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I used to hate vibe coding. I believed I might write higher code, design cleaner techniques, and make extra considerate architectural choices by myself. For a very long time, that was in all probability true. Over time, issues modified. AI brokers improved considerably. MCP servers, Claude abilities, agent workflows, planning-first execution, and long-horizon coding instruments turned vibe coding from a gimmick right into a sensible strategy to construct actual techniques.
In some unspecified time in the future, I gave in. Since then, I’ve been utilizing Claude Code and OpenCode to construct techniques that I might usually contemplate too advanced for fast iteration. These embody fee platforms, stablecoin wallets, e-book studying purposes, and full-stack production-ready internet techniques. What shocked me was not simply the velocity, however the consistency of outcomes as soon as the suitable construction and instruments have been in place.
The true drawback most individuals face with vibe coding just isn’t writing code.
It’s selecting the best tech stack.
Frontend, backend, authentication, databases, storage, e-mail, funds, and deployment all include numerous choices. With no clear stack, even robust AI coding brokers wrestle to make good choices. When an agent is given a well-defined and opinionated tech stack, it will possibly reliably construct an end-to-end software with far much less friction.
That’s what this text focuses on.
I’ll stroll by means of my go-to tech stack for vibe coding fashionable purposes. 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 best way to go from zero to a production-ready system. I will even share a Claude Code pattern immediate and elective 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 exploit for vibe coding and clarify why these instruments work so effectively collectively when constructing actual purposes.
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 should utilize the free tier of each platform listed right here, which makes it supreme in case you are beginning out. You possibly can deploy a full software to Vercel without cost and join managed providers with out upfront price.
Why This Stack Scales With out Getting Messy
Two Subsequent.js primitives do a lot of the heavy lifting because the app grows:
- Server Actions deal with type submissions and server-side mutations. They preserve knowledge writes near the UI and take away numerous 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 information. Should you 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 strategy to convert funds into actual entitlements as a substitute of scattered function flags.
Vercel retains preview and manufacturing deployments aligned, so you’re testing in actual environments from day one.
This stack works effectively for vibe coding as a result of it’s opinionated, predictable, and simple for an AI coding agent to motive 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 aim is to get a production-ready skeleton first, then add functionality in small phases with out breaking earlier choices. Every section maps on to the stack you’re utilizing, so an AI coding agent can observe it finish to finish.
Section 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 section, you have already got a usable app operating in manufacturing, even when the function set is small.
Section 2: Information 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 by means of actual UI flows, not simply SQL
This section prevents future rewrites and retains safety aligned with how the app truly works.
Section 3: E-mail and Storage
Add belief and file dealing with.
- Transactional emails by way of Resend (welcome, verification, resets)
- Non-public 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 id
That is the place the product begins to really feel full as a substitute of experimental.
Section 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 section, you’ve gotten a paid MVP that may scale with out altering core structure.
# Claude Code Starter Immediate
You possibly can substitute “Guide Store + Reader MVP” with your personal concept utilizing the identical Claude Code immediate.
Construct a **Guide Store + Reader MVP** utilizing this stack:
- Subsequent.js App Router
- shadcn/ui
- Supabase (Postgres, Auth, Storage)
- Resend
- Stripe (Checkout + webhooks)
- Vercel
## Purpose
Ship a production-ready Guide Store and Reader with paid entry.
## Construct
- Public pages: touchdown, pricing, e-book listing
- Auth: enroll, sign up, reset password
- Protected app: reader dashboard
## Information
- `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
- Non-public storage for e-book 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
- Guide verification guidelines per function
All you have to do is change Claude Code to Plan Mode, paste the immediate, and alter the concept or regulate 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’ll additionally information you thru establishing required providers, creating accounts on third-party platforms, and producing API keys the place wanted.
This makes it simple to go from an concept to a working software with out getting caught on setup or choices.
# Non-compulsory Instruments
These instruments aren’t required to ship the primary model, however they allow you to take a look at, monitor, and harden the applying because it grows in actual utilization.
| Class | Device choices | What it helps with | When so as to add it |
|---|---|---|---|
| Unit exams | Vitest | Quick exams for utilities and server logic | As soon as core CRUD works |
| Element exams | React Testing Library | Catch UI regressions in varieties and states | After the dashboard stabilizes |
| Finish-to-end exams | 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 Package or SQL migrations | Repeatable schema modifications | The second you’ve gotten 2+ tables |
| Background jobs | Inngest or Set off.dev | Async work: emails, exports, cleanup | When workflows broaden past requests |
| Fee limiting | Upstash Redis (or comparable) | Shield auth endpoints and webhooks | When site visitors turns into actual |
| Product analytics | PostHog (or comparable) | Funnels, activation, function utilization | After what you measure |
# Closing 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 immediately and construct software program sooner than ever.
If you’re an information scientist who has by no means touched internet growth, or a whole newbie who desires to construct one thing actual or launch a startup, I strongly suggest beginning with this tech stack. It requires minimal setup and allows you to deploy a working software nearly instantly.
It took me practically three months to check and evaluate instruments earlier than selecting this stack. Beginning right here will prevent that point.
If you would like extra flexibility later, you may cut up issues out. For instance, use Neon for the database, Clerk for authentication, and preserve all the things else the identical. Spreading duties throughout instruments makes it simpler to interchange one half with out breaking the remaining as your system grows.
Begin easy, ship early, and evolve solely when you have to.
Abid Ali Awan (@1abidaliawan) is an authorized knowledge scientist skilled who loves constructing machine studying fashions. At the moment, 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 students combating psychological sickness.
