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The Rise of AI-Assisted Candidates: Are You Interviewing Them the Right Way?
Aug 6, 2024
Reading Time
3 min
You’re not just hiring developers anymore. You’re hiring developers plus AI.
Like it or not, the best engineers are already using tools like Cursor, Copilot and ChatGPT to write, debug, and optimize code — and they’re doing it fast.
The old-school coding screen? Dead on arrival.
Because you’re not evaluating human performance in a vacuum anymore — you’re evaluating how well someone works with the machines.
The New Developer Stack
Today’s top candidates are:
Writing boilerplate in seconds with Copilot
Asking ChatGPT for quick architecture scaffolds
Using their knowledge to create
Adding tweaks and accelerating with different tools
And guess what? That’s not cheating! That’s the job now.
It’s a blend.
Good Software Developers are multidimensional.
So if your interview process penalizes them for using the same tools they’ll use on day one, you’re not testing ability; You’re testing obedience. You’re slowing yourself down.
What Traditional Interviews Miss
Let’s say you ask a candidate to implement a rate limiter from scratch and they use GPT-4 to scaffold the code. They make a couple edits and tweak it to fit your requirements.
Are they cheating?
Is that a red flag?
No. It’s a green one.
It tells you they:
Know how to prompt
Understand how to verify AI output
Can adapt base solutions to specific contexts
In 2025, those skills are just as valuable to find as raw coding ability.
But here’s the thing. Traditional coding interviews weren’t built for this reality.
They assume a closed-book, AI-free environment. But that’s not how real development happens anymore.
So What Should You Be Testing?
You still need signal. You still need to know if they’re any good.
That signal should come from:
How they interact with AI (not if they use it)
How they break down problems
How they verify outputs and debug
How they communicate tradeoffs in a pull request
That’s how engineers work now. And those are the skills that’ll separate a productive dev from one who fakes it.
How Prova Solves This
Prova’s assessments are designed for the real world. That means:
Candidates can use AI tools
They work in their own IDE
They solve scoped challenges that reflect actual team tasks
They ask an applicant to explain their decision making
Then we give you a breakdown that includes:
The candidate’s process
Their judgment
Their reasoning
The quality of the end result
An interactive demo of their build
It’s not about detecting whether they used AI.
It’s about seeing how well they work with it.
You can make the hiring decisions. We just get you deeper insight.
Don’t Penalize Great Candidates for Being Efficient
If you’re filtering out every candidate who uses ChatGPT…
You’re probably filtering out great candidates.
Because today’s best developers don’t fight the tools — they integrate them.
Your interview process should, too.