Technology stack for current Vibe coding applications

I used to hate vibration coding. I believed I could write better code, design cleaner systems, and make more informed architectural decisions on my own. For a long time, this was probably true. Over time, everything changed. AI agents have improved significantly. MCP servers, Claude skills, agent workflows, planning-to-execution, and long-horizon coding tools have taken vibration coding from a gimmick to a practical way to build real systems.

At some point I gave in. Since then, I have used Claude Code and OpenCode to create systems that I would normally consider too convoluted to iterate quickly. These include payment platforms, stablecoin wallets, book reading apps, and full-stack production-ready web systems. I was surprised not only by the speed, but also by the consistency of the results after using the appropriate structure and tools.

The real problem most people have with vibration coding is the lack of writing code.

It’s choosing the right technology stack.

Frontend, backend, authentication, databases, storage, email, payments, and deployment offer countless options. Without a spotless stack, even robust AI coding agents struggle to make good decisions. Once an agent has a well-defined and well-thought-out technology stack, they can reliably build an end-to-end application with much less hassle.

This is the focus of this article.

I’ll be covering my tech stack for coding current apps in the form of vibes. This is the stack I reuse because it works. We’ll discuss how the pieces fit together, what each tool does, and how to go from scratch to a production-ready system. I’ll also provide a sample Claude Code prompt and optional tools to lend a hand you turn a working prototype into a production-ready system.

# My tech stack and why this stack works

In this section, I’ll take a deep dive into the tech stack I apply for vibration coding and why these tools work so well together when building real applications.

Stack

• Next.js (application router) -> Frontend and layouts
• shadcn/ui -> User Interface Components
• Server actions + routes -> Backend logic and webhooks
• Supabase -> Database, authorization, storage
• Resend -> Transactional emails
• Stripe -> Payments and subscriptions
• Vercel -> Implementation and previews

This stack is intentionally elementary. You can take advantage of the free tier of every platform listed here, making it perfect if you’re just starting out. You can deploy your full application in Vercel for free and connect managed services with no upfront costs.

Why this stack scales without mess

As your application grows, most of the work is done by two Next.js primitives:

1. Server activities handle form submissions and server-side mutations. They keep data records close to the user interface and remove many of the templates that tend to show up early.
2. People operating the routes support webhooks, health checks and custom endpoints. This provides a spotless place for external systems to communicate with the application without polluting the user interface logic.

Supabase provides database, authentication and storage with a security model that works close to the data. If you enable row-level security in advance, authorization will remain consistent as your system grows, avoiding painful migrations later.

Resend makes transactional email elementary and tailored to your environment.

Striped money combined with webhooks, it provides a reliable way to convert payments into actual entitlements instead of scattered feature flags.

Vercel ensures consistency between preview and production deployments, so you’re testing in real environments from day one.

This stack works well for vibration coding because it is feedback-based, predictable, and uncomplicated to reason with for the AI ​​coding agent. Once the boundaries are clear, the system almost builds itself.

# Build a plan from scratch to paid MVP

This build plan is designed to encode vibrations using real tools. The goal is to obtain approx first, the skeleton is ready for productionand then add opportunities in tiny phases without interrupting previous decisions. Each phase maps directly to the stack you’re using, so the AI ​​coding agent can follow it end-to-end.

Phase 1: MVP Foundation

Build a complete product loop with minimal scope.

• Organize something Next.js (application router) project with Vercel application
• Dashboard shell and navigation using shadcn/ui
• Authentication flows using Supabase authorization (registration, login, reset)
• One primary table owned by user w Supabase Postgres
• CRUD screens powered by Next.js server actions
• Preview your deployments with every change via Vercel

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

Phase 2: Data security and access control

Lock user data before adding more features.

• Switch on Row-level security in user-owned tables in Supabase
• Define read and write policies based on ownership
• Exploit consistent patterns such as owner_id, created_at, updated_at
• Validate access rules with real UI flows, not just SQL

This phase prevents future rewrites and ensures security adapts to how the application actually works.

Phase 3: Email and storage

Add trust and file support.

• Transactional emails via Resend (greeting, verification, resets)
• Using private storage buckets Supabase Magazine
• Upload flows that follow the same ownership rules as your database
• Signed URLs or controlled access based on user identity

At this point the product starts to feel complete rather than experimental.

Phase 4: Settlement and entitlements

Turn usage into revenue.

• Create Striped money sessions and redirect users
• Handle Striped web hooks with Next.js route handlers
• Store your subscription or purchase status in Supabase
• Premium Gate features based on stored permissions
• Make webhook handling idempotent by using processed event IDs

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

# Claude Code startup prompt

You can exchange “Bookstore + Reader’s MVP” according to your own idea, using the same hint from Claude Code.

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
- Pristine 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 switch to Claude Code Plan modepaste the prompt and change the idea or adjust the scope to your needs.

Once you start, Claude will first plan the system and then start building step by step, frictionless. It will also guide you through configuring required services, creating accounts on external platforms, and generating API keys, if necessary.

This makes it easier to go from an idea to a working application without having to stop over configuration and decision-making.

# Optional tools

These tools are not required to deliver the first release, but lend a hand you test, monitor and improve your application as you actually apply it.

# Final thoughts

Newfangled programming and engineering tools are developing rapidly. Most of them are now designed with AI integration in mind, offering good documentation, APIs, and MCP-style access so that AI agents can interact directly with them and build software faster than ever.

If you’re a data scientist who’s never dabbled in web development, or a complete beginner looking to build something real or launch a startup, I highly recommend starting with this tech stack. It requires minimal configuration and allows almost immediate deployment of a working application.

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

If you need more flexibility later, you can divide the tasks. For example apply Neon for database, Clerk for authentication and leave everything else unchanged. Spreading responsibility across tools makes it easier to replace one part without damaging the others as the system evolves.

Start elementary, ship early, and only expand as needed.

Abid Ali Awan (@1abidaliawan) is a certified data science professional who loves building machine learning models. Currently, he focuses on creating content and writing technical blogs about machine learning and data science technologies. Abid holds a Master’s degree in Technology Management and a Bachelor’s degree in Telecommunications Engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.