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I used to hate vibe coding. I believed I might write higher code, design cleaner programs, 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 method to construct actual programs.
Sooner or later, I gave in. Since then, I’ve been utilizing Claude Code and OpenCode to construct programs that I’d usually contemplate too advanced for speedy iteration. These embody cost platforms, stablecoin wallets, e book studying functions, and full-stack production-ready net programs. What shocked me was not simply the velocity, however the consistency of outcomes as soon as the best construction and instruments had been in place.
The actual downside most individuals face with vibe coding just isn’t writing code.
It’s selecting the best tech stack.
Frontend, backend, authentication, databases, storage, electronic mail, funds, and deployment all include numerous choices. With out a clear stack, even robust AI coding brokers battle to make good selections. When an agent is given a well-defined and opinionated tech stack, it could 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 software is answerable for, and how you can go from zero to a production-ready system. I may also share a Claude Code pattern immediate and optionally available 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 elements
- 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 perfect in case you are beginning out. You possibly can deploy a full software to Vercel without spending a dime and join managed companies 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 information writes near the UI and take away lots 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 programs 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 info. 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 electronic mail easy and environment-driven.
Stripe Checkout paired with webhooks provides you a dependable method to convert funds into actual entitlements as a substitute 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 purpose 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 selections. Every part 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 complete 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 by way of Vercel
On the finish of this part, you have already got a usable app working in manufacturing, even when the characteristic set is small.
Section 2: Knowledge Security and Entry Management
Lock down person 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: Electronic 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 primarily based on person identification
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 primarily based 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 possibly can substitute “E-book Store + Reader MVP” with your personal concept utilizing the identical Claude Code immediate.
Construct a **E-book 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 E-book Store and Reader with paid entry.
## Construct
- Public pages: touchdown, pricing, e book record
- Auth: join, sign up, reset password
- Protected app: reader dashboard
## Knowledge
- `books`, `chapters`
- Row Degree Safety so customers entry solely their very own information
## Options
- CRUD by way of Server Actions
- Reader view with progress monitoring
- Non-public storage for e book property
- Welcome electronic 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 it’s worthwhile to do is swap Claude Code to Plan Mode, paste the immediate, and alter the concept 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 would 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 concept to a working software with out getting caught on setup or selections.
# Non-compulsory Instruments
These instruments are usually not required to ship the primary model, however they show you how to check, 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 kinds and states | After the dashboard stabilizes |
| Finish-to-end assessments | Playwright | Full person 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 and marketing launches |
| Schema and migrations | Drizzle Package 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 increase past requests |
| Price 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 understand what you measure |
# Closing Ideas
Trendy improvement 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 sooner than ever.
If you’re an information scientist who has by no means touched net improvement, 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 software nearly instantly.
It took me practically three months to check and examine instruments earlier than selecting this stack. Beginning right here will prevent that point.
If you need extra flexibility later, you’ll be able to cut up issues out. For instance, use Neon for the database, Clerk for authentication, and preserve the whole lot else the identical. Spreading duties throughout instruments makes it simpler to switch 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 an authorized 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 students fighting psychological sickness.
