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

I
InfoQ
G
Google Developers Blog
Engineering at Meta
Engineering at Meta
月光博客
月光博客
博客园 - 聂微东
博客园 - Franky
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
有赞技术团队
有赞技术团队
A
About on SuperTechFans
Microsoft Azure Blog
Microsoft Azure Blog
Blog — PlanetScale
Blog — PlanetScale
U
Unit 42
T
Tailwind CSS Blog
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
云风的 BLOG
云风的 BLOG
S
SegmentFault 最新的问题
F
Fortinet All Blogs
H
Help Net Security
J
Java Code Geeks
酷 壳 – CoolShell
酷 壳 – CoolShell
博客园 - 叶小钗
L
LangChain Blog
Martin Fowler
Martin Fowler
N
Netflix TechBlog - Medium

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
We Are Wrong About AI Coding.
Temisan · 2026-05-19 · via DEV Community

AI coding claims — overwhelming noise

The past couple of years have been pretty wild for developers. Ever since AI entered the picture, the speculation has been nonstop.

"AI is taking over the entire industry. Developers are finished. The robots are coming."
— Every tech pundit, ever

Wild, right? Well, I'm still not convinced. Most of these claims are clearly exaggerated.


Let's just take the base claim that AI can write code 10x faster than any developer. Or better still, faster delivery or 10 times more code output... of which I am not convinced.

I don't think it's that simple.

Don't get me wrong, I'm not trying to play the devil's advocate here.


The CEO Thought Experiment

Take for instance, you're the CEO of a company. Your goal is to maximize profits... With the rise of AI, you can now crank out features, utilities and products like never before. All you gotta do is start using AI. Right?

So what do you do?

Option Action Outcome
Option A Fire 90% of your team, use AI alone Same output as before
Option B Keep your team + use AI as a multiplier Ship 10x more than competitors

Please stick with me here. This is a thought experiment. I'm not saying this is what you should do. I'm just asking you to consider the options.

Well obviously the second option makes sense. But here's the thing... if you picked Option A while your competitors picked Option B, they'd bury you. More output, more features, faster delivery. Your company would fade out and die.

Option A vs Option B — fire your team or multiply them


So Why Aren't We Seeing 10x Improvements Everywhere?

📌 The job market for programmers is rough right now. But I don't think AI is the main reason. The entire economy is down.

Between 2021 and 2023, tech companies massively overhired during a boom. When the economy contracted, they held onto that workforce for a while, then started cutting. The AI narrative became a convenient cover story. In reality, most of these companies were just losing profit.

AI is probably getting more blame than it deserves.

Most companies firing developers will say it's to implement AI. But dig a little deeper and you'll find a bad market, shrinking margins, and cost-cutting decisions that had been coming regardless.


This Isn't the First Time

This isn't the first time a new tool has threatened to make developers obsolete either. Throughout the history of programming, new technologies have consistently made developers faster, better, more productive. And the industry grew every single time.

Historical timeline — new tools have always boosted developers, never replaced them

More capability meant more ideas, more products, more demand for developers who knew how to use the tools.

"More resources doesn't mean less work. It means bigger ambitions."
— The pattern, every single time


Where Does AI Actually Stand?

AI is a stronger multiplier than anything that came before it. I'll give it that. But I don't think the outcome will be any different.

A competent developer using AI will outbuild and outship someone who isn't. That doesn't mean less work though. It means more features, bigger products, wilder ambitions.

Dev + AI vs Dev alone — the gap widens over time

That's my take anyway. See you in the next one.¹


¹ Idea credit: Kyle Cook — Web Dev Simplified