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
N
News and Events Feed by Topic
S
Schneier on Security
G
GRAHAM CLULEY
Scott Helme
Scott Helme
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
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
GbyAI
GbyAI
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
C
CERT Recently Published Vulnerability Notes
T
The Exploit Database - CXSecurity.com
C
Cisco Blogs
T
The Blog of Author Tim Ferriss
Cisco Talos Blog
Cisco Talos Blog
P
Privacy & Cybersecurity Law Blog
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
博客园 - 司徒正美
Blog — PlanetScale
Blog — PlanetScale
Project Zero
Project Zero
MyScale Blog
MyScale Blog
Recent Commits to openclaw:main
Recent Commits to openclaw:main
Apple Machine Learning Research
Apple Machine Learning Research
小众软件
小众软件
The Last Watchdog
The Last Watchdog
Vercel News
Vercel News
The Cloudflare Blog
C
Check Point Blog
Help Net Security
Help Net Security
Microsoft Security Blog
Microsoft Security Blog
AI
AI
Simon Willison's Weblog
Simon Willison's Weblog
云风的 BLOG
云风的 BLOG
M
MIT News - Artificial intelligence
Stack Overflow Blog
Stack Overflow Blog
腾讯CDC
NISL@THU
NISL@THU
S
Security @ Cisco Blogs
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
S
SegmentFault 最新的问题
MongoDB | Blog
MongoDB | Blog
C
CXSECURITY Database RSS Feed - CXSecurity.com
T
Threatpost
AWS News Blog
AWS News Blog
Cloudbric
Cloudbric
N
News and Events Feed by Topic
PCI Perspectives
PCI Perspectives
S
Securelist
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
V
Vulnerabilities – Threatpost
S
Secure Thoughts

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 Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
# Side projects don't fail because of bad code. They fail because...
Franklyn Nmesoma · 2026-06-24 · via DEV Community

It's crazy how nobody really talks about this.

An idea pops into your head. You validate it. Maybe a few people tell you it's a good idea. Next thing you know, you're three weeks deep into building the next X (formerly Twitter).

There's just one small problem:

You're not building for users. You're building for yourself.

The way developers see products is completely different from the way users see them.

A developer sees pixels, color gradients, load times, request speeds, database queries, security, and architecture.

The user sees one thing:

An app.

That's it.

Most users don't care that your font size is off by 2px. They don't care whether you're using React, Vue, Laravel, Next.js, PostgreSQL, MongoDB, or whatever new framework launched last week.

What they care about is simple:

Can I use this thing without getting frustrated?

That's the real question.

Think about the products you use every day. Why do they have millions of users?

It isn't because the UI is beautiful.

It isn't because the architecture is perfect.

It's because they're usable.

Can users understand your product without watching a tutorial?

Can they complete important actions without getting confused?

Can they find what they're looking for without clicking through five different screens?

If the answer is no, then you don't have a technical problem.

You have a product problem.

And product problems kill side projects much faster than technical ones.

The second reason: developers love over-complicating things.

A lot of developers struggle with this, especially when building side projects.

A simple note-taking application somehow becomes:

  • AI-powered
  • Real-time
  • Multi-tenant
  • Offline-first
  • Blockchain-enabled

All before a single user has written their first note.

A notes app doesn't need AI.

It needs to let users:

  • Create notes
  • Save notes
  • View notes
  • Delete notes

That's it.

There's a difference between building the right thing and just building things.

The hack?

KISS.

Keep It Simple, Stupid.

(Or Keep It Short and Simple if you're feeling polite.)

The principle is the same.

Your application should perform its primary task exceptionally well before you start adding features nobody asked for.

The more complexity you introduce, the more opportunities you create for things to break.

Build with KISS in mind and thank me later.

The third reason nobody talks about: no deployment plan.

This one hurts.

You spend months building.

Next.js for the frontend.

Laravel for the backend.

PostgreSQL for the database.

Redis for caching.

Docker because everyone on YouTube says you should learn Docker.

Everything sounds cool until it's time to deploy.

Now you're trying to figure out hosting, environment variables, SSL certificates, databases, storage, monitoring, backups, and why your frontend suddenly can't talk to your backend.

This is where many side projects quietly die.

Not because the code was bad.

Because nobody thought about operations.

Before writing your first line of code, ask yourself:

How is this thing actually going to run?

How will the services communicate?

How will updates be deployed?

How will users access it?

How will I keep it online when something breaks?

Your goal isn't to build something that works on your machine.

Your goal is to build something users can depend on.

Those are two very different things.

Final thoughts

Most side projects don't die because of bad code.

They die because nobody wanted to use them.

They die because they're overengineered.

They die because the developer spent more time choosing technologies than understanding users.

And sometimes they die because nobody thought about what happens after the code is finished.

The irony is that writing the code is often the easiest part.

Building something people actually use?

That's the hard part.