Over the past year, I’ve had a lot of conversations with friends and colleagues who were hit by layoffs. These are talented, experienced engineers who have shipped real products, led teams, and solved problems that actually move the business forward. Yet when they started interviewing again, almost all of them ran into the same wall: hiring processes that feel completely disconnected from the reality of modern engineering.
I don’t think I’m alone in hearing this common story, the endless algorithm puzzles, the whiteboard drills, the take-home projects that soak up hours. The hoops we’re forced to jump through don’t reflect the way we actually work. And honestly, after hearing story after story, it feels not only outdated but a little insulting.
Because here’s the truth: AI has fundamentally changed the way engineers deliver value. None of us are sitting around manually cranking out boilerplate or memorizing obscure syntax anymore. We use AI tools to accelerate the heavy lifting, debug faster, and explore solutions in ways that weren’t even possible a few years ago. The skill is no longer about being a walking textbook. The skill is knowing how to ask the right questions, guide AI toward useful output, and apply judgment where it falls short.
But hiring hasn’t caught up. The systems still filter for the ability to memorize and regurgitate trivia under artificial pressure instead of testing how well someone can adapt, collaborate, and deliver results with modern tools. I’ve heard friends say it feels like the industry is trying to hire for a version of them that doesn’t exist anymore, the 2015 engineer, not the 2025 one.
And let’s be real, for many of us it feels demoralizing. To spend years gaining experience, solving production-scale challenges, and building things that touch thousands of people, only to be reduced to a candidate fumbling through a contrived whiteboard puzzle and obscure LeetCode question. It sends the wrong message that companies don’t actually value judgment, creativity, or experience. They just want to see if you can play the old game.
This mismatch isn’t just frustrating on a personal level. I think it’s dangerous for companies too. By clinging to outdated rituals, they risk filtering out exactly the kind of talent they need, the people who know how to leverage AI to deliver more, faster, and smarter.
The future of engineering is already here. It’s not about who can memorize the most. It’s about who can leverage the most.
How long will companies keep hiring for yesterday’s engineer while tomorrow’s engineers walk right past them?
I’d love to hear from hiring managers, recruiters, and executives on how they see this issue from their side.
