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

U
Unit 42
Blog — PlanetScale
Blog — PlanetScale
H
Help Net Security
The GitHub Blog
The GitHub Blog
博客园 - Franky
酷 壳 – CoolShell
酷 壳 – CoolShell
Recent Announcements
Recent Announcements
量子位
aimingoo的专栏
aimingoo的专栏
大猫的无限游戏
大猫的无限游戏
博客园 - 叶小钗
Microsoft Azure Blog
Microsoft Azure Blog
Martin Fowler
Martin Fowler
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
A
About on SuperTechFans
T
Tailwind CSS Blog
V
V2EX
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
B
Blog
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
S
SegmentFault 最新的问题
G
Google Developers Blog
M
MIT News - Artificial intelligence

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
How to use Claude code
Roel · 2026-05-13 · via DEV Community

Roel

It turns out I was wrong and a simple step fixed it

So just like most devs I have been fiddling around with multiple AI agents, mainly all bigger ones like ChatGPT, Grok, Gemini and ofcourse Claude. I have not gotten around to Kimi just yet.

However most of my time has been with Claude, I have even purchased extra credits to create more and more and let the agent do most of my work.

But recently I found myself doing what most devs do, jumping straight into implementation, letting the agent just figure it out. And yeah, it works, until it doesn't and you're three hours deep trying to figure out why you keep burning tokens with ok results instead of great.

The Fix

The fix that actually changed how I work with Claude: use Plan mode first, and write tests.

Before I let Claude touch any code now, I switch to Plan mode and make it think through the approach. No code yet, just the plan. Once I'm happy with the direction, then we implement. And alongside that, tests. Not after, not "I'll add those later" during.

And this is where it gets interesting: Plan mode caught things that the immediate agent did not. Simple stuff like "hey, this component is tightly coupled, we should decouple it before adding to it." Obvious in hindsight, easy to miss when you're just vibing through features.

Conclusion

It sounds obvious written out like that. But it's one of those things you have to learn yourself on a few times before it sticks.

The difference in output is noticeable. Claude is significantly less likely to go off the rails when it's committed to a plan upfront, and the tests catch the moments where it quietly breaks something it wasn't supposed to touch.

Two steps that take maybe five extra minutes and save you from a lot of frustrated backtracking.

Try it if you haven't.