Agentic QE: From AI Assistant to AI Workforce
A paradigm shift from using AI as a coding assistant to directing AI agents as an intelligent workforce
With Dragan Spiridonov
AI is accelerating development at a pace never seen before. Testers face a choice: become the bottleneck, or evolve how they work.
This masterclass introduces Agentic Quality Engineering — a paradigm shift from using AI as a coding assistant to directing AI agents as an intelligent workforce.
Through live demonstration with a real e-commerce application, you'll see how agents handle requirements analysis, test design, and exploratory investigation while testers focus on what humans do best: judgment, context, and decisions that matter.
Whether you're skeptical about AI hype or eager to experiment, you'll leave understanding what's actually possible today and how to take your first practical steps.
Outcomes/Takeaways:
- Understand the fundamental difference between AI copilot tools and Agentic Engineering approaches — and why it matters for testers
- See a practical demonstration of agents performing real QA tasks: requirements analysis, test design, and exploratory testing support
- Get new ideas on where to start experimenting with agents in your own testing work tomorrow
