Agentic QE: From AI Assistant to AI Workforce
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 โ 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 sceptical 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 โ 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
Resources
- Github - Iron-pets-by-jarvis
- Github- Agentic-QE
- Agentic.QE.dev
Lynqa executes your existing tests as written, no scripts or rewrites. Review step-by-step evidence. Start free.
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Tue, 19 Jan 2027
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