Vibe Coding: Build AI Apps with Lovable, Base44, v0 & Codex

You have an app idea. Now you need to actually build it.

Maybe you’ve already tried vibe coding.

You opened Lovable, v0, Base44, or another AI builder, typed something like “build me a SaaS app”, and for a few minutes it felt like magic.

Then reality showed up.

The design started drifting. Features broke other features. The AI misunderstood what you wanted. Authentication became confusing. Payments needed to work. Your data needed structure. And suddenly you were spending more time fixing prompts than building the product.

That’s the problem this course is designed to solve.

I’m going to show you how to vibe code real applications from idea to deployment, without assuming you’re already a software developer.

And more importantly, I’ll show you how to think before you prompt.

Because good vibe coding isn’t about finding one magical prompt. It’s about knowing what you’re building, breaking it into manageable pieces, giving AI the right context, and knowing how to move forward when the first result isn’t perfect.

We’ll build real apps together

This is not a course where we spend hours talking about what AI could build. We’re actually going to build.

You’ll work through multiple complete projects using Lovable, Base44, v0, and Codex, and each project introduces a different part of modern AI-assisted development.

We’ll build applications with:

• Authentication and user accounts

• Stripe payments

• Databases and data models

• Admin dashboards

• Google Sign-In

• Email systems and templates

• Calendly integrations

• CRUD functionality

• Search and filtering

• GitHub version control

• Custom domains and deployment

• Automated testing

• AI-assisted coding with Codex

And we’ll do it step by step.

First, learn how to plan before you build

This is one of the biggest differences between randomly prompting an AI builder and consistently getting good results.

Before we touch the actual build, we’ll define the project scope, map the customer journey, map the admin journey, plan our wireframes, decide on our architecture, and create a design system.

You’ll learn how I break a large application into individual components and turn those components into focused prompts that AI tools can actually work with.

We’ll cover concepts like:

• Atomic prompting and vertical slices

• Product requirements documents (PRDs)

• Component planning and design systems

• User journeys and data models

• Source-of-truth documents

The goal is simple: instead of staring at an empty prompt box wondering what to type, you’ll have a repeatable process for turning an idea into a build plan.

Build a real e-commerce app with Lovable

Our first major project is Vibe Stickers, a complete e-commerce application.

We’ll plan the customer-facing experience and the admin interface, design the application, build the individual components, connect authentication, configure Stripe payments, manage products and orders, and take the project all the way through version control and deployment.

You’ll see the whole process rather than isolated features.

That means you’ll also see the decisions, iterations, and problems that happen when building an actual application with AI.

Push Lovable further with real-world integrations

In the next project, we’ll work with more real-world integrations.

You’ll build features involving profiles, social links, onboarding materials, Google authentication, Stripe, custom emails, Calendly, and external connectors.

This is where vibe coding starts feeling less like generating a website and more like building a real product.

Build an inventory management system with Base44

I don’t want you leaving this course thinking vibe coding means learning one specific tool. So we’ll build another application using Base44.

You’ll create an inventory management system with authentication, admin access control, a proper data model, seeded inventory, and complete CRUD functionality.

You’ll build create, read, update, delete, search, filtering, dashboard metrics, and then test the entire workflow.

By switching platforms, you’ll start seeing which skills are specific to a tool and which skills transfer to almost any AI app builder.

Combine v0 with Codex

For the final project, we change the workflow again.

We’ll use v0 to create and refine the interface, inspect the generated code, define the application's rules and data model, and then continue development using Codex Cloud.

You’ll build real application state, people management, expense tracking, balance calculations, suggested settlements, testing, and deployment.

This section starts bridging the gap between visual AI builders and working directly with an AI coding agent.

Learn a process you can use beyond any single tool

Tools will change. The more valuable skill is learning how to build with AI.

By the end of the course, I want you to be able to take an idea and ask:

• What exactly am I building?

• Who is it for?

• What does the user need to do?

• What data do I need?

• How should the interface work?

• What should I build first?

• What context does the AI need?

• How do I know if what it built actually works?

Once you can answer those questions, vibe coding becomes dramatically more useful.

You stop hoping the AI understands you. You start directing it.

You do not need to be a traditional developer

You don’t need years of programming experience before you can start.

We’ll introduce the technical concepts when they become useful and explain them in the context of something you are actually building.

You’ll still encounter real software concepts like databases, authentication, APIs, application state, architecture, version control, and testing. But you’ll learn them while using them.

That’s the point of the course: less theory for the sake of theory. More building.

Whether you want to launch your own SaaS idea, prototype startup concepts, create internal tools, build apps for clients, or simply understand what’s now possible with AI-assisted development, I want this course to give you a process you can reuse long after you finish the final lesson.

By the end, you won’t just know how to prompt an AI app builder. You’ll know how to take an idea, plan it, build it, connect it, test it, and ship it.