Technical Interviews Built for 2025

Hacker News

Hey HN, The way we hire engineers made sense in 2015. But in 2025, when engineers use AI tools daily, we're still testing algorithm memorization on whiteboards.. That's why we're building DevDay. DevDay is built for the new reality of modern engineering work: candidates collaborate with AI teammates, delegate tasks to AI agents, and solve problems using the tools they'd actually use on the job (LLMs, git, and Slac(k) for team communication). The old interview playbook is fundamentally broken: - Whiteboard anxiety tests don't predict performance - Take-home tests and virtual paired programming get gamed with ChatGPT - Algorithm memorization has zero correlation with debugging prod issues (what you actually deal with in your day to day work) Here is what we are not: X Another LeetCode clone with AI buzzwords X Replacing engineers with AI X "Disrupting" hiring with magic algorithms What it actually does: - Tests AI collaboration skills (AI teammates, delegate task to agents, coding assistant integrations) - Simulates real team environments and workflows - Shows problem-solving approach, collaboration and behavioral skills, not memorized solutions - Assesses how candidates think and communicate Questions for HN because we are genuinely curious: - Do you assess engineers who work with AI daily? If yes, how do you do it today? - What would technical interviews look like if designed today within your organisation? - Are we testing skills that matter in 2025? Link: trydevday.com P.S. - Yes, someone will suggest "just pair program" or "check their GitHub." Great for small teams, doesn't scale when hiring 10+ engineers monthly.

Visit product View on Hacker NewsMay 29, 2025

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best fitHighest predicted score across all platforms for this description.

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53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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