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

Forbes - Security
Forbes - Security
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
F
Fortinet All Blogs
B
Blog
T
The Blog of Author Tim Ferriss
Engineering at Meta
Engineering at Meta
GbyAI
GbyAI
Y
Y Combinator Blog
Microsoft Azure Blog
Microsoft Azure Blog
L
LangChain Blog
Recent Announcements
Recent Announcements
U
Unit 42
Martin Fowler
Martin Fowler
M
MIT News - Artificial intelligence
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
The Register - Security
The Register - Security
Recorded Future
Recorded Future
C
Check Point Blog
V
V2EX
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Hugging Face - Blog
Hugging Face - Blog
WordPress大学
WordPress大学
Google DeepMind News
Google DeepMind News
酷 壳 – CoolShell
酷 壳 – CoolShell
F
Full Disclosure
小众软件
小众软件
A
About on SuperTechFans
云风的 BLOG
云风的 BLOG
宝玉的分享
宝玉的分享
Last Week in AI
Last Week in AI
有赞技术团队
有赞技术团队
MongoDB | Blog
MongoDB | Blog
爱范儿
爱范儿
P
Proofpoint News Feed
罗磊的独立博客
量子位
D
Docker
博客园_首页
D
DataBreaches.Net
Project Zero
Project Zero
博客园 - 司徒正美
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
博客园 - Franky
Security Latest
Security Latest
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
N
Netflix TechBlog - Medium
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
博客园 - 三生石上(FineUI控件)
H
Hackread – Cybersecurity News, Data Breaches, AI and More
大猫的无限游戏
大猫的无限游戏

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
From Idea to Specs: Planning HandyFEM's Architecture with Claude.ai - Specs Driven development.
Constanza Di · 2026-05-29 · via DEV Community

What is HandyFEM?

HandyFEM is a web app I'm building to connect women professionals in technical trades (electricians, plumbers, carpenters...) with clients who are looking for them. It's both a real product I plan to launch and a portfolio project — so it has to be well-built, secure, and professional.
I'm documenting the entire process as I go. This is the first post in the series.

The problem with jumping straight into code

Without a solid plan, we can find several problems, features that don't connect, components that have to be rebuilt, a design that makes sense locally but not globally.
So I decided to do it properly — specs first, code second.
I used Claude.ai as a thinking partner throughout this process. Not just to generate content, but to challenge my decisions, suggest alternatives, and help me document everything in a structured way.

Step 1 — Reviewing the user flow

I already had a flow diagram from a previous iteration of the project. We started there. I put my diagram to be judged by Claude and it identified a few issues or things that were unclear, even though I had the ideas in my mind. The most important decision came from a simple question I hadn't fully answered: can one person be both a client and a professional?
I went with a single account with a base client role, with the ability to activate a professional profile from the dashboard later. Same pattern as LinkedIn.

Step 2 — Defining the MVP scope

With the corrected flow, we mapped out all the features. Then we cut ruthlessly.

What's in the MVP:

Landing page

  • Sign up / Log in + email verification
  • Public directory with search and filters
  • Professional public profile
  • Unified dashboard with role toggle
  • Professional onboarding (4-step flow)
  • Basic chat

What's out (v2):

  • Admin panel for profile moderation
  • Payments
  • Geolocation / map view
  • Emergency button
  • Push notifications The Admin Panel was a tough cut — it was in my original diagram and it's genuinely important for safety. But it adds significant complexity and the MVP can function without it (profiles go live directly). It'll be the first thing added in v2.

Step 3 — Stack decisions (and why)

I was already planning to use Next.js + Supabase, but I took the time to articulate why:

  • Next.js — the professional directory needs to be indexed by Google. If someone searches "female electrician Barcelona", I want HandyFEM to show up. That requires SSR, which React alone doesn't give you. Next.js also has API routes built in, so no separate backend for simple logic.

  • Supabase — covers auth, PostgreSQL, realtime (for chat), and storage (for profile photos and portfolio) in one service. It has a generous free tier for an MVP and integrates cleanly with Next.js.
    shadcn/ui — component library that copies code directly into your project rather than installing as a dependency. Accessible by default, unstyled, and you apply your own design tokens. Very common in Next.js projects right now.

  • Tailwind CSS — utility-first styling that works perfectly with shadcn.

Step 4 — Writing the specs

This is where most of the session went.
I've been experimenting with a specs-driven development approach — writing detailed specifications for each screen and component before writing any code. The idea is that a well-written spec becomes the prompt for Claude Design, and a well-prompted Claude Design produces clean, copy-paste-ready code on the first try.

For each component in the Design System, we documented:

  • All variants and sizes
  • All states (default, hover, focus, error, disabled, loading)
  • Exact color tokens
  • Accessibility requirements (aria labels, focus rings, touch targets)
  • shadcn/ui implementation notes

And for each screen:

  • Layout and sections
  • All interactive elements
  • All states (loading skeletons, empty states, error states)
  • SEO considerations
  • Technical notes for Supabase queries

The full spec document is saved in /docs in the project repo.

What I learned

  1. Specs are not overhead — they are the work. The time I spent writing specs today will save me hours of refactoring later. And they double as documentation, which makes the project look serious in a portfolio context.
  2. Claude works best as a thinking partner, not an autocomplete. The most valuable moments weren't when it generated content — they were when it pushed back on my decisions or asked clarifying questions I hadn't considered.
  3. Cut early, cut ruthlessly. Every feature that goes into an MVP is a feature that needs to be designed, built, tested, and maintained. The Admin Panel will be better in v2 anyway — I'll have real users to learn from.

What's next
Next post: taking all of this into Jira — turning the specs into epics, stories, and tasks so the build phase has clear structure.
After that: the Design System in code, and then building screen by screen.