DEV Community: Kamran Qayyum

How I validate system architecture in 60 seconds before writing a single line of code

Kamran Qayyum — Sat, 30 May 2026 11:34:20 +0000

Every engineering team I have ever worked with has the same meeting.

Two weeks of whiteboard debates. A Miro board nobody agrees on. Six weeks later you hit production and realize the architecture does not handle what you thought it would.

Static diagrams do not predict failures. They never did.

After 7 years building SaaS products and distributed systems, I got tired of watching senior architects waste days on diagrams that matched nothing in reality. So I built Archivolt.

The Problem

Here is what actually happens on most teams:

Someone opens Lucidchart or Miro
The team spends days drawing boxes and arrows
Everyone debates service boundaries
Nobody validates whether the design will actually work
Code gets written based on unvalidated assumptions
Production breaks in ways nobody predicted

The diagram looked great. The system did not survive contact with reality.

Why Diagrams Fail

Static diagrams have zero feedback mechanism. They cannot tell you:

Will your database survive 10x traffic?
What happens when this dependency goes down?
Is your service mesh actually necessary?
Where are your single points of failure?
Does your tech stack fit your scale?

You are making critical decisions with zero validation. Then spending months building on top of those unvalidated decisions.

The Solution: Validate Before You Build

The approach I use with Archivolt:

Step 1: Describe your system in plain English. No diagrams needed. Just describe what you are building, your expected scale, and your tech stack preferences.

Step 2: Archivolt analyzes your system against industry best practices and architectural patterns. It detects bottlenecks, single points of failure, cascade failure risks, and anti-patterns.

Step 3: Get a complete validated blueprint in 60 seconds. Tech stack recommendations with reasoning, component architecture, failure mode analysis, and production-ready scaffolds.

Step 4: Export your blueprint as a PDF or generate code scaffolds directly into your codebase.

Real Example

Here is what a senior engineer described to Archivolt recently:

"A real-time chat application with offline support, end-to-end encryption, and expected 50,000 concurrent users."

In 60 seconds, Archivolt returned:

Recommended architecture: WebSocket gateway with Redis pub/sub for message routing
Identified risk: Single Redis instance is a critical failure point, recommend Redis Cluster
Tech stack fit: Recommended Node.js for WebSocket handling, PostgreSQL for message persistence
Failure modes: What happens during Redis failover, how to handle WebSocket reconnection
Code scaffolds: Ready-to-deploy Docker Compose, API boilerplate, and connection handler

That is the difference between a static diagram and a validated blueprint.

What I Learned Building This

155 architects from 7 countries tested Archivolt in the first week. Here is what I learned:

Senior engineers care more about validation than visualization. They do not need prettier diagrams. They need confidence that their design will survive production.

Speed matters. Architects told me the 60-second turnaround changed how they approach early-stage design. They now validate 3 to 4 options before committing.

Scaffolds are the highest-value feature. The most requested thing was not better diagrams. It was production-ready code they could immediately use.

Try It Yourself

Archivolt is free to try. No signup needed for your first blueprint.

Go to archivolt.dev, describe your system in plain English, and see what breaks before you build it.

Would love feedback from the Dev.to community. What architecture validation problems have you run into? What would make this more useful for your workflow?

Generating Production-Ready Blueprints from Plain English Descriptions

Kamran Qayyum — Mon, 25 May 2026 11:24:12 +0000

The Problem

Senior architects and tech leads waste 2-3 weeks debating system design before writing a single line of code. They are not debating syntax. They are debating architectural decisions:

Should we use async job queues or sync processing?
How many read replicas do we actually need?
Does this tech stack even work together?
Where will this fail under load?

The worst part? These decisions get validated after they start coding. Months later, in production, they discover the architecture does not handle what they thought it would.

The Idea

What if we could validate architecture before building it?

Not by having more meetings. Not by drawing diagrams in Miro. But by encoding architectural rules and running descriptions against them.

So I built a system that:

Takes a plain English system description
Validates it against 50+ architectural rules
Generates a production-ready blueprint with diagrams, tech recommendations, and implementation scaffolds

How It Works

Step 1: Parse the Description

User inputs something like:
Multi-tenant SaaS platform for project management.
Stripe payments, async job queue for notifications,
read replicas for scaling. Expecting 10k DAU by month 6.

Step 2: Validate Against Rules

The system runs this against a ruleset:
Rule: If async jobs exist -> queue system required
Rule: If 10k DAU -> caching layer required
Rule: If Stripe -> PCI compliance validation
Rule: If multi-tenant -> data isolation validation
Rule: If read replicas -> consistency strategy required

It is not regex matching. It is semantic validation using Claude's API to understand the implications of each architectural decision.

Step 3: Generate the Diagram

Once validated, it generates a Mermaid.js diagram showing component relationships, data flow, failure points, and scaling bottlenecks.

Step 4: Generate Tech Stack and Scaffolds

Based on the description, it recommends a concrete tech stack and generates starter code for critical components like Stripe webhook handlers, job queue setup, and database initialization scripts.

Why This Matters

Traditional architecture tools make you:

Draw boxes
Connect lines
Hope you did not miss anything

Archivolt validates before you draw. It catches anti-patterns:

Using Firestore with strong consistency requirements
100k users on a single database server
Multi-tenant app sharing databases across tenants

And suggests fixes:

Switch to PostgreSQL with row-level security
Add a read replica and cache layer
Implement schema isolation strategy

What Makes This Different

vs. Lucidchart and draw.io: Drawing tools only. No validation.

vs. C4 model tools: Great for documenting architecture, but you still have to know what is right.

vs. ChatGPT: Asking "is this a good architecture?" gives 50 different answers. Archivolt has consistent rules.

vs. Infrastructure-as-Code: IaC is for implementation. This is for validation, which happens first.

Current State

Shipped last week. Early feedback from users:

Staff engineers using it to validate proposals before team debates
Architects catching mistakes before 2 weeks of coding
CTOs using it to teach junior architects system design

Free to try (1 generation). Unlimited blueprints on Pro.

What Is Next

Working on:

Terraform and CloudFormation export: go from blueprint to infrastructure code
Deterministic validation layer: stricter rules, fewer hallucinations
Team collaboration: shared blueprints with comments
Pattern library: pre-built solutions for common architectures

Try It

archivolt.dev - describe your system, get a blueprint in 60 seconds.

Would love to know: what breaks it? What patterns would help your team? Would you use the Terraform export?

Drop a comment or join the Discord community (link on the site).

I am a solo founder in Lahore, shipping this in public. If you build with Archivolt, I would love to hear what you are working on.

I Built Archivolt: An AI Architecture Blueprint Generator. Here's What I Learned.

Kamran Qayyum — Sun, 17 May 2026 20:51:52 +0000

I Built Archivolt: An AI Architecture Blueprint Generator. Here's What I Learned.

I built Archivolt because I faced a constant problem as a software engineer: designing systems that break when requirements change.

Most architecture discussions ignore volatility. They assume requirements are stable. They're not.

So I built an AI tool that generates Volatility-Based Decomposition (VBD) blueprints in 60 seconds.

The Problem

You design a system. It works perfectly for today's requirements.

Then requirements change—and your entire architecture breaks.

Why? Because you didn't decompose for volatility. You decomposed for static requirements.

This costs months of refactoring. It's expensive. It's predictable. It's avoidable.

The Solution: Archivolt

Users describe their system in plain English. Archivolt generates:

✅ Mermaid Diagram – Visual VBD decomposition

✅ Adapter Contracts – Interfaces between services

✅ Build Sequencing – What to build first

✅ Future-Proof Score – 0-100 architecture quality metric

All in 60 seconds using Claude AI.

What is VBD?

Volatility-Based Decomposition decomposes systems based on what changes, not what exists.

Services that change together live together. Services that don't change stay separate.

This dramatically reduces the cost of requirement changes.

Most architects don't use it. Most tools don't support it. Archivolt does.

Live Now

Free tier: 1 generation (full functionality, no credit card)

Paid tiers:

Blueprint: $49 one-time (4 generations)
Pro: $29/month (unlimited + tech stack recommendations)
Team: $49/month (unlimited + system design tab)

Live at: https://www.archivolt.dev

First $29 sale processed this week ✅

Tech Stack

Frontend: Next.js 15, React, TypeScript
Auth: Clerk
Database: Supabase (PostgreSQL)
AI: Anthropic Claude API
Payments: Polar.sh
Deployment: Vercel

What I Learned Building This

1. Ship Fast Over Perfect

I spent 8 weeks building, not 8 months planning. Shipped with what works, not what's flawless.

The free tier is fully functional. Users can generate real blueprints. That's enough.

2. Free Tier Drives Adoption

Free tier sign-ups are 10x paid conversions (so far). Let people experience value before asking for money.

One free generation shows what you can do. Users either get it or they don't.

3. Polar.sh > Traditional Processors

Setup was instant. No waiting for approvals. First payment processed within hours.

If you're a solo founder, Polar.sh is significantly faster than Stripe/Paddle.

4. Target Audience Matters

Senior architects, staff engineers, tech leads understand VBD instantly.

Other audiences need education. I'm targeting people who already think in terms of decomposition.

5. Your First Customer Is the Hardest

Getting that first $29 sale took more energy than building the product.

But it proves the model works. One paying customer is worth 100 free sign-ups.

What's Next

Month 1 Goal: $50-100 MRR (10-20 sign-ups, 1-2 conversions)

Month 3 Goal: $350-600 MRR

Month 6 Goal: $1k+ MRR

I'm building in public. Community feedback shapes the roadmap.

Phase 2 features (Week 3+):

Streaming responses (real-time diagram generation)
Better error handling
Export options (PDF, JSON)
Analytics dashboard

Try It

Free tier: https://www.archivolt.dev

Describe any system (e-commerce, SaaS, monolith, microservices, whatever). Generate a VBD blueprint in 60 seconds. Tell me what you think.

I read every comment. Ask me about:

VBD and why it matters
Architecture patterns
Technical decisions
Building as a solo founder
Pricing strategy
Whatever

Questions People Ask

What is VBD exactly?

Volatility-Based Decomposition. Instead of decomposing by domain or layers, you decompose by what changes.

Services that change together → same service.

Services that don't change → separate services.

This reduces coupling and makes requirement changes cheaper.

How is this different from ChatGPT?

ChatGPT gives you text. Archivolt gives you structured output: Mermaid diagrams, adapter contracts, build order, a quality score.

It's architecture-focused, not generic.

Why should I pay?

Pro tier ($29/month) gives unlimited generations + tech stack recommendations. Team tier adds system design guidance.

For architects, that's cheaper than a single consulting hour.

Can I try it free?

Yes. 1 free generation, full functionality, no credit card. Try it now.

What if I think VBD is wrong?

Tell me. I'd rather hear criticism than silence. Architecture is subjective. Feedback helps me improve.

Let's Talk

I'm building this in public. Comment below, DM me on Twitter, or email support@archivolt.dev.

Let's build better architectures together. ✌️

https://www.archivolt.dev