How to find an AI-native developer (and not make a mistake)
Understanding who AI-native engineers are, why the old hiring approach no longer works, and what signals to look for when choosing a candidate.
Authors: slavb18











Everyone is currently looking for "strong developers".
But the problem is that the market has already split into 2 types:
Regular engineers
AI-native engineers, who accomplish 5-10x more
And if you hire using old criteria - you are almost guaranteed to hire the first type.
💥 Why standard hiring breaks down
You look at:
stack (React, Python, PostgreSQL)
years of experience
past companies
But this says nothing about real effectiveness.
Two candidates might look identical. But one will take 2 weeks to build a feature, while the other will put together the entire product over a weekend.
🧠 What distinguishes an AI-native developer
We currently systematically analyze candidate experience and identify AI Insights - signals of how a person truly works.
Here's what to look for:
🔹 1. Using AI as a multiplier
Not "tried ChatGPT", but:
Cursor / Claude / Copilot in daily work
code, test, architecture generation
working through agents
👉 If this is missing - they are not AI-native
🔹 2. Speed (the most underrated signal)
Look for phrases like:
"built an MVP in 2 weeks"
"did 5+ experiments a week"
"launched a product in a month"
👉 speed is the main marker
🔹 3. Product thinking
An AI-native engineer:
talks about churn / retention / conversion
and not just "implemented an API"
participates in product decisions
🔹 4. End-to-end thinking
Not "I built the backend", but:
"built a feature from idea to production"
"launched and measured the result"
🔹 5. Automation-first approach
automates routine tasks
writes scripts / pipelines
reduces manual work
⚙️ How we do this
We break down each candidate's experience into a structure:
stack → all technologies (including AI tools)
skills → real practices (product, architecture, processes)
achievements → measurable results
and most importantly → AI Insights with explanation
For example:
AI-native - uses Cursor and Claude for significant development acceleration
MVP Builder - built a product in 2 weeks
Product Engineer - reduced churn by 20%
📊 What this provides
You start to see the difference:
not "React vs React"
but
a regular developer vs a person who genuinely builds products
⚡ The market's main mistake
Companies are still hiring based on:
❌ "5 years of experience"
❌ "stack knowledge"
Instead of:
✅ "product creation speed"
✅ "ability to work with AI"
✅ "focus on results"
🎯 In short
An AI-native developer isn't about tools
it's about behavior and speed
👇 If you want to try
We've created a simple scenario:
upload your resume or job description
get AI Insights on candidates
immediately see who is truly strong