AI-native hiring platform

They test without AI.
We score how you use it.

Maven is the only hiring platform that measures how candidates collaborate with AI on real tasks pulled from your own codebase — the prompts, the iterations, the decisions. Because that's how engineers actually work now.

The problem

Hiring is stuck in the pre-AI era

AI is banned in interviews

Traditional coding tests forbid AI tools — testing a world that no longer exists.

Recruiters only see final answers

Pass/fail on output alone misses the thinking, debugging, and iteration that matters most.

Real workflows are invisible

How candidates prompt, debug, and iterate with AI — the actual skill — is never measured.

Why Maven

Others ban AI. We measure it.

Every other assessment platform tests a world that no longer exists. Maven tests the one that does.

Traditional platforms
Maven
AI tools during assessment
Banned
Built in — tracked & scored
What candidates work on
Generic algorithmic puzzles
Real tasks from your own codebase
What gets measured
Final output only
Full problem-solving workflow
AI collaboration quality
Not measured
Scored on 5 dimensions
Hiring signal
Pass / fail
Hire / Consider / Risk / Reject with evidence
Developer archetypes
None
9 behavioral profiles

“HackerRank measures whether a candidate can solve a problem in isolation. Maven measures how they solve it with AI in the loop — the only signal that still matters.”

The solution

See the complete picture

WorkGraph captures every interaction — from first read to final commit — to map how candidates actually solve problems.

Task
Prompt
AI Response
Code
Debug
Solution
0–100
AI Collaboration Score
Prompt quality, independent effort, iteration patterns, code adoption — one number for AI fluency
5
Behavioral Signals
Independence, debugging, stability, adaptability, AI collaboration
12 + 9
Risk Flags + Archetypes
From AI collapse to untested submissions. 9 developer profiles from The Architect to The Improviser.
How it works

Four steps to better hiring

01

Create a task

Define a real engineering problem. Set time limits, difficulty, and a grading rubric.

02

Candidate solves

AI copilot is built in — we track every prompt, iteration, and debugging session.

03

Platform records

WorkGraph maps the full journey: code edits, AI interactions, test runs, and timestamps.

04

Company reviews

See scores, replay sessions, compare candidates, and make data-driven hiring decisions.

What you get

Three signals no take-home can give you

AI Collaboration Score

The metric that replaces leetcode

A 0–100 score of how effectively a candidate works with AI — prompt quality, independent effort, iteration, and code adoption — distilled into a Hire / Consider / Reject verdict with the evidence behind it.

WorkGraph

The behavioral blueprint

Every edit, AI prompt, debug cycle, and test run maps into a directed graph of how a candidate actually solved the problem — even inside real GitHub codebases, not toy problems.

Archetypes

A profile they can share

Each candidate resolves to one of nine behavioral archetypes — The Architect, The Debugger, The Improviser — a clear, shareable read on how they work.

Now in open beta

Stop guessing.
Start measuring.

Get your first AI Collaboration Score in under 5 minutes. Free tier includes 5 assessments — no credit card required.

Free during beta · No credit card required