Vibe Coding: Full Course with Resources (2026)
How to build real apps with AI, even if you have never written code
Two months ago, I published a beginner’s guide to vibe coding.
It became one of the best articles I have written for Opinion AI. A lot of people used it to build their first small app, website, dashboard, or personal tool.
But two months is a long time in AI coding.
The tools have moved fast. Browser builders now plan projects before touching the code. Coding agents can read an entire project, run commands, test their own work, use a browser, create Git commits, and deploy an app. Some can run several coding tasks at the same time.
So I went back and rebuilt the guide.
This is the complete version.
It starts with zero knowledge and takes you through the full process:
Choosing the right tool
Turning an idea into a clear plan
Writing prompts that produce useful work
Building your first app feature by feature
Saving versions with Git
Fixing errors without entering the doom loop
Adding a database and login
Testing the app
Checking security
Deploying it to a real URL
Learning the small amount of software knowledge that makes everything easier
You do not need a computer science degree.
You do need a clear idea, some patience, and the willingness to test what the AI gives you.
Let’s build something.
So what does vibe coding mean now?
The phrase came from Andrej Karpathy in February 2025. He described a style of coding where you explain what you want, accept the AI’s work, run it, paste errors back, and keep going without spending much time inside the code.
Collins later named “vibe coding” its Word of the Year for 2025. [1]
The basic idea is still the same:
You describe the software in ordinary language. AI writes and changes the code.
You might say:
Build a personal expense tracker where I can add expenses, group them by category, and see how much I spent this month.
The AI creates the files, interface, buttons, calculations, and data storage.
You test it.
Then you say:
The monthly total is wrong when I delete an expense. Fix the calculation and add a test so this does not happen again.
The AI investigates and changes the code.
That loop is vibe coding.
But there is an important line.
For a quick weekend experiment, you can move loosely and accept a few rough edges.
For an app that handles users, private data, subscriptions, business records, or payments, you cannot blindly accept everything. You have to plan, test, review, and understand the important decisions.
I still call both approaches vibe coding because that is the term people know.
The second one is the useful version.
The tools grew up. Your workflow should too
The first wave of vibe coding tools mostly gave you a chat box and generated a page.
The current tools can do much more.
Replit begins with a prompt, helps shape the idea, builds the app, and publishes it from the browser. Lovable has separate Plan and Build modes, so you can work through the idea before code is changed. Claude Code can read a codebase, edit files, run commands, work with Git, and verify its changes. Cursor has an agent, project rules, planning, browser tools, and cloud work. OpenAI’s Codex can handle coding tasks and parallel agent work.
That sounds powerful because it is.
It also makes bad instructions more expensive.
An agent that can edit twenty files can create twenty-file problems.
The main skill is still clear thinking.
Inside the full course, I cover the whole process: choosing the right tool, setting up your stack, planning and prompting properly, building a real app step by step, fixing errors, using Git, adding login and a database, testing security, deploying it, and following a four-week roadmap with useful resources.
