Vibe coding looks powerful until real users enter the project
The AI prototype looks finished until production details appear.๐ท AI-generated image / TECH&SPACE
- โ XDA's test starts from the perspective of a novice designer trying to finish a real project, not just generate a demo.
- โ The main weakness of vibe-coding tools appears after the first functional interface, when details, consistency and finish have to be resolved.
- โ The most useful role for these tools is still rapid ideation, with human review of code, design and production edges.
But that moment is not the same as a finished product. That is why XDA's framing matters: the test does not treat the AI tool as a one-off demo generator, but as something asked to finish a real project. That moves the evaluation from impression to execution. The question is no longer whether the model can draw a screen, but whether it can preserve project logic, fix mistakes, maintain consistency, understand edge cases and bring the result to a level someone would actually use.
That is where vibe coding shows its boundary. The first draft can look convincing because the patterns are familiar: form, button, card, navigation, list, control. Web interfaces already have a shared vocabulary, and public documentation such as MDN Web Docs describes those building blocks clearly. An AI tool can recognize that language and assemble something that feels like an application. Finishing it requires a different kind of precision: decisions about state, errors, accessibility, responsiveness, data and maintenance.
XDA's test of AI interface-building tools shows why a prompt can create the first screen, but not finish a real project.
The biggest problems begin after the first functional screen.๐ท AI-generated image / TECH&SPACE
That is the practical difference between prototyping and production. A prototype can be a convincing sketch. Production has to survive real use. If a form does not explain an error, if text breaks on mobile, if a button changes width after loading, or if a component ignores basic guidance such as the WCAG standards, the problem is no longer cosmetic. It is evidence that the tool has not understood the full job by itself.
The useful lesson is not to avoid these tools, but to give them the right job. Vibe coding is not a replacement for design judgment, code review or clear requirements. It is better understood as a start accelerator: it can open a direction, propose a layout, build a first interaction and help a user discover faster what they do not want. Once the project enters review, it needs the discipline familiar to software teams: version control, change review, testing and documented acceptance criteria. In that phase, platforms such as GitHub are not background decoration; they are the working infrastructure.
XDA's conclusion should therefore not be read as the death of vibe coding, but as a correction of its altitude. If you expect a magic machine that turns a prompt into a finished product, disappointment is almost built in. If you treat it as a very fast junior partner for the initial sketch, with an editor, designer or developer who knows what to check, the value is obvious. The biggest risk is not that AI creates a poor first screen. The risk is that the first screen looks good enough for someone to believe the work is already done.

