Tech Stack for Vibe Coding Today's Applications

I used to hate writing about vibe. I believed I could write better code, design cleaner systems, and make thoughtful architectural decisions on my own. For a long time that was probably true. Over time, things changed. AI agents are more advanced. MCP servers, Claude's capabilities, agent workflows, initialization, and long-horizon coding tools turned vibe coding from a gimmick into a viable way to build real systems.

At one point, I agreed. Since then, I've been using Claude Code and OpenCode to build systems that I often consider too complex to iterate quickly. These include payment platforms, stablecoin wallets, e-reading applications, and fully production-ready web applications. What surprised me was not just the speed, but the consistency of the results when the right structure and tools are in place.

The real problem that many people face with vibe coding is not writing the code.

It chooses the right technology stack.

Frontend, backend, authentication, database, storage, email, payments, and shipping all come with many options. Without a clear stack, even the strongest AI coding agents struggle to make good decisions. If an agent is given a well-defined and conceptualized technology stack, it can reliably construct an action plan with minimal conflict.

That is what this article focuses on.

I'm going to walk through my go-to tech stack to code the vibe into modern apps. This is the stack I use again and again because it works. We'll cover how the pieces fit together, what each tool is responsible for, and how to go from zero to a production-ready system. I'll also share Claude's sample code and optional tools that help turn a working prototype into a production-ready system.

# My Technology Stack and Why This Stack Works

In this section, I'll break down the exact technology stack I use to write vibe and explain why these tools work so well together when I'm building real apps.

The stack

• Next.js (App Router) -> Front and buildings
• shadcn/ui -> UI components
• Server Actions + Routes -> Backend logic and webhooks
• Supabase -> Database, auth, storage
• Repost -> Transaction emails
• The stripe -> Payments and subscriptions
• Vercel -> Deployment and preview

This stack is intentionally simple. You can use the free tier for every platform listed here, making it ideal for beginners. You can deploy a full application to Vercel for free and connect managed services without upfront costs.

Why This Stack Scales Without Pollution

Two Next.js primitives do most of the heavy lifting as the application grows:

1. Server Actions handle form submissions and server-side conversions. They keep the data writing close to the UI and remove a lot of boilerplate that often appears early.
2. Route handlers handle webhooks, health checks, and custom endpoints. This gives you a clean environment for external systems to talk to your app without polluting your UI logic.

Supabase it provides database, authentication, and storage with a security model that lives close to the data. If you enable Line-Level Security early, authorization remains the same as the system grows and you avoid painful migrations later.

Repost keeps transactional email simple and driven in nature.

Stripe Checkout paired with webhooks it gives you a reliable way to convert payments into real attributes instead of scattered feature flags.

Vercel keeps previews and production deployments in sync, so you're testing in real-time locations from day one.

This stack works well for vibe coding because it's intuitive, predictable, and easy for an AI coding agent to reason about. Once the boundaries are clear, the system almost builds itself.

# Build a Program from Zero to a paid MVP

This build is designed for vibe coding with real tools. The objective is to find a a skeleton ready for production firstthen add power in small steps without breaking previous decisions. Each stage maps directly to the stack you're using, so the code's AI agent can follow it end-to-end.

Phase 1: MVP foundation

Build a full product loop with a narrow scope.

• Set up Next.js (App Router) project with Vercel shipment
• Dashboard shell and navigation are used shadcn/ui
• Authentication flows are used Supabase Auth (register, login, reset)
• One table with user IDs in it Supabase Postgres
• CRUD screens are powered by Next.js Server Actions
• Preview the deployment of every change with Vercel

By the end of this phase, you already have a usable application running in production, even if the feature set is small.

Section 2: Data Security and Access Control

Turn off user data before adding additional features.

• Empower Line Level Security in user-managed tables in Supabase
• Define identity-based literacy policies
• Use consistent patterns like owner_id, created_at, updated_at
• Validate access rules with actual UI flow, not just SQL

This section prevents future rewrites and keeps security consistent with how the application actually works.

Section 3: Email and Storage

Add trust and file management.

• Transaction emails with Repost (Welcome, confirm, reorder)
• Private storage buckets you use Supabase Storage
• Upload a stream that respects the same copyright laws as your website
• Signed URLs or controlled access based on user identity

This is when the product starts to feel complete instead of experimental.

Section 4: Fees and Rights

Convert consumption to income.

• Create Stripe Checkout times and redirect users
• Hold on Lined webhooks With Next.js Route Handlers
• Maintain subscription or purchase status in Supabase
• Premium features of the gateway based on reserved rights
• Disable webhook capture using processed event IDs

By the end of this phase, you have a paid MVP that can scale without changing the core architecture.

# Claude Code Starter Prompt

You can substitute “Bookstore + Reading MVP” in your opinion you are using the same Claude Code prompt.

Build a **Book Shop + Reader MVP** using this stack:
- Next.js App Router  
- shadcn/ui  
- Supabase (Postgres, Auth, Storage)  
- Resend  
- Stripe (Checkout + webhooks)  
- Vercel  

## Goal
Ship a production-ready Book Shop and Reader with paid access.

## Build
- Public pages: landing, pricing, book list  
- Auth: sign up, sign in, reset password  
- Protected app: reader dashboard  

## Data
- `books`, `chapters`
- Row Level Security so users access only their own data

## Features
- CRUD via Server Actions  
- Reader view with progress tracking  
- Private storage for book assets  
- Welcome email  
- Stripe Checkout + webhook-based entitlements  

## Output
- Clean app structure
- Minimal dependencies
- README with setup, env vars, migrations, Stripe, and Vercel steps
- Manual verification checklist per feature

All you need to do is change the Claude Code Editing modePaste the information, and change the concept or modify the scope based on your needs.

Once you start, Claude will plan the plan first and then start building step by step without conflict. It will also guide you through setting up the necessary resources, creating accounts on third-party platforms, and generating API keys where needed.

This makes it easy to go from idea to implementation without getting stuck on setups or decisions.

# Optional Tools

These tools are not required to ship the first version, but they help you test, monitor, and strengthen the application as it grows with actual use.

# Final thoughts

Modern development tools and engineering are advancing rapidly. Many of them are now designed with AI integration in mind, offering rich documentation, APIs, and MCP-style access so AI agents can interact directly with them and build software faster than ever.

If you are a data scientist who has never touched web development, or a complete beginner who wants to build something real or launch a startup, I strongly recommend starting with this technology stack. It requires little setup and allows you to use a working application almost immediately.

It took me about three months of testing and comparing tools before settling on this stack. Starting here will save you that time.

If you want more flexibility over time, you can split things up. For example, use Neon in the database, A clerk for confirmation, and keep everything else the same. Distributing responsibilities across tools makes it easy to change one component without breaking another as your system grows.

Start simple, ship early, and evolve only when you need to.

Abid Ali Awan (@1abidiawan) is a data science expert with a passion for building machine learning models. Currently, he specializes in content creation and technical blogging on machine learning and data science technologies. Abid holds a Master's degree in technology management and a bachelor's degree in telecommunication engineering. His idea is to create an AI product using a graph neural network for students with mental illness.