The Problem with “I Have an App Idea”

In consulting, we generate more app ideas in a single client engagement than most teams ship in a quarter. A portal for tracking Oracle module adoption. A self-serve tool for candidates to monitor their recruiting pipeline. A dashboard that maps ERP configuration decisions to delivery risk. The ideas are cheap. Building them used to be expensive.

That’s changed. The vibe-coding movement — using AI tools to generate functional app code from natural language — has collapsed the gap between “I have an idea” and “here’s a working prototype.” But it only works if you have the other two pieces in place: somewhere to store your data, and a way to get it live. This guide covers all three, with a direct link to the hands-on article for each step.

Step 1 — Vibe Code the App

You describe what you want. The AI builds it. That’s the premise — and in practice, it holds up better than it should. I’ve used it to build a full Oracle recruiting management app with candidate tracking, job posting management, and an application pipeline. The key insight is that you’re not just prompting a chatbot — you’re prompting a system that understands UI components, data models, and API patterns simultaneously.

Several tools can handle this step. I’ve tested a few, and the experience differs meaningfully depending on what you’re building:

The output of this step is a GitHub repository. Your AI-generated app, committed, pushed, and ready for Steps 2 and 3. If you’re using a tool that generates code locally (Claude Code, Claude Cowork), you push the repo yourself. If you’re using a cloud-based tool (Bob, Antigravity), the export-to-GitHub path is usually one button.

Step 2 — Create Your Supabase Database

Your app needs somewhere to store data. Supabase gives you a PostgreSQL database, a REST API, and an auth layer in under 10 minutes — for free. The visual table editor means you don’t need to write SQL to create your schema. The auto-generated REST API means your AI-built frontend can start reading and writing data with no backend code required.

The output of this step is three environment variables: your Project URL, your anon key, and your service_role key. You’ll need all three in Step 3.

Step 3 — Deploy on Vercel

Connect your GitHub repo to Vercel, paste in your Supabase environment variables, and hit Deploy. Vercel detects your framework, runs the build, and serves the app from a global CDN with HTTPS. First deployment: under 90 seconds. Every subsequent push to main: automatic redeploy. Every pull request: a preview URL.

This is the step that turns your vibe-coded prototype into something you can actually share with a client, a stakeholder, or a hiring team. A real URL. A real domain if you want it. No server management, no SSL configuration, no deploy scripts.

The Full Stack, in One View

What This Changes in Practice

I’ve been in enough discovery workshops to know that half the client asks that get logged as “future requirements” never make it to a backlog because the perceived cost of building them is too high. The 3-step stack changes that calculus. When a consultant can prototype and deploy a working version of a proposed solution in a morning — before the proposal is even written — the conversation shifts from “can we build this?” to “is this what you had in mind?”

That’s not a marginal productivity gain. That’s a different way of doing consulting.

Resources: Step 1: Vibe Coding with IBM Bob · Step 2: Supabase Database Setup · Step 3: Deploy on Vercel · Supabase · Vercel

Christian Guidibi
Oracle Cloud Practice Lead & AI & Futuristic Technology Consultant

Christian leads Oracle Cloud implementations and AI-enabled delivery in a consulting context. He writes about the intersection of enterprise architecture, modern AI tooling, and practical delivery at guidibi.com.

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Why Vercel — and Why It’s the Right Last Step

Deploying an app used to mean configuring a server, setting up NGINX, managing SSL certificates, and writing a deploy script. Vercel eliminates all of that. It connects directly to your GitHub repo, detects your framework automatically (Next.js, React, Vue, plain HTML — it handles them all), builds the app, and serves it from a global CDN with HTTPS by default. Every push to your main branch redeploys automatically. Every pull request gets its own preview URL.

For a vibe-coded app, this matters for one specific reason: the AI generated the code, you pushed it to GitHub, and now you want it live without becoming a DevOps engineer. Vercel is exactly that bridge.

Step 1 — Connect Your GitHub Repository

Go to vercel.com and sign in with GitHub. From the dashboard, click Add New → Project. Vercel will list your GitHub repositories — select the one containing your app. If the repo is in a GitHub organization, you may need to grant Vercel access to it first via the GitHub OAuth screen that appears.

Vercel scans the repo and detects the framework. For a Next.js app it will auto-configure the build command (next build) and output directory. For a plain React app (Create React App), it detects that too. If your app is something more custom, you can override the build command and output directory manually in this screen.

Step 2 — Set Your Environment Variables

Before you hit Deploy, scroll down to Environment Variables. This is where your Supabase credentials live — never in your source code, always in environment variables. Add the following three variables exactly as they appear in your Supabase Project Settings → API panel:

Set each variable for all three environments: Production, Preview, and Development. That way your preview deployments (from pull requests) and your local vercel dev environment all use the same Supabase instance. If you have a separate staging database, you can scope variables per environment here too.

Step 3 — Deploy and Verify

Hit Deploy. Vercel will clone your repo, install dependencies, run the build command, and push the output to its CDN. The first deploy typically takes 60–90 seconds for a small app. When it finishes, you get a live URL in the format your-project-name.vercel.app.

Open the URL and verify three things: the app loads, data from Supabase is being fetched correctly (check your browser’s Network tab for successful API calls), and the environment variables are being picked up (if there’s a login screen or a data-dependent view, test it). If anything is broken, Vercel’s deployment logs are accessible immediately from the dashboard — they show the exact build output and runtime errors.

Step 4 — Add a Custom Domain (Optional but Recommended)

The vercel.app URL works, but if you’re showing this to a client or a hiring team, a proper domain reads better. Go to Project Settings → Domains, add your domain, and follow the DNS instructions — typically a CNAME record pointing to cname.vercel-dns.com. Vercel handles SSL certificate provisioning automatically. The whole process takes under 5 minutes once DNS propagates.

What Was Built

• Vercel Project — GitHub repo connected, framework auto-detected, build pipeline configured in 2 minutes
• Environment Variables — 3 Supabase credentials set across Production, Preview, and Development environments
• Live Deployment — App live at *.vercel.app with HTTPS and global CDN, first deploy under 90 seconds
• Continuous Deployment — Every push to main triggers an automatic redeploy; every PR gets a preview URL

3 Things That Changed How I Think About Deployment

1. Preview URLs are a hidden productivity multiplier. Every pull request getting its own live URL means you can share a working version for review before anything merges. For consulting deliverables, that’s a game changer — a client can test the PR before it’s “done.”
2. Environment variables in the UI beat .env files. No more worrying about accidentally committing secrets. Vercel’s variable management is a first-class feature, not an afterthought, and the per-environment scoping is genuinely well-designed.
3. The build log is your first debugging tool. If a deploy fails, Vercel’s logs are detailed enough to diagnose 90% of issues without needing to reproduce locally. For vibe-coded apps where you didn’t write every line yourself, this matters — you can debug what you didn’t build.

Three steps. One AI to build the app, one database to store the data, one platform to serve it. What used to be a multi-day sprint — spec the app, write the backend, configure a server, set up CI/CD — is now a morning’s work. That’s not a productivity hack. That’s a structural change in what a solo consultant or a small team can ship.

Resources: Vercel Documentation · Environment Variables Guide · Deployments Overview · Part 2: Supabase Database Setup · Part 1: Vibe Coding with Bob

Christian Guidibi
Oracle Cloud Practice Lead & AI & Futuristic Technology Consultant

Christian leads Oracle Cloud implementations and AI-enabled delivery in a consulting context. He writes about the intersection of enterprise architecture, modern AI tooling, and practical delivery at guidibi.com.

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Why Supabase — and Why It Fits Vibe Coding Perfectly

When you vibe-code an app, you’re moving fast — the goal is to have something functional in hours, not days. The last thing you want is to stop and hand-write SQL migrations, configure a connection pool, or set up a separate auth service. Supabase solves all of that out of the box. Under the hood it’s PostgreSQL — real, battle-tested, relational — but the surface is a web console where you click to create tables, and an auto-generated REST API that your AI-built frontend can call immediately with no backend code.

I chose it for the Oracle recruiting app I built in Part 1 specifically because the AI-generated frontend was already making standard REST calls. Supabase meant I never had to write or deploy a custom API layer. The database and the API were the same thing.

Step 1 — Create Your Supabase Project

Go to supabase.com and sign in with GitHub. From the dashboard, hit New Project. You’ll name it, choose a region (pick the one closest to where your app will be deployed — this matters for latency), and set a database password. Save that password somewhere — you’ll need it when you connect from Vercel in Part 3.

The project spins up in about 60 seconds. Supabase is provisioning a real PostgreSQL instance, a PostgREST API layer, and a storage bucket in the background. When the dashboard goes green, you have a live database.

Step 2 — Design Your Schema in the Table Editor

Supabase has a visual table editor — no SQL required to get started. Navigate to Table Editor → New Table. For the recruiting app, I created three tables: candidates, job_postings, and applications. Each table gets an auto-generated id (UUID) and created_at timestamp by default — Supabase handles that for you.

For each table, I added columns using the UI: name, type (text, integer, boolean, timestamptz), and whether the field is nullable. Foreign keys — like linking applications.candidate_id to candidates.id — can be added visually in the same screen. If you already have a schema in mind from your AI-generated app, you can also paste raw SQL into the SQL Editor and run it directly. Both paths work.

Step 3 — Lock Down Access with Row Level Security

By default, Supabase tables are locked — no public access. That’s the right default. For a vibe-coded internal app, the fastest path is to enable Row Level Security (RLS) and create a permissive policy that allows reads and writes from authenticated users. Navigate to Authentication → Policies, select your table, and add a policy. For rapid prototyping I use “Enable read access for all users” first, then tighten it once the app is working.

If your app doesn’t use Supabase Auth and is just calling the REST API with a service role key (common in vibe-coded internal tools), you can bypass RLS using the service_role key. Just never expose that key on the frontend — it goes in your server environment variables, which we’ll cover in the Vercel article.

Step 4 — Get Your API Keys and Connection String

Everything you need to connect your app lives in Project Settings → API. You’ll find three things there: the Project URL (your REST API endpoint), the anon public key (safe to use on the frontend), and the service_role key (server-side only, never expose this). Copy these — they are your environment variables in Part 3.

If you need a direct PostgreSQL connection (for something like Prisma or a data migration script), go to Project Settings → Database → Connection String and grab the URI. Use the pooler connection string for serverless environments like Vercel — it handles connection limits properly.

What Was Built

• Supabase Project — PostgreSQL instance provisioned in under 2 minutes, EU-West region
• Schema — 3 tables (candidates, job_postings, applications) with foreign key relationships, built visually
• RLS Policy — Row Level Security enabled with a service-role bypass for the internal app layer
• API Credentials — Project URL, anon key, and service_role key ready for Vercel environment variables

3 Things That Surprised Me

1. The auto-generated REST API is immediate. The moment I created a table, Supabase exposed a REST endpoint for it — no code, no restart, no deploy. My AI-generated frontend was reading and writing data within 5 minutes of schema creation.
2. RLS is on by default, and that’s the right call. I expected to have to configure security. Instead, I had to deliberately open access. That inversion — secure by default — is the right posture for anything that might accidentally end up public.
3. The free tier is actually generous. 500MB database, 1GB file storage, 50MB file uploads, unlimited API requests. For a vibe-coded prototype or internal tool, you won’t hit the ceiling before deciding if the app is worth scaling.

Supabase removed the last friction point that used to make “just spin up a quick database” a 2-hour detour. In a vibe-coding workflow, that matters — the whole point is to stay in flow from idea to working app. Your database is ready. Next up: deploying the app itself on Vercel.

Resources: Supabase Documentation · Table Editor Guide · Row Level Security · Part 1: Vibe Coding with Bob

Christian Guidibi
Oracle Cloud Practice Lead & AI & Futuristic Technology Consultant

Christian leads Oracle Cloud implementations and AI-enabled delivery in a consulting context. He writes about the intersection of enterprise architecture, modern AI tooling, and practical delivery at guidibi.com.

LinkedIn
guidibi.com

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