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

爱范儿
爱范儿
腾讯CDC
博客园 - 司徒正美
A
About on SuperTechFans
H
Help Net Security
J
Java Code Geeks
C
Check Point Blog
B
Blog RSS Feed
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
MongoDB | Blog
MongoDB | Blog
U
Unit 42
Hugging Face - Blog
Hugging Face - Blog
Last Week in AI
Last Week in AI
MyScale Blog
MyScale Blog
V
Visual Studio Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
I
InfoQ
H
Hackread – Cybersecurity News, Data Breaches, AI and More
F
Fortinet All Blogs
博客园 - 聂微东
酷 壳 – CoolShell
酷 壳 – CoolShell
GbyAI
GbyAI
博客园 - 【当耐特】
雷峰网
雷峰网

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
I built a free tool that turns plain English into cloud a...
AI Gen · 2026-06-16 · via DEV Community

I have a confession: I've spent more of my career arranging rectangles in Lucidchart
than I'd like to admit. Not designing systems — arranging rectangles. Nudging
connectors so they don't overlap. Hunting for the right AWS icon. Then watching the
diagram rot the moment the architecture changed, because updating it meant doing the
whole thing again.

So I built StackBuilder to get out of that loop.

The idea

You describe your infrastructure in plain English. You get a professional cloud
architecture diagram in seconds. That's it.

Type something like:

"A 3-tier web app on AWS: an Application Load Balancer in front of ECS Fargate
services across two AZs, an RDS PostgreSQL Multi-AZ database, S3 for static assets,
and a CloudFront CDN."

And you get a clean, labeled diagram using real AWS iconography — laid out sensibly,
no dragging required.

It works across AWS, Azure, Google Cloud, Kubernetes, Databricks, and multi-cloud
setups. No signup. No template to fill in. Free.

The problems it actually solves

Architecture diagrams that are always out of date.
Every team I've been on has had a Confluence page with a diagram from 9 months ago that
no longer matches reality. Nobody updates it because the cost is too high. If
regenerating takes 30 seconds, you'll actually keep it current.

Explaining infra to non-technical people.
"Can you draw up what our system looks like?" used to mean 40 minutes in a diagramming
tool. Now I describe it, export the PNG, drop it in the doc.

System design interview prep.
This one surprised me — a lot of people use it to work through design problems. Describe
the system, get a visual, reason about it. Faster feedback loop than a whiteboard.

Design docs and RFCs.
The diagram used to be the reason I procrastinated on writing the doc. Not anymore.

How it works

You describe the system. The AI interprets the components, their relationships, and the
provider-specific services, then generates a structured diagram with proper icons. You
can refine it in plain English too ("add a Redis cache in front of the database"), and
export to PNG, SVG, PDF, or draw.io.

Each provider has its own page if you want to start with context already set:

Why no signup

I've abandoned too many tools that made me create an account before I could even tell if
they worked. So StackBuilder doesn't have a wall. Go to
stackbuilder.tech, describe a system, get a diagram. If it's
useful, you'll come back. If not, you didn't waste any time.

What's next

I'm working on saved/versioned diagrams and team sharing. Right now the focus is on
making the generation quality good enough that you'd put the output in front of a client
or a hiring panel — not just use it as a rough sketch.

Try it

https://stackbuilder.tech — free, no signup, works right now.

If you try it, I'd genuinely love to hear what you described and whether the diagram
matched what you had in your head. The "where it got it wrong" feedback is the most
useful thing you can give me at this stage — drop it in the comments.