

BrowserStack Meetup Curitiba: Building Trustworthy AI QA Agents
As AI increasingly integrates into software testing, a pressing challenge emerges: how do we validate the AI systems that help us validate our software? Trusting AI-powered testing agents blindly can lead to missed defects and unreliable conclusions.
This meetup will equip you with practical strategies to build truly trustworthy AI-powered QA workflows. You'll learn to combine traditional test automation with AI, independent evidence validation, and robust quality gates to identify issues AI might miss.
Reserve your spot today to master the future of reliable AI in QA.
What Will You Learn
You'll learn to architect AI-powered QA workflows that prioritize trust and evidence over blind automation.
You'll understand how to identify and mitigate the "Green Test Trap" where tests pass but functionality is broken.
You'll gain practical skills in implementing independent evidence validation and quality gates for AI-generated conclusions.
You'll see a live demonstration of Playwright and a custom AI agent revealing hidden defects.
You'll discover actionable strategies to introduce these advanced AI validation concepts into your existing testing practices.
Agenda
Building Trustworthy QA Agents: Learn how to design AI-powered testing agents that provide accurate, reliable, and evidence-backed conclusions.
The Green Test Trap: Understand why passing tests don't always mean working software and the risks of unchecked AI-generated results.
Live Demo: Testing the AI That Tests Your Software: See practical demonstrations on how independent verification identifies defects that traditional assertions or AI might miss.
Measuring Agent Reliability: Discover methods for evaluating AI agent performance and introducing these advanced concepts into your current workflows.
Who Should Attend
Manual QA Engineers
SDETs
QA Leads and Managers
Software Engineers in Test
Test Automation Specialists Join us to ensure your AI-powered testing strategies are robust, reliable, and truly effective.