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I used to hate vibe coding. I believed I may write higher code, design cleaner methods, and make extra considerate architectural choices alone. For a very long time, that was most likely 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 method to construct actual methods.
Sooner or later, I gave in. Since then, I’ve been utilizing Claude Code and OpenCode to construct methods that I might usually contemplate too advanced for speedy iteration. These embody fee platforms, stablecoin wallets, ebook studying functions, and full-stack production-ready net methods. What shocked me was not simply the pace, however the consistency of outcomes as soon as the fitting construction and instruments had been in place.
The actual downside most individuals face with vibe coding shouldn’t be writing code.
It’s selecting the best tech stack.
Frontend, backend, authentication, databases, storage, e mail, funds, and deployment all include numerous choices. With out a clear stack, even sturdy AI coding brokers battle to make good choices. When an agent is given a well-defined and opinionated tech stack, it will probably reliably construct an end-to-end utility with far much less friction.
That’s what this text focuses on.
I’ll stroll via my go-to tech stack for vibe coding trendy functions. That is the stack I reuse as a result of it really works. We’ll cowl how the items match collectively, what every instrument is chargeable for, and the way to go from zero to a production-ready system. I may even share a Claude Code pattern immediate and non-obligatory 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 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 should use the free tier of each platform listed right here, which makes it very best if you’re beginning out. You may deploy a full utility to Vercel free of charge and join managed providers with out upfront value.
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 maintain information writes near the UI and take away loads of boilerplate that usually seems early.
- Route Handlers deal with webhooks, well being checks, and customized endpoints. This offers you a clear place for exterior methods to speak to your app with out polluting your UI logic.
Supabase provides you database, authentication, and storage with a safety mannequin that lives near the information. When 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 provides you a dependable method to convert funds into actual entitlements as an alternative of scattered characteristic 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 straightforward for an AI coding agent to cause about. As soon as the boundaries are clear, the system virtually builds itself.
# Construct Plan from Zero to a Paid MVP
This construct plan is designed for vibe coding with actual instruments. The objective is to get a production-ready skeleton first, then add functionality in small phases with out breaking earlier choices. Every part maps on to the stack you’re utilizing, so an AI coding agent can comply with it finish to finish.
Section 1: MVP Basis
Construct the total product loop with minimal scope.
- Arrange Subsequent.js (App Router) challenge 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 through Vercel
On the finish of this part, you have already got a usable app operating in manufacturing, even when the characteristic set is small.
Section 2: Information Security and Entry Management
Lock down consumer information earlier than including extra options.
- Allow Row Degree Safety on user-owned tables in Supabase
- Outline learn and write insurance policies primarily based 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.
Section 3: E mail and Storage
Add belief and file dealing with.
- Transactional emails through 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 primarily based on consumer identification
That is the place the product begins to really feel full as an alternative 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 primarily based on saved entitlements
- Make webhook dealing with idempotent utilizing processed occasion IDs
By the tip of this part, you have got a paid MVP that may scale with out altering core structure.
# Claude Code Starter Immediate
You may 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
## Purpose
Ship a production-ready Ebook Store and Reader with paid entry.
## Construct
- Public pages: touchdown, pricing, ebook checklist
- Auth: enroll, check in, reset password
- Protected app: reader dashboard
## Information
- `books`, `chapters`
- Row Degree Safety so customers entry solely their very own information
## Options
- CRUD through Server Actions
- Reader view with progress monitoring
- Non-public 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
- Guide verification guidelines per characteristic
All it’s worthwhile to do is swap Claude Code to Plan Mode, paste the immediate, and alter the thought or regulate the scope primarily based 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 organising required providers, 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 utility with out getting caught on setup or choices.
# Optionally available Instruments
These instruments are usually not required to ship the primary model, however they make it easier to take a look at, monitor, and harden the appliance because it grows in actual utilization.
| Class | Instrument choices | What it helps with | When so as to add it |
|---|---|---|---|
| Unit assessments | Vitest | Quick assessments for utilities and server logic | As soon as core CRUD works |
| Element assessments | React Testing Library | Catch UI regressions in types and states | After the dashboard stabilizes |
| Finish-to-end assessments | 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 dwell |
| Efficiency checks | Lighthouse (CI) | Catch sluggish pages and outsized bundles | Earlier than advertising launches |
| Schema and migrations | Drizzle Equipment or SQL migrations | Repeatable schema modifications | The second you have got 2+ tables |
| Background jobs | Inngest or Set off.dev | Async work: emails, exports, cleanup | When workflows develop past requests |
| Fee limiting | Upstash Redis (or related) | Defend auth endpoints and webhooks | When visitors turns into actual |
| Product analytics | PostHog (or related) | Funnels, activation, characteristic utilization | After what you measure |
# Ultimate Ideas
Trendy growth and engineering instruments are evolving quick. Most of them are actually 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 quicker than ever.
If you’re a knowledge scientist who has by no means touched net growth, or a whole newbie who desires 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 utility virtually 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 maintain every part else the identical. Spreading tasks 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 it’s worthwhile to.
Abid Ali Awan (@1abidaliawan) is a licensed information scientist skilled who loves constructing machine studying fashions. Presently, he’s specializing in content material creation and writing technical blogs on machine studying and information science applied sciences. Abid holds a Grasp’s diploma in expertise 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 combating psychological sickness.
