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Draw your whole stack on one page.

Frontend, database, agent layer, payments, deploy and monitoring, wired together the way I run them in production. Every layer names its service, its fallback, and what breaks first under load. The architecture diagram you were going to draw badly in Figma.

Raj Singh By Raj Singh · August 2026 · 9 min read
THE ARCHITECTURESix layers, and what fails first in each
stack-diagram.md · production topology
6 LAYERS · 1 PAGE
Edge to app — Next.js on Railway. Fails first on cold starts.
Data and auth — Supabase Postgres. Fails first on connection pool.
Agent layer — Claude Code plus MCP servers. Fails first on context.
Every layer names its fallback.Diagram plus configs
THE TELL

Your stack works in dev and nobody has tested the rest.

  • Every architecture guide assumes AWS and a $5,000 monthly bill. You need the version that runs on a real budget.
  • Half the AI infrastructure content out there is a Notion template. No code, no config files, nothing you can deploy.
  • It works locally. You have no idea what happens at ten times the traffic, and you will find out on the worst possible day.
  • You can name your services. You cannot name what fails first, which is the only thing that matters at 3am.
WHAT'S INSIDE

Six layers, every fallback, one diagram.

  • 01
    The full topology
    Frontend, backend, database, agent layer, payments and monitoring on one page, with the wiring drawn rather than described.
  • 02
    Where the agents live
    How Claude Code, OpenClaw and your MCP servers sit inside the stack instead of bolted onto the side of it.
  • 03
    The payments decision
    Stripe against Fan Basis as a decision tree keyed to your ops maturity, not to whichever one has better docs.
  • 04
    Deploy and watch
    Hetzner, Railway and Hostinger compared on real workloads, plus the Sentry and Resend wiring that tells you before a customer does.
  • 05
    What breaks first
    The failure order under load, layer by layer, so you harden the thing that actually goes rather than the thing you read about.
BUILT FOR

You, if your architecture only exists in your head.

If you are shipping an AI product and the design lives across three browser tabs and a memory, this gives you the written version. Copy the diagram, swap the services you have already committed to, keep the fallbacks.

Why now The agent layer is new enough that most architecture writing predates it entirely. Every diagram from two years ago has a hole where MCP and long-running agents now sit.

The real payoff arrives the first time something breaks and you already know which layer it is. Debugging stops being archaeology and starts being a checklist.

An architect working on a draft with a pencil and ruler
Photo: Daniel McCullough / Unsplash
UNLOCKS WITH YOUR EMAIL
01stack-diagram.png52 KB
02supabase-config.md2.1 KB
03stripe-vs-fanbasis.md1.6 KB
04deployment-options.md2.8 KB
05monitoring-setup.md1.9 KB
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The Hook: Superset is a free, open-source code editor built to run 10+ AI coding agents at once, each in its own isolated Git worktree. Pair it with Claude Opus 5 inside Claude Code and Codex agents on GPT-5.5, and you've got an AI dev team running on one Mac.

  • One agent = one task at a time. That's the real bottleneck, not the model.
  • Superset isolates every agent in its own Git worktree, so 10 agents can build features, fix bugs, and write tests simultaneously with zero file conflicts.
  • For solo founders: this is how you deliver client builds in days, not weeks. Same team, 5-10x throughput. That's infrastructure, not tools.
  • Client dashboards: One agent builds the frontend, one wires up Supabase, one writes tests. A week-two deliverable becomes a day-two deliverable
  • macOS (Apple Silicon or Intel). Windows and Linux coming soon
  • Git installed
  • GitHub CLI authenticated. Verify with:
  • Download the macOS app from superset.sh/download and drag it into Applications
  • Open source (12.5K+ GitHub stars) and local-first: works offline, syncs when connected
  • Log into each one once (run claude, then codex) so Superset can launch them already authenticated

↑ Unlocks the moment you submit the form above.

RS
WRITTEN BY

Raj Singh

I'm Raj Singh, founder of DebtOps.ai and a Claude certified partner. Over the last five years I've managed $25M in ads, built AI solutions for Fortune 100 companies, and installed AI operating systems and AI brains inside small businesses. Everything here is something I've shipped, debugged, or watched a client ship. My goal with AgileSingh is to make you irreplaceable in this AI age.

$25M
Ads managed · 5 yrs
F100
Enterprise AI builds
Claude
Certified partner
18
Guides shipped
More guides

Now pick the services that fill it.

This is the shape. The 2026 stack guide is the shopping list that fills each box, and the agent guides cover the layer doing the work. Browse the library, or pin a slot and we will draw yours together.