AI in Action — Session #17: We Built an AI Agentic System to Automate Product QA. Here’s How.
Learn how a developer at FlytBase built a full-stack QA system—using four AI agents—to test complex, event-driven systems.
We replaced reactive test writing with autonomous QA cycles that learn, write, simulate, and validate. No more brittle scripts. No more manual test cycles. Just AI loops shipping test cases while you sleep.
🛠️ What We'll Demo:
The Four-Agent System: Test Generator, Test Writer, Executor, and Simulation Agent—each automating the testing pipeline.
Before vs. After: Watch how we cut test execution time and boosted coverage in high-frequency environments.
Live Walkthrough: Real workflows - what worked, what failed, how we made it work.
📦 What You'll Take Away:
How we designed the agent roles and avoided over-engineering
Why RAG, BDD, and observability were non-negotiable
How to accelerate your journey to an AI-native QA system
Steal everything we know, come tell us what you've experimented with - let's all learn together get ready for the AI tsunami.
👀 Who Should Attend:
QA engineers, developers, and product teams working on real-time or event-driven systems.
Join if you’re tired of fragile scripts and want to build systems that adapt.
🔴 This is neither a “what if” session, nor a "look at this cool AI tool" session. It’s “how we shipped at AI speed in a enterprise-grade product" talk.
👉 Join us to see AI-native QA in action.
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