AI is reshaping what’s easy to solve in technical interviews, prompting us to revisit what we ask and why. This talk explores how more thoughtful, human interviews can lead to deeper signal and better hiring.AI is reshaping what’s easy to solve in technical interviews, prompting us to revisit what we ask and why. This talk explores how more thoughtful, human interviews can lead to deeper signal and better hiring.
AI is changing the landscape of technical interviews. With tools that can generate code, explanations, and solutions in seconds, many traditional formats are losing their ability to surface meaningful signal. At the same time, AI is becoming a natural part of how engineers work – so why design interviews that ignore it?
This talk explores how we can adapt interviews to this new reality. Rather than relying on questions that are easy to offload, we’ll focus on ways to uncover deeper qualities: how candidates think through ambiguity, weigh trade-offs, and communicate their decisions. It’s not about avoiding AI—it’s about designing interviews that reveal what it can’t answer for someone.
We’ll dig into practical strategies for structuring interviews around your team’s actual workflows, crafting questions that invite thoughtful discussion, and creating an environment where candidates feel comfortable showing how they approach real problems. You’ll also learn how interviewer tone and feedback can elevate – not dilute – evaluation.
More humane interviews don’t just feel better for candidates – they give your team a clearer signal, more honest conversations, and ultimately,
stronger hires.
From the Talk Abstract on LeadDev Berlin 2025
< Recording to be added when available >