent validators and quality gates to enhance reliability.
You'll see a live demonstration of identifying hidden defects that traditional or AI assertions might miss.
You'll gain practical strategies for measuring AI agent reliability and integrating these techniques into your processes.
Agenda
Understanding why 'green tests' can still hide defects and the risks of blindly trusting AI-generated conclusions.
Identifying common challenges in AI-powered testing, such as incorrect diagnoses and unreliable decisions.
Learning to architect trustworthy QA agents using evidence-driven principles, independent validators, and quality gates.
Witnessing a live demo showcasing how independent verification uncovers issues that traditional and AI testing might miss.
Gaining actionable practices to measure AI agent reliability and integrate these concepts into your existing QA workflows.
Who Should Attend
Manual QA Engineers
SDETs
QA Leads and Managers
Test Automation Architects
Engineering Managers
If you're serious about the future of software quality, you'll want to reserve your spot.