Generative AI hasn’t killed technical hiring. It just exposed which parts of it were already broken.
Coding screens that test syntax recall and algorithm trivia? Those were always a weak signal. Now they’re basically noise. A well-prompted model breezes through them. If that’s still your bar, you’re filtering for the wrong thing.
But here’s what hasn’t changed: great engineers still think differently. They reason through ambiguity. They make trade-offs under constraints. They know when to build and when to borrow. No AI tool does that for you and no interview format exposes it better than a well-run system design session or a realistic coding assessment that mirrors actual work.
The keyword is realistic. A realistic, take-home project that asks candidates to implement a feature, debug a gnarly issue, or extend an existing codebase? That works. Those tasks require judgment, not just syntax. The formats that are dying are the ones AI can short-circuit without breaking a sweat.
Where the real signal lives now
System design interviews have become one of the most defensible tools in the kit because they’re genuinely hard to fake. When you ask someone to design a messaging system or a rate limiter, you’re watching how they think: do they clarify before they build? Can they size a problem? Do they understand failure modes, not just happy paths?
The best interviewers are also evolving the format itself. Ask a candidate to design the system, then build the most critical component in the same session with AI tools available. Suddenly you’re not just seeing the diagram. You’re seeing whether the design was real, whether they can direct AI purposefully, and whether they catch it when it goes wrong. That’s almost exactly what senior engineering looks like in 2026.
We put together a full best practices guide on how to run system design interviews well, the five-phase framework, how to write prompts that generate real signal, an honest look at whiteboard vs. structured platform trade-offs, and a complete playbook for the design-to-build format.
If your interview process hasn’t been stress-tested against what AI can now do, this is a good place to start.