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I used to hate vibe coding. I believed I might write higher code, design cleaner methods, 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 abilities, agent workflows, planning-first execution, and long-horizon coding instruments turned vibe coding from a gimmick right into a sensible option to construct actual methods.
In some unspecified time in the future, I gave in. Since then, I’ve been utilizing Claude Code and OpenCode to construct methods that I might usually take into account too complicated for fast iteration. These embody cost platforms, stablecoin wallets, e-book 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 proper construction and instruments have been in place.
The actual downside most individuals face with vibe coding just isn’t writing code.
It’s choosing the proper tech stack.
Frontend, backend, authentication, databases, storage, electronic mail, funds, and deployment all include numerous choices. With no 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 instrument is liable for, and how you can 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 excellent if you’re beginning out. You may deploy a full software to Vercel without cost and join managed providers with out upfront price.
Why This Stack Scales With out Getting Messy
Two Subsequent.js primitives do many of the heavy lifting because the app grows:
- Server Actions deal with type submissions and server-side mutations. They preserve knowledge 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 methods to speak to your app with out polluting your UI logic.
Supabase offers you database, authentication, and storage with a safety mannequin that lives near the info. In case you allow Row Stage 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 offers you a dependable option to convert funds into actual entitlements as an alternative of scattered characteristic flags.
Vercel retains preview and manufacturing deployments aligned, so you might be testing in actual environments from day one.
This stack works effectively for vibe coding as a result of it’s opinionated, predictable, and simple for an AI coding agent to motive 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 selections. Every part maps on to the stack you might be utilizing, so an AI coding agent can comply with it finish to finish.
Part 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 through Vercel
On the finish of this part, you have already got a usable app working in manufacturing, even when the characteristic set is small.
Part 2: Knowledge Security and Entry Management
Lock down consumer knowledge earlier than including extra options.
- Allow Row Stage 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.
Part 3: E mail and Storage
Add belief and file dealing with.
- Transactional emails through Resend (welcome, verification, resets)
- Personal 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.
Part 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 could have a paid MVP that may scale with out altering core structure.
# Claude Code Starter Immediate
You may change “Guide Store + Reader MVP” with your individual concept utilizing the identical Claude Code immediate.
Construct a **Guide Store + Reader MVP** utilizing this stack:
- Subsequent.js App Router
- shadcn/ui
- Supabase (Postgres, Auth, Storage)
- Resend
- Stripe (Checkout + webhooks)
- Vercel
## Objective
Ship a production-ready Guide Store and Reader with paid entry.
## Construct
- Public pages: touchdown, pricing, e-book checklist
- Auth: join, sign up, reset password
- Protected app: reader dashboard
## Knowledge
- `books`, `chapters`
- Row Stage Safety so customers entry solely their very own knowledge
## Options
- CRUD through Server Actions
- Reader view with progress monitoring
- Personal 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 change Claude Code to Plan Mode, paste the immediate, and alter the concept or modify 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 concept to a working software with out getting caught on setup or selections.
# Elective Instruments
These instruments usually are not required to ship the primary model, however they provide help to check, monitor, and harden the appliance because it grows in actual utilization.
| Class | Device choices | What it helps with | When so as to add it |
|---|---|---|---|
| Unit checks | Vitest | Quick checks for utilities and server logic | As soon as core CRUD works |
| Part checks | React Testing Library | Catch UI regressions in varieties and states | After the dashboard stabilizes |
| Finish-to-end checks | 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 gradual pages and outsized bundles | Earlier than advertising launches |
| Schema and migrations | Drizzle Equipment or SQL migrations | Repeatable schema modifications | The second you could have 2+ tables |
| Background jobs | Inngest or Set off.dev | Async work: emails, exports, cleanup | When workflows develop past requests |
| Price limiting | Upstash Redis (or comparable) | Shield auth endpoints and webhooks | When visitors turns into actual |
| Product analytics | PostHog (or comparable) | Funnels, activation, characteristic utilization | After what you measure |
# Ultimate Ideas
Trendy growth and engineering instruments are evolving quick. Most of them at the moment are designed with AI integration in thoughts, providing good documentation, APIs, and MCP-style entry so AI brokers can work with them straight and construct software program quicker than ever.
If you’re a knowledge scientist who has by no means touched net growth, or an entire newbie who needs 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 virtually instantly.
It took me practically three months to check and evaluate instruments earlier than deciding on this stack. Beginning right here will prevent that point.
If you need extra flexibility later, you may cut up issues out. For instance, use Neon for the database, Clerk for authentication, and preserve every thing else the identical. Spreading duties throughout instruments makes it simpler to exchange one half with out breaking the remainder as your system grows.
Begin easy, ship early, and evolve solely when it’s worthwhile to.
Abid Ali Awan (@1abidaliawan) is a licensed knowledge scientist skilled who loves constructing machine studying fashions. Presently, he’s specializing in content material creation and writing technical blogs on machine studying and knowledge science applied sciences. Abid holds a Grasp’s diploma in know-how 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.
