Vibe Coding Expands Into a Software Category, but First Websites Still Need Refinement
TechRadar's guide says vibe coding has become its own software category, but building a first website still requires refining AI output, choosing hosting, and troubleshooting. It outlines tool types and initial steps.
TechRadar reported that vibe coding is not traditional programming because users do not write code, making it closer to no-code or drag-and-drop website builders. The guide said improvements in large language models and generative AI allow users to describe what a website should do and how it should look, after which the platform interprets the prompt and generates HTML, CSS and JavaScript. Users can export the code as raw files to a web hosting server of their choice, register a domain and go live in minutes.
That promise is not always simple in practice. TechRadar said that depending on how specific the prompt is and how advanced the underlying technology is, the result is at best close to functional but not ready for production. Users then have to tweak the AI-generated site with subsequent prompts to refine the design until they are satisfied.
The guide, based on the author's work with vibe coding apps over the past couple of years, said not all tools work the same way. Some are typical AI generators that let users build a website from start to finish by talking to a chatbot. Others combine that with drag-and-drop editors and visual aids so users can tweak the design directly. A few function like traditional text editors used by programmers but include chatbot assistance for generating chunks of code, while the user retains authority over what to keep. The guide also said the industry has changed since vibe coding began as a concept.
TechRadar divided the tools into four categories. Full-stack app builders generate frontend, backend, database and hosting from a single prompt, and are best for complete websites or web apps with accounts, forms or stored data. Frontend and UI generators create visual components and layouts, often exportable as code, for landing pages, design prototypes or polishing an existing site's look. All-in-one platforms bundle AI code generation with hosting, domains and email in one subscription, aimed at beginners who want a single dashboard. AI coding assistants sit inside a code editor and speed up work for people who already write code, for developers extending or customizing a site beyond what pure prompting can do.
For a first website, TechRadar said a full-stack app builder or an all-in-one platform is usually the simplest starting point. Those options package hosting infrastructure, domain registration and ongoing support into the same platform, reducing the work needed to prepare a site for launch.
The guide said every vibe coding project follows roughly the same arc, moving from a plain-language brief to a live preview and then adding pages, design and other extras before publication. Users should expect to spend more time refining than generating, it said.
In the first step, TechRadar advised starting with clear and specific instructions rather than a single sentence. Users should describe the site's purpose, the pages they need such as home, about, contact and services, the design aesthetic and any brand colors or fonts. More detail upfront reduces back-and-forth later. Most platforms generate an initial working version with a live preview within a minute or two of the first prompt, according to the guide.
The second step is to review the generated structure. TechRadar said users should examine the pages and navigation created by the AI before touching the design, and check that the site structure matches how visitors should move through it. Restructuring later is more disruptive than adjusting styling, the guide said.
Editor's Summary Vibe coding has become a distinct software category with multiple tool types, but TechRadar's guide says a first website still demands prompt refinement, hosting decisions and troubleshooting. The guide recommends starting with full-stack or all-in-one platforms and reviewing AI-generated structure before design changes.