Uploaded April 2026 | Updated September 2026, 2 weeks ago
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The A/B test! We've all thought it: "What's the point? How much configuration do we need?" If you're familiar with the scientific method, those steps carve out the path to experimentation and A/B testing. Everyone loves a good hypothesis right? I know I do. Melding the world of science and software can help alleviate the stresses of experiments and help to maximize impact of every feature. In this talk we will journey through what an A/B test is, defining goals for A/B testing your app, and rolling out features based on successful experiments.
Please subscribe to our YouTube channel @ youtube.com/@DevoxxForever
Subscribe to LinkedIn @ linkedin.com/company/voxxed-days-amsterdam
Follow us on Twitter @ twitter.com/voxxedamsterdam
The A/B test! We've all thought it: "What's the point? How much configuration do we need?" If you're familiar with the scientific method, those steps carve out the path to experimentation and A/B testing. Everyone loves a good hypothesis right? I know I do. Melding the world of science and software can help alleviate the stresses of experiments and help to maximize impact of every feature. In this talk we will journey through what an A/B test is, defining goals for A/B testing your app, and rolling out features based on successful experiments.
![[VDBUH2026] Victor Rentea - Kenote: AI Didn’t Replace You. It Promoted You!](https://i.ytimg.com/vi/5hVlf9_G71Q/mqdefault.jpg "[VDBUH2026] Victor Rentea - Kenote: AI Didn’t Replace You. It Promoted You!
We’ve always been rewarded for writing code, debugging systems, and mastering frameworks. But today, AI no longer just assists – it builds, analyzes, debugs, and reasons, so our role gets upgraded to shaping systems, taking decisions, and achieving outcomes. But as our attention moves away from code, how can we remain in control and keep the quality high? That’s the tension many senior engineers feel. This talk explores how AI agents can offload our chores, preserve our mental energy, and amplify our impact across the system—distilling lessons from early adopters of agentic engineering.
But this is not a talk about tools. It’s a talk about identity.
Because the real question today isn’t: “Will AI change my job?”
It’s: “Will I evolve fast enough to stay relevant?”")
