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Interviewing needs to evolve in an AI (enhanced) world. This talk explores what traditional interviews now miss, which skills matter more than ever, and how we can design pipelines that truly identify engineering potential.
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In a world where AI can help candidates solve coding problems, craft “perfect” answers, and even simulate system design conversations, current interviewing practices are struggling to keep up. If your process is optimized for by-the-book answers, clever tricks, or perfect resumes, it’s likely measuring the wrong things.
In this talk, we’ll explore how AI is reshaping the landscape of technical interviewing and where it leaves critical gaps. We’ll discuss which timeless skills AI can’t replace, like debugging unexpected issues, evaluating trade-offs, or exploring ambiguous problems. We’ll look at why some traditional signals are now weaker signs of success, and share practical ideas for designing interviews that better surface the skills that matter to us.
Whether you’re responsible for hiring one engineer or scaling an entire organization, rethinking your interview process isn’t just important, it’s necessary. This talk will provide you and your team with frameworks and strategies to build a hiring process that’s resilient, fair, and aligned with the realities of 2025 and beyond.
Key takeaways
- Understand how AI tools are impacting traditional technical interviews.
- Identify critical engineering skills that remain and benefit of being human-driven.
- Learn practical strategies to design AI-resilient interview processes, being closer with real-world engineering challenges.
- Explore ideas to improve candidate experience and fairness in hiring.
