My Go-To Stack for Shipping a Production-Ready App with AI

Most people who ask me about my AI tech stack expect a long list of tools. What they actually need is a lot shorter than that, and the order you use it in matters more than the tools themselves.

Here is the stack I teach and use to build an app with AI, end to end, from a blank folder to a live product taking real payments: Next.js, Supabase, Stripe, and Vercel, with Claude Code as the builder that connects all four. That is it. No 15-tab tool comparison, no framework-of-the-week. Every piece earns its place because it removes a specific point of failure that shows up the moment real users touch your app.

This is the exact stack I walk through in my 8-week live bootcamp, Ship Your First SaaS with Claude Code, and it is worth explaining why each piece is there, not just what it is.

Why This Stack, Not the Alternatives

Adoption of AI coding tools has moved past the experimentation phase. 85% of developers now regularly use AI tools for coding and software design, and 51% of professional developers use them daily, according to the JetBrains 2025 Developer Ecosystem Survey. The bottleneck is no longer whether to use AI to build. It is whether the app that comes out the other end can survive contact with a real user, a real credit card, and a real support request.

That is the filter I apply to every tool in this stack. Not "is it popular," but "does it hold up in production, and can Claude Code operate it well." PostgreSQL, which is what Supabase runs on, is now the single most-used database among developers building with AI, at 55.6% adoption. Next.js and Vercel show the same pattern: they win not because they are trendy, but because their conventions are so well documented that an AI agent can reason about them reliably.

Next.js: The Frontend Framework

Next.js is the application framework, meaning it is the skeleton that holds your pages, your routing, and your server logic together. I pick it over a plain React setup or something like Remix for one practical reason: Claude Code has seen an enormous amount of Next.js code during training, and its conventions (the app router, file-based routing, server components) are rigid enough that the AI rarely improvises in ways that break things. A more flexible framework gives Claude Code more freedom to make a choice you did not ask for.

Supabase: Database, Auth, and Storage in One Place

Supabase gives you a Postgres database, an authentication system, and file storage behind one API and one dashboard. The alternative would be stitching together a separate auth provider, a separate database host, and a separate storage bucket, each with its own SDK, its own environment variables, and its own way of failing. For a non-technical builder or a PM shipping solo, that is three places to debug instead of one.

The other reason I default to Supabase: it plays extremely well with MCP (Model Context Protocol). Claude Code can query your actual schema, inspect your actual rows, and write migrations directly against your real database instead of guessing at table names from memory. That single connection removes an entire category of "the AI assumed a column that doesn't exist" bugs, and it is the same underlying idea behind encoding your own expertise into an MCP server for other parts of your workflow.

Stripe: Payments

Stripe is the only payments provider I use with students, for the same reason most serious SaaS products use it: the documentation is exhaustive, the webhook model is predictable, and Claude Code has an unusually strong grip on the Stripe API because so much public code references it. The part that trips people up is never Stripe itself, it is the webhook: your local machine cannot receive a webhook from Stripe unless you tunnel it, which is where ngrok comes in (more on that below).

Vercel: Deploys and Previews

Vercel is where the app actually goes live. What makes it the right pick over a generic host is the preview deployment: every time you push a branch, Vercel spins up a full, shareable, working version of your app at its own URL. That means you can test a feature on a real domain, with real environment variables, before it ever touches your main branch. For a solo builder without a QA team, that preview link is your QA team.

The Supporting Cast

The four main tools do the heavy lifting, but three smaller tools remove friction at specific steps:

• Postman, for testing your backend APIs directly, independent of your frontend, so you can confirm an endpoint works before you spend time debugging why the UI is not showing data correctly.
• ngrok, which tunnels your local server to a public URL so Stripe (or any external service) can actually deliver webhooks to your machine during development.
• Whimsical and Mobbin, via MCP, for the planning and design side: Whimsical for flows and architecture diagrams Claude Code can read directly, Mobbin for pulling real, screenshotted UI patterns from production apps instead of designing blind.

None of these are optional extras. Skip ngrok and your Stripe integration silently fails locally with no error message telling you why. Skip Postman and you will spend an afternoon assuming your frontend is broken when it is actually your API.

The Build Order That Actually Works

The order you touch these tools in matters as much as the tools themselves. The sequence I teach, and the one I have watched work across dozens of builders in cohorts, mirrors how I map a full PRD to a shipped feature:

1. Frontend prototype first. Get the UI in front of your eyes before you write a single line of backend code. This is where planning before you build catches bad ideas cheaply.
2. Git, GitHub, and app architecture. Once the prototype feels right, lock in version control and decide how the app is actually structured (folders, routes, data flow) before adding real data.
3. Database schema. Design your Supabase tables based on what the prototype actually needs, not what you imagined it would need three weeks ago.
4. Backend APIs. Build the endpoints that read and write to that schema.
5. Authentication. Wire up Supabase Auth once you know exactly which data needs to be gated behind a logged-in user.
6. Stripe integration. Add payments last among the core features, because it depends on having real users and real gated features to sell access to.
7. Production deploy on a public domain. Ship it somewhere a stranger can actually reach.

Building in this order means each layer only gets built once you know exactly what it needs to support. Build the database first and you will guess wrong about your schema. Build auth first and you will gate features that do not exist yet.

What "Ready for Production" Actually Means

A prototype and a production app look identical in a screen recording. The difference only shows up when something goes wrong, and something always goes wrong.

A prototype is ready for production when: your Stripe webhooks are verified and idempotent (so a retried webhook does not double-charge a customer), your database has row-level security so one user cannot read another user's data, your environment variables are separated between preview and production, your auth flow handles a session expiring mid-action without crashing, and you have a way to see errors in production, not just on your laptop.

None of that is glamorous. All of it is the difference between an app you can demo and an app you can take real money through. As Simon Willison, creator of Datasette and co-creator of Django, put it, "My golden rule for production-quality AI-assisted programming is that I won't commit any code to my repository if I couldn't explain exactly what it does to somebody else." That rule holds whether Claude Code wrote the line or you did.

The Core Promise: Nothing Stays a Black Box

The reason I insist on this specific stack, in this specific order, is that every piece is inspectable. When something breaks (and in a real app, something will), you can trace it: was it the frontend, the API, the database, the webhook, or the deploy environment. Claude Code can help you build fast, but it cannot debug what neither of you understands. Learn how Next.js talks to Supabase, how Supabase talks to Stripe through webhooks, how Vercel's environment variables separate your test and live keys, and you have a methodology you can reuse on your next app, and the one after that, not a one-time trick that only worked because Claude Code got lucky. This is also where teaching Claude Code to remember your product's decisions pays off: the next builder in the sequence starts from context instead of from zero.

Where to Learn This Hands-On

If you want to build a real, monetized app with this exact stack over eight weeks, with a cap of 10 students per cohort and personal written feedback from me on your actual code, the next cohort of Ship Your First SaaS with Claude Code runs September 7 to October 26, 2026.

Whichever path you pick, the stack does not change: Next.js, Supabase, Stripe, Vercel, and Claude Code orchestrating the connections between them. Everything else is commentary.