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

奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
V
Vulnerabilities – Threatpost
有赞技术团队
有赞技术团队
小众软件
小众软件
O
OpenAI News
C
Cyber Attacks, Cyber Crime and Cyber Security
I
Intezer
NISL@THU
NISL@THU
D
Darknet – Hacking Tools, Hacker News & Cyber Security
N
News and Events Feed by Topic
MongoDB | Blog
MongoDB | Blog
阮一峰的网络日志
阮一峰的网络日志
Hacker News: Ask HN
Hacker News: Ask HN
D
Docker
WordPress大学
WordPress大学
Security Archives - TechRepublic
Security Archives - TechRepublic
A
About on SuperTechFans
Stack Overflow Blog
Stack Overflow Blog
C
CERT Recently Published Vulnerability Notes
L
LINUX DO - 最新话题
Application and Cybersecurity Blog
Application and Cybersecurity Blog
M
MIT News - Artificial intelligence
Blog — PlanetScale
Blog — PlanetScale
S
Security @ Cisco Blogs
Cloudbric
Cloudbric
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
V
V2EX
Hacker News - Newest:
Hacker News - Newest: "LLM"
G
Google Developers Blog
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
W
WeLiveSecurity
Google DeepMind News
Google DeepMind News
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
H
Hackread – Cybersecurity News, Data Breaches, AI and More
G
GRAHAM CLULEY
S
Schneier on Security
T
Tor Project blog
Spread Privacy
Spread Privacy
PCI Perspectives
PCI Perspectives
Microsoft Security Blog
Microsoft Security Blog
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
F
Fortinet All Blogs
L
Lohrmann on Cybersecurity
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
T
The Exploit Database - CXSecurity.com
TaoSecurity Blog
TaoSecurity Blog
Apple Machine Learning Research
Apple Machine Learning Research
T
Threat Research - Cisco Blogs
T
Troy Hunt's Blog
罗磊的独立博客

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
How to Write a Software Request So the Developer Builds It Right the First Time
Joel Bennett · 2026-06-21 · via DEV Community

published: true

"Hey, can you build me an app that tracks my leads?"

That was the whole request. One sentence. And it sounds reasonable — until you try to actually build the thing and realize that sentence just handed you about fifty decisions and answered exactly none of them.

What's a lead? Where do they come from — a web form, a phone call, a text? What fields do you want stored for each one? What happens when one comes in — does an email fire, does it write to a database, does it just sit there? Who's the user — just you, or a whole team? Is this a mobile app, a web app, or a script running in the background? What does "tracks" even mean to you?

None of that was in the sentence. So whoever builds it is going to fill in every one of those blanks themselves — and they're going to fill them in with whatever's easiest for them, not whatever's right for you. Then you'll look at the finished thing and say "that's not what I meant," and they'll say "that's what you asked for." And you're both right. That's the whole problem.

Vague feels fast. It isn't.

People keep requests short because they think they're saving time. The thinking goes: I'll give them the gist, they'll figure out the details, we'll sort it out as we go.

Here's what actually happens. The details don't disappear because you didn't mention them. They just get answered later — by the developer, mid-build, after the budget's already half spent. Every question you don't answer up front becomes a guess. Every guess that's wrong becomes a rebuild. And rebuilding is the most expensive thing in any software project, because you're paying to code it, paying to discover it's wrong, and paying to code it again.

The questions are coming either way. The only choice you have is whether they get answered before the work starts, when changing the answer is free — or after, when changing it costs you.

Describe the outcome, not the solution

The biggest mistake I see is people requesting a solution when they should be describing an outcome.

"Build me a dashboard with a calendar view" is a solution. You've already decided the app needs a dashboard and a calendar, and you might be wrong about both. Now the developer is locked into your guess instead of solving your actual problem.

The outcome is what you're really after: "I keep double-booking jobs because I can't see at a glance what days are already full." That is useful. Now the developer can tell you whether a calendar is the right answer or whether a simple availability check solves it. You hired them to know that. Let them.

A good rule: describe what should be true when the software is done, not what the screen should look like. "When a lead comes in, the app texts me within a minute so I never have to remember to check anything." That one sentence tells a developer more than three paragraphs about buttons and layouts.

What a request that actually works includes

You don't need to write a novel. You need to answer the questions that would otherwise get guessed. For almost anything, that's:

Who the user is. Just you? A team? Your customers? On a phone or a desktop browser? Someone comfortable with software, or someone who needs it dead simple? This single answer changes the entire build.

What they're trying to get done. The actual goal, in plain words. Not the feature — the job the feature is supposed to do.

What happens, step by step. Walk the developer through the flow like a story. "A customer submits the web form. Then the data writes to a sheet. Then a text fires to me and to whichever driver is closest." Each "then" is a decision you're making instead of leaving to chance.

The inputs and the outputs. What data goes in, and what comes out? Name, phone, and address in — a sorted list and an SMS alert out. Be specific about the pieces of data.

The edge cases. What happens when two leads come in at the same second? When a required field is left blank? When the same lead is submitted twice? You don't have to solve these — naming them forces the conversation now instead of surfacing it as a bug later.

What "done" looks like. People skip this and it's the most important line in the whole request. How will you know it works? "Done means I can submit a test lead from my phone and the text shows up on mine within a minute." That's an acceptance test — now there's no argument about whether the software is finished. You can check it yourself.

What it is NOT. Just as important as what it is. "It doesn't need to process payments. No user accounts or logins. Just capture the lead and send the alert." Saying what's out of scope stops a small tool from quietly ballooning into a platform — and stops you from paying for features you never wanted.

Bad request vs. good request

Bad: "Build me an app to manage my leads."

Good: "I run a one-man landscaping operation. Leads come in two ways — a form on my website and phone calls I jot down. Right now they live on scraps of paper and I forget to follow up. I want a simple web app, used only on my phone, that puts every lead in one list sorted by who I haven't called yet, and texts me a reminder to follow up after three days. Done means I can add a lead in under thirty seconds and never lose one. No invoicing, no customer logins — just capture and follow-up."

Same project. One of those gets the developer to the right thing on the first try. The other gets you three rounds of "not quite" and a bill to match.

This is most of the job

When someone sends me that second kind of request, I can quote it accurately, build it once, and ship it without a dozen back-and-forths. When someone sends me the first kind, the first thing I do is ask all the questions they didn't answer — because I'd rather spend an hour writing a clear spec than three weeks coding the wrong app.

That's the whole reason I work in fixed quotes at 928 Builds. A fixed quote only works if both of us actually know what's being built. It's the thing that protects you from surprises and protects me from building blind. A clear request is the cheapest insurance in the entire project.

You don't need to know how to code it. You just need to say clearly what should be true when it runs.

Spend the hour writing it down. It buys back a week of building.

Tags: software, webdev, programming, productivity


Joel Bennett · Founder, 928 Builds · Tucson, AZ · 928builds.com