Rebuild an interview for the AI era
AI fluency is changing how teams hire. Your interview process should keep up.
CoderPad is the only technical hiring platform built end-to-end for the skills that matter in the AI. Build interviews that measure AI fluency in minutes with guided interview design and AI-powered question creation.
- 60,000+ AI-enabled interviews
- 2/3 of the Forbes AI 50
$662,400 a year The hidden cost of an interview process that can’t measure AI fluency
20–40%
The fluency advantage.
AI-fluent engineers out-deliver peers by 20–40% — unscreened developers using the same tools measured up to 19% slower.
3.2 : 1
Demand vs. supply.
AI talent demand outstrips supply more than 3 to 1. A slow process loses the AI-fluent candidate before the second interview.
30–250%
Cost of a mis-hire.
A bad hire costs at least 30% of first-year salary — climbing toward 250% for specialized technical roles once ramp, lost output, and replacement are counted.
Design
AI Interview Designer
Turn a job description into a role-specific, AI-fluency interview in minutes.
Conduct
AI Assist
Every candidate gets the same realistic AI tooling they’d use on the job.
AI Interview Coach
Real-time coaching and guidance embedded directly in your interviews, so every interviewer can run AI interviews like a pro with minimal prep time.
Evaluate
Benchmark AI
Auto-generated, comparative scoring for the open-ended, judgment-heavy work that’s hardest to grade by hand — so fluency shows up in the score, not just in a reviewer’s gut feeling.
The AI gap is changing how teams hire.
AI presents a new set of skills that requires a new type of interview to measure. Today’s engineers use AI to write code, debug, research solutions, and move faster. But most interview processes still evaluate candidates as if AI isn’t part of the job.
The result is the AI gap: a disconnect between how engineers actually work and what hiring teams measure.
CoderPad helps close that gap—from interview design to evaluation—so you can hire engineers who know how to work effectively with AI, not just generate code.
The AI gap isn’t just an engineering problem.
A marketer, analyst, or ops lead who can’t direct AI is just as exposed as a developer who can’t. AI Fluency Pads give non-technical candidates a real workspace — files, data, AI, and a deliverable to produce — so you can finally test AI fluency org-wide, not just in code.
Problem
Candidates use AI every day—but interviews often don’t.
Many hiring processes either ban AI or don’t account for it, making it hard to evaluate the skills engineers actually use on the job.
CoderPad Helps
Every candidate gets access to the same AI-powered environment, so you can evaluate prompting, judgment, debugging, and decision-making in a fair, consistent way.
Problem
Yesterday’s interview questions measure yesterday’s skills.
Static question banks and coding puzzles don’t reflect how modern engineers work.
CoderPad Helps
AI Interview Designer allows anyone on the hiring team to quickly design project-based technical interviews with harder-to-game questions.
Problem
The final answer doesn’t tell you how someone got there.
A passing solution doesn’t reveal whether a candidate relied blindly on AI or used it thoughtfully.
CoderPad Helps
Review the full problem-solving process—from prompting and iteration to technical reasoning—so you can understand how candidates think, not just what they build.
Problem
Evaluating AI-enabled interviews shouldn’t depend on who’s conducting them.
Without clear standards, different interviewers can reach different conclusions.
CoderPad Helps
Use shared scoring criteria, AI-assisted evaluation and AI Interview Coach to create more consistent reviews and more confident hiring decisions.
Measure AI fluency, not AI output
See the reasoning behind the answer — not just whether the code runs.
See how candidates think
Evaluate prompts, judgment, iteration, and reasoning — not just the final commit.