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

GbyAI
GbyAI
Y
Y Combinator Blog
F
Fortinet All Blogs
H
Hackread – Cybersecurity News, Data Breaches, AI and More
N
Netflix TechBlog - Medium
T
Tailwind CSS Blog
aimingoo的专栏
aimingoo的专栏
博客园 - Franky
T
The Blog of Author Tim Ferriss
D
DataBreaches.Net
量子位
博客园 - 三生石上(FineUI控件)
I
InfoQ
Engineering at Meta
Engineering at Meta
WordPress大学
WordPress大学
阮一峰的网络日志
阮一峰的网络日志
爱范儿
爱范儿
D
Docker
美团技术团队
雷峰网
雷峰网
U
Unit 42
Stack Overflow Blog
Stack Overflow Blog
Recent Announcements
Recent Announcements
人人都是产品经理
人人都是产品经理

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
Leverage AI as a Customer
Ingo Steinke · 2026-05-12 · via DEV Community

Using AI can save time, friction and money, when used wisely. AI won't replace experts and craftspeople though. Here is why.

Can AI make a Website in 2 Days?

"AI can do a website in two days" isn't web design and development. It's called prototyping. Web designers, project managers, and web developers fear those customers who don't know what they want, but who'll tell you what they didn't want only after their work has been done.

Are you that type of Client?

If you're that type of customer, you can leverage AI to sort your thoughts and do some sketches and click dummy mock ups. AI isn't great at producing quality code or taking responsibility, but it's good at producing anything that you can look at and talk about. AI won't get tired and doesn't charge you hourly rates (at least not yet at the time of writing) for discussing over and over verbosely and trying to answer the most basic questions.

Hallucination, Stubbornness and Alternative "Facts"

As ChatGPT, Claude, and other AI services tell you in their fine print, AI can make mistakes. AI is quite likely to make mistakes. AI is known to hallucinate, tell you what you want to hear or else insist on a made up random claim not sustained by any facts.

Too long, too often

When AI says "often", it often means "always" or "never" or "maybe, I don't know". When you see a word like "often" or "many", take it as a guess or ask to elborate and research, if it matters. Often, it doesn't. AI often makes too many words and you don't have to read it all.

Understanding the Limits

You don't need to understand AI any more than you need to understand the inner workings of your car or your smartphone. But you should know how to use it and what it can do and what it can't.

AI is neither Creative nor a Craftsperson

AI is no creative, but a remixer. AI is no craftsperson, it's only well-read. AI has likely read 90% of everything relevant that has been published in recent years, including everything that's outdated now.

Prototyping as Basic Preparation

Using AI is like discussing an idea with your brother or reading a book from your local library to understand some basic concepts. Not bad for a start. You'll get an idea, proceed on your creative path and have smarter questions to ask when you meet with a real expert.

That can save everyone a lot of time, friction and money.