How to Build a Website Using AI, Step by Step

What "vibe coding" actually means

You describe what you want in ordinary language. The platform generates real, working code from that description, not a template with your text dropped in. You review what it built, ask for changes the same way and repeat. The same practice works on Lovable, Base44, Bolt.new and Claude Artifacts alike, since all four run on the same underlying loop even though their interfaces differ: describe, generate, review, refine.

That loop is the actual skill worth learning here, not any one platform's specific buttons and menus. Once you understand it, moving between platforms is a matter of finding where each one puts the same controls, not relearning how to build. If you haven't picked a tool yet, start with our guide to choosing a vibe coding tool, which covers which kind fits your project.

Underneath, the platform is translating your description into a real codebase, the same kind of files a developer would write by hand, not a closed template system with a handful of settings to toggle. That's the actual difference between vibe coding and an older-style drag-and-drop site builder: the output is genuine, editable code, which is also why reading what it generated, not just judging how it looks, matters at every step below.

Step 1: Write a clear first prompt

Vague requests produce vague sites. Name who the site is for, what it actually needs to do and any must-have feature, a contact form, a login, a product list, before you send the first prompt. A prompt that only describes a look ("make it modern and clean") gets you a look. A prompt that describes purpose gets you a site that does something.

Write this first prompt as a short brief, not a single sentence. Two or three sentences covering audience, purpose and must-haves outperforms one long sentence trying to cram in everything at once, since the platform parses a structured brief more reliably than a run-on wish list.

Step 2: Read the first draft before touching it

Open every page the platform generated and click through it once before asking for a single change. You're checking whether it understood the brief, not proofreading. A misunderstood prompt compounds: three iterations built on a wrong foundation take longer to fix than starting the prompt over. If the structure is wrong, rewrite the original prompt rather than trying to patch your way to the right result from a bad starting point.

Step 3: Iterate in small, specific requests

Ask for one change at a time: "move the pricing table above the testimonials," not "fix the layout." A large, vague follow-up prompt gives the AI room to change things you didn't ask about, alongside the thing you did. Small requests are also easier to undo if one goes wrong, since you're only reviewing one change against the working version you had before it.

Step 4: Connect a real backend once the design is right

A database, user accounts, a payment gateway: wire these up after the pages and flow are settled, not before. Backend decisions are more expensive to unwind than a layout change, so lock the shape of the site first. Most vibe-coding platforms connect to a managed backend rather than making you configure a server yourself, but the connection still needs to be tested, not just added and assumed working.

Step 5: Test the real thing, not just how it looks

Click every button, submit every form, complete the actual flow a visitor would follow. AI-generated pages can look entirely finished while a button underneath does nothing, because the prompt described appearance and never described behaviour. A visual review alone won't catch that. Using the site the way a stranger would does.

A common example: a contact form that renders perfectly, with every field styled correctly, but was never actually connected to send an email or save a submission anywhere. It passes a glance. It fails the moment someone real tries to use it, and you won't know until you try submitting it yourself.

Step 6: Deploy, then keep iterating

Publish the site. Vibe coding doesn't stop at launch: the same small-request loop from Step 3 keeps working once the site is live, and most real changes after launch are exactly that small, not a rebuild. Treat post-launch prompts with the same discipline as pre-launch ones, one specific change at a time.