Vibe Coding Tech Stack for Modern Applications

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I hated vibe coding. I believed I could write better code, design cleaner systems, and make more thoughtful architectural decisions on my own. For a long time, this was probably true. Things changed with time. AI agents improved significantly. MCP servers, cloud skills, agent workflows, plan-first execution, and long-horizon coding tools transformed vibe coding from a gimmick into a practical way of building real systems.

At some point, I gave up. Since then, I’ve been using cloud code and OpenCode to build systems that I typically consider too complex for rapid iteration. These include payment platforms, stablecoin wallets, book reading applications, and full-stack production-ready web systems. What surprised me was not just the speed, but also the consistency of the results once the right structure and tools were in place.

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

It’s choosing the right technology stack.

Frontend, backend, authentication, databases, storage, email, payments, and deployment all come with countless options. Without a clear stack, even strong AI coding agents struggle to make good decisions. When an agent is given a well-defined and thoughtful technology stack, it can reliably build end-to-end applications with very little friction.

This article focuses on this.

I will walk through my tech stack for vibe coding modern applications. This is the stack I reuse 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 a cloud code sample prompt and optional tools that help transform a working prototype into a production-ready system.

# My Tech Stack and Why This Stack Works

In this section, I’ll break down the exact tech stack I use for Vibe coding and explain why these tools work so well together when building real applications.

heap

Next.js (App Router) -> Frontend and Layout
shadcn/ui -> UI components
Server Actions + Route -> Backend logic and webhooks
SupaBase -> Database, Authentication, Storage
Resend -> Transactional Email
strip -> Payments and Subscriptions
Versailles ->Deployment and Preview

This stack is intentionally simple. You can use the free tier of each platform listed here, which is ideal if you’re starting out. You can deploy a full application in Vercel for free and connect managed services with no upfront costs.

Why does this stack grow without getting messy?

As the app grows, two Next.js primitives do most of the heavy lifting:

Server Actions Handle form submissions and server-side mutations. They keep data rights closer to the UI and remove a lot of the boilerplate that normally appears quickly.
route handler Handle webhooks, health checks, and custom endpoints. This gives a clean place for external systems to talk to your app without polluting your UI logic.

SupaBase Provides you with databases, authentication, and storage with a security model that stays close to the data. If you enable row level security early, authorization remains consistent as the system grows and you avoid painful migrations later.

Resend Keeps transactional emails simple and eco-friendly.

stripe checkout Paired with webhooks you get a reliable way to turn payments into actual entitlements rather than scattered feature flags.

Versailles Keeps preview and production deployments aligned, so you’re testing in a real environment from day one.

This stack vibe works well for coding because it is thoughtful, predictable, and easy for the AI coding agent to reason about. Once the limitations are clear, the system almost builds itself.

# Plan from zero to paid MVP

This build plan is designed to vibe coding with real tools. the goal is to achieve a skeleton ready for first productionThen add capacity in small steps without breaking earlier decisions. Each step maps directly to the stack you’re using, so an AI coding agent can follow it from start to finish.

Step 1: MVP Foundation

Create full product loops with minimal scope.

to install Next.js (App Router) project with Versailles deployment
Using the Dashboard Shell and Navigation shadcn/ui
Authentication flows using SupaBase Auth (Signup, Login, Reset)
a main user-owned table Supabase Postgres
Powered by CRUD Screen Next.js Server Actions
Preview deployment on each change Versailles

At the end of this stage, you already have a usable app running in production, even if the feature set is small.

Step 2: Data Security and Access Control

Lock down user data before adding more features.

Able row level security On user owned tables in Supabase
Define read and write policies based on ownership
Use consistent patterns like owner_id, created_at, updated_at
Validate access rules through actual UI flow, not just SQL

This step prevents future rewrites and keeps security aligned with how the app actually works.

Step 3: Email and Storage

Add trust and file management.

Via transactional email Resend (Welcome, Verify, Reset)
use of private storage buckets Supabase Storage
Upload flows that respect the same ownership rules as your database
Signed URLs or controlled access based on user identity

This is where the product starts to feel complete rather than experimental.

Step 4: Billing and Entitlements

Convert usage to revenue.

create stripe checkout Redirect sessions and users
handle striped webhook Next.js with route handlers
Store subscription or purchase status in Supabase
Gate Premium Features based on Stored Entitlements
Disable webhook handling using processed event ID

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

# cloud code starter prompt

you can replace “Bookstore + Reader MVP” With your own idea using the same cloud 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 have to do is switch cloud codes planning modePaste the prompt, and change the idea or adjust the scope based on your needs.

Once you get started, the cloud will first plan the system and then start building step by step without any interruption. It will also guide you in setting up the required services, creating accounts on third-party platforms, and generating API keys where necessary.

This makes it easier to go from an idea to a working application without getting stuck on setup or decisions.

# optional equipment

These tools are not required to ship the first version, but they help you test, monitor, and harden the application as actual usage grows.

Social class	equipment options	what does it help	when to add it
unit test	wittest	Fast testing for utilities and server logic	Once core CRUD works
component testing	react test library	Catch UI regression in forms and statuses	After the dashboard is stable
end-to-end testing	playwright	Complete user flow: Signup → Create → Pay	Before adding more features
tracking error	guard	Pile up marks, release health, alert	As soon as real users arrive
logs	Axiom or Logtail	Searchable request logs, webhook debugging	When webhooks and billing go live
performance check	lighthouse (ci)	Catch slow pages and larger bundles	Before marketing launch
Schema and migration	Drizzle Kit or SQL Migration	Repeatable schema changes	As soon as you have 2+ tables
background jobs	ingest or trigger.dev	Async tasks: email, export, cleanup	When workflow expands beyond requests
rate limiting	Upstash Redis (or similar)	Protect auth endpoints and webhooks	When traffic gets real
product analysis	Posthog (or similar)	Funnels, Activation, Feature Usage	Knowing What You Measure

# final thoughts

Modern developments and engineering equipment are developing rapidly. Most of them are now designed with AI integration in mind, providing good documentation, APIs, and MCP-style access so that AI agents can work directly with them and create software faster than ever.

If you’re a data scientist who has never touched web development, or a complete newbie who wants to build something real or launch a startup, I strongly recommend starting with this tech stack. It requires minimal setup and lets you deploy a working application almost instantly.

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

If you want more flexibility later, you can split things up. For example, use neon For database, clerk For authentication, and keep everything else the same. As your system grows, spreading responsibilities across devices makes it easier to change one part without breaking the rest.

Start simple, send early, and escalate only when needed.

abid ali awan (@1Abidaliyawan) is a certified data scientist professional who loves building machine learning models. Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies. Abid holds a master’s degree in technology management and a bachelor’s degree in telecommunications engineering. Their vision is to create AI products using graph neural networks for students struggling with mental illness.