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I used to hate vibe coding. I believed I may write higher code, design cleaner techniques, and make extra considerate architectural selections alone. For a very long time, that was in all probability true. Over time, issues modified. AI brokers improved considerably. MCP servers, Claude expertise, agent workflows, planning-first execution, and long-horizon coding instruments turned vibe coding from a gimmick right into a sensible solution to construct actual techniques.
Sooner or later, I gave in. Since then, I’ve been utilizing Claude Code and OpenCode to construct techniques that I’d usually think about too advanced for speedy iteration. These embrace cost platforms, stablecoin wallets, ebook studying functions, and full-stack production-ready net techniques. What stunned me was not simply the pace, however the consistency of outcomes as soon as the proper construction and instruments had been in place.
The true downside most individuals face with vibe coding isn’t writing code.
It’s choosing the proper tech stack.
Frontend, backend, authentication, databases, storage, e-mail, funds, and deployment all include numerous choices. And not using a clear stack, even sturdy AI coding brokers wrestle to make good selections. When an agent is given a well-defined and opinionated tech stack, it may well reliably construct an end-to-end software with far much less friction.
That’s what this text focuses on.
I’ll stroll via my go-to tech stack for vibe coding fashionable functions. That is the stack I reuse as a result of it really works. We are going to cowl how the items match collectively, what every device is answerable for, and the way to go from zero to a production-ready system. I can even share a Claude Code pattern immediate and non-compulsory instruments that assist flip a working prototype right into a system prepared for manufacturing.
# My Tech Stack and Why This Stack Works
On this part, I’ll break down the precise tech stack I take advantage of for vibe coding and clarify why these instruments work so nicely collectively when constructing actual functions.
The Stack
- Subsequent.js (App Router) -> Frontend and layouts
- shadcn/ui -> UI parts
- Server Actions + Routes -> Backend logic and webhooks
- Supabase -> Database, auth, storage
- Resend -> Transactional emails
- Stripe -> Funds and subscriptions
- Vercel -> Deployment and previews
This stack is deliberately easy. You need to use the free tier of each platform listed right here, which makes it best if you’re beginning out. You’ll be able to deploy a full software to Vercel free of charge and join managed companies with out upfront value.
Why This Stack Scales With out Getting Messy
Two Subsequent.js primitives do many of the heavy lifting because the app grows:
- Server Actions deal with type submissions and server-side mutations. They hold knowledge writes near the UI and take away a number of boilerplate that usually seems early.
- Route Handlers deal with webhooks, well being checks, and customized endpoints. This provides you a clear place for exterior techniques to speak to your app with out polluting your UI logic.
Supabase offers you database, authentication, and storage with a safety mannequin that lives near the info. If you happen to allow Row Degree Safety early, authorization stays constant because the system grows and also you keep away from painful migrations later.
Resend retains transactional e-mail easy and environment-driven.
Stripe Checkout paired with webhooks offers you a dependable solution to convert funds into actual entitlements as a substitute of scattered characteristic flags.
Vercel retains preview and manufacturing deployments aligned, so you might be testing in actual environments from day one.
This stack works nicely for vibe coding as a result of it’s opinionated, predictable, and simple for an AI coding agent to cause about. As soon as the boundaries are clear, the system nearly builds itself.
# Construct Plan from Zero to a Paid MVP
This construct plan is designed for vibe coding with actual instruments. The purpose is to get a production-ready skeleton first, then add functionality in small phases with out breaking earlier selections. Every part maps on to the stack you might be utilizing, so an AI coding agent can comply with it finish to finish.
Part 1: MVP Basis
Construct the total product loop with minimal scope.
- Arrange Subsequent.js (App Router) venture with Vercel deployment
- Dashboard shell and navigation utilizing shadcn/ui
- Authentication flows utilizing Supabase Auth (signup, login, reset)
- One core user-owned desk in Supabase Postgres
- CRUD screens powered by Subsequent.js Server Actions
- Preview deployments on each change by way of Vercel
On the finish of this part, you have already got a usable app operating in manufacturing, even when the characteristic set is small.
Part 2: Knowledge Security and Entry Management
Lock down consumer knowledge earlier than including extra options.
- Allow Row Degree Safety on user-owned tables in Supabase
- Outline learn and write insurance policies based mostly on possession
- Use constant patterns like owner_id, created_at, updated_at
- Validate entry guidelines via actual UI flows, not simply SQL
This part prevents future rewrites and retains safety aligned with how the app really works.
Part 3: Electronic mail and Storage
Add belief and file dealing with.
- Transactional emails by way of Resend (welcome, verification, resets)
- Personal storage buckets utilizing Supabase Storage
- Add flows that respect the identical possession guidelines as your database
- Signed URLs or managed entry based mostly on consumer identification
That is the place the product begins to really feel full as a substitute of experimental.
Part 4: Billing and Entitlements
Flip utilization into income.
- Create Stripe Checkout periods and redirect customers
- Deal with Stripe webhooks with Subsequent.js Route Handlers
- Retailer subscription or buy state in Supabase
- Gate premium options based mostly on saved entitlements
- Make webhook dealing with idempotent utilizing processed occasion IDs
By the tip of this part, you’ve got a paid MVP that may scale with out altering core structure.
# Claude Code Starter Immediate
You’ll be able to substitute “Ebook Store + Reader MVP” with your individual thought utilizing the identical Claude Code immediate.
Construct a **Ebook Store + Reader MVP** utilizing this stack:
- Subsequent.js App Router
- shadcn/ui
- Supabase (Postgres, Auth, Storage)
- Resend
- Stripe (Checkout + webhooks)
- Vercel
## Objective
Ship a production-ready Ebook Store and Reader with paid entry.
## Construct
- Public pages: touchdown, pricing, ebook record
- Auth: join, check in, reset password
- Protected app: reader dashboard
## Knowledge
- `books`, `chapters`
- Row Degree Safety so customers entry solely their very own knowledge
## Options
- CRUD by way of Server Actions
- Reader view with progress monitoring
- Personal storage for ebook belongings
- Welcome e-mail
- Stripe Checkout + webhook-based entitlements
## Output
- Clear app construction
- Minimal dependencies
- README with setup, env vars, migrations, Stripe, and Vercel steps
- Handbook verification guidelines per characteristic
All you might want to do is change Claude Code to Plan Mode, paste the immediate, and alter the concept or modify the scope based mostly in your wants.
When you begin, Claude will plan the system first after which start constructing step-by-step with out friction. It should additionally information you thru organising required companies, creating accounts on third-party platforms, and producing API keys the place wanted.
This makes it straightforward to go from an thought to a working software with out getting caught on setup or selections.
# Non-compulsory Instruments
These instruments aren’t required to ship the primary model, however they enable you check, monitor, and harden the applying because it grows in actual utilization.
| Class | Instrument choices | What it helps with | When so as to add it |
|---|---|---|---|
| Unit checks | Vitest | Quick checks for utilities and server logic | As soon as core CRUD works |
| Element checks | React Testing Library | Catch UI regressions in kinds and states | After the dashboard stabilizes |
| Finish-to-end checks | Playwright | Full consumer flows: signup → create → pay | Earlier than including extra options |
| Error monitoring | Sentry | Stack traces, launch well being, alerting | As quickly as actual customers arrive |
| Logs | Axiom or Logtail | Searchable request logs, webhook debugging | When webhooks and billing go stay |
| Efficiency checks | Lighthouse (CI) | Catch gradual pages and outsized bundles | Earlier than advertising launches |
| Schema and migrations | Drizzle Equipment or SQL migrations | Repeatable schema adjustments | The second you’ve got 2+ tables |
| Background jobs | Inngest or Set off.dev | Async work: emails, exports, cleanup | When workflows develop past requests |
| Charge limiting | Upstash Redis (or comparable) | Shield auth endpoints and webhooks | When site visitors turns into actual |
| Product analytics | PostHog (or comparable) | Funnels, activation, characteristic utilization | After you realize what you measure |
# Ultimate Ideas
Fashionable growth and engineering instruments are evolving quick. Most of them at the moment are designed with AI integration in thoughts, providing good documentation, APIs, and MCP-style entry so AI brokers can work with them instantly and construct software program quicker than ever.
In case you are a knowledge scientist who has by no means touched net growth, or an entire newbie who needs to construct one thing actual or launch a startup, I strongly advocate beginning with this tech stack. It requires minimal setup and allows you to deploy a working software nearly instantly.
It took me almost three months to check and evaluate instruments earlier than selecting this stack. Beginning right here will prevent that point.
In order for you extra flexibility later, you’ll be able to break up issues out. For instance, use Neon for the database, Clerk for authentication, and hold every part else the identical. Spreading duties throughout instruments makes it simpler to exchange one half with out breaking the remaining as your system grows.
Begin easy, ship early, and evolve solely when you might want to.
Abid Ali Awan (@1abidaliawan) is a licensed knowledge scientist skilled who loves constructing machine studying fashions. Presently, he’s specializing in content material creation and writing technical blogs on machine studying and knowledge science applied sciences. Abid holds a Grasp’s diploma in know-how administration and a bachelor’s diploma in telecommunication engineering. His imaginative and prescient is to construct an AI product utilizing a graph neural community for college kids fighting psychological sickness.
