惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

人人都是产品经理
人人都是产品经理
宝玉的分享
宝玉的分享
小众软件
小众软件
有赞技术团队
有赞技术团队
月光博客
月光博客
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
MyScale Blog
MyScale Blog
Engineering at Meta
Engineering at Meta
Stack Overflow Blog
Stack Overflow Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
N
Netflix TechBlog - Medium
D
Docker
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
MongoDB | Blog
MongoDB | Blog
WordPress大学
WordPress大学
J
Java Code Geeks
罗磊的独立博客
V
Visual Studio Blog
雷峰网
雷峰网
H
Help Net Security
T
The Blog of Author Tim Ferriss
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
大猫的无限游戏
大猫的无限游戏
F
Fortinet All Blogs

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
What Kind of AI-Assisted Developer Are You? Take the quiz.
Julien Avezou · 2026-06-22 · via DEV Community
Cover image for What Kind of AI-Assisted Developer Are You? Take the quiz.

Julien Avezou

AI makes us faster, but does it make us better engineers, or just more dependent?

As a follow-up to my post on the The 4 Cognitive Archetypes of Developers Using AI, I wanted to created a quiz as a self-assessment for AI-assisted development habits.

My previous post sparked many interesting discussions and insights. I took some of those elements and put together a series of questions to help evaluate how you are using AI as a developer.

The 4 Archetypes include:

AI Architect: owns the problem, uses AI as leverage

AI Balancer: productive with AI, still protects judgment

Autopilot Builder: fast, but may accept output too quickly

AI Passenger: lets AI do too much of the cognitive work

This assessment scores answers across dimensions:

  • ownership
  • reflection
  • dependency
  • leverage
  • verification
  • speed bias

The questions are based on everyday engineering decisions:

  • debugging production issues
  • reviewing AI-generated code
  • writing tests
  • refactoring
  • working with unfamiliar libraries
  • explaining AI-assisted PRs
  • documenting complex changes

Here is my Cognitive Archetype for example:

Each results page also displays a breakdown of associated strengths and weaknesses and recommended actions to improve your cognitive score.

Here are my results:

I want to clarify that I am not collecting or persisting any user data as part of this project. It's just a small tool I wanted to share to keep the conversation going and hopefully inspire some of you.

You can take the quiz here and share which archetype you got!