The site you are reading was built in conversation with an AI. Not scaffolded by a template and touched up, built: the design system, the animations, the blog architecture, the multilingual switcher, the structured data, all of it produced by describing what I wanted to a model and reacting to what came back. I minored in computer science two decades ago, so I can read what it writes, but I did not hand-type this site. That workflow now has a name, vibe coding, coined by Andrej Karpathy in early 2025, and since half my conversations about AI eventually arrive at "could I actually build something," here is the guide I wish someone had handed me.
The economics deserve one honest sentence before the how-to, because they are the reason to care. A site of this scope, custom design, sixty-plus pages, structured data, multilingual chrome, would have been a five-figure agency engagement on a six-week timeline. It cost me a subscription I already had and evenings across a couple of weeks, most of which were spent on decisions rather than production. That trade is now available to anyone willing to learn the workflow, and the workflow, not the tooling, is where the results diverge.
What it is and where it shines
Vibe coding is directing software into existence through natural language and judgment rather than syntax. You describe, the model writes, you react to the result rather than the code. It shines exactly where the stakes and the surface area are small: a marketing site, a landing page, an internal calculator, a prototype to show a client, a script that reformats the spreadsheet nobody wants to touch. Things where you can see whether it works by looking at it. This site is a single HTML file deployed on a static host, which is not an accident; I chose an architecture simple enough that I could inspect the whole thing, and I would give a beginner that same advice before any tool recommendation. Pick projects where wrong is visible. The failure stories in this genre almost all begin with someone choosing a stack complicated enough that wrong could hide.
The habits that separate good results from mush
Context beats commands. The single biggest quality lever is what you put in before asking for anything. Show it your brand colors, your reference sites, your actual copy, the audience, the constraint. A model given a paragraph produces a template; a model given your world produces your thing. It is the same gap between the $500 output and the $25,000 output living inside one subscription. The variable is you. Before this site had a single line of code, it had a long brief: palette, typography references, the three sites whose restraint I wanted, the audience, and what I never wanted it to look like. Every hour spent on that brief saved five downstream.
Iterate in small moves, and be specific about what is wrong. "The spacing above the second section is too tight on mobile" gets fixed in one pass. "Make it better" gets you a different site. The discipline here is the same one that makes creative feedback useful anywhere: describe the symptom, not your guess at the cure, and one change per request while you are learning, so you know what caused what. And when something breaks, resist the urge to pile new instructions onto a confused thread; describing the symptom precisely, or starting clean with the current file, beats arguing with the model's memory. A fresh conversation with the working file attached is the vibe-coding equivalent of turning it off and on again, and it works about as often.
Keep versions of everything. Before any big change, save a copy. Professionals use version control for this; a beginner can use dated folders and lose nothing but disk space. Every painful vibe-coding story I have heard, including two of my own, ends with "and I could not get back to the version that worked."
Test like a user, not a builder. Click every link on your phone. Submit the form. Run the site through PageSpeed and a link checker. The model writes confidently whether or not the thing works, and your job in this workflow is not writing the code, it is owning the definition of done. That sentence is the entire skill, stated once: the model supplies production, you supply judgment, and every bad outcome in this workflow traces to someone delegating the judgment half.
Where the guardrails go
Know when you have left vibe territory. The moment a project touches logins, payments, health data, or anything a stranger could abuse, you are writing software with legal and security consequences, and the workflow needs a professional in the loop even if the AI still writes most of the code. I hold my clients to that line, the same way I hold health marketers to the pixel line, and I hold myself to it too. A contact form on a static site is vibes. A customer database is not. The line is not about code quality, it is about consequence: a broken animation embarrasses you, a leaked credential harms someone else, and only one of those is a learning experience.
The payoff for a marketer is bigger than the artifacts. Building something end to end, even something small, changes how you buy and how you plan, because you stop treating the stack as weather and start treating it as decisions, which is the entire argument of the technical knowledge post. The first vendor meeting after you have shipped something yourself is a different meeting; you know what an afternoon of work looks like, so you know what you are being quoted six weeks for. It also changes your bill: the difference between an idea and a working prototype used to be a statement of work. Now, some afternoons, it is a conversation.