Vibe Coding as a Bridge Between Idea and Prototype

A practical look at vibe coding: how it helps product and business teams prepare options, clarify briefs, and work better with development.

Vibe coding is often explained through code. A person tells the tool what they want to build, and the tool starts generating a solution. For a technical audience, that is understandable. For business, product, or marketing, it can sound like yet another topic for developers.

In practice, the most interesting effect is this: an unclear idea gets a shape faster.

That changes the discussion in the team. Instead of long explanations about what someone imagines, a first proposal appears. Instead of feedback on an abstract idea, people discuss a concrete option. This is often a bigger time saving than the code generation itself.

The real problem is unclear briefs

Every product or digital team knows the loop: idea, follow-up questions, brief, design, feedback, rework, technical review, another change. Often, it is not caused by bad intent. People simply cannot imagine the same thing until they can see it.

Denisa Hrubešová described this in the transcript using an example from Forendors. She had an idea for a follow button next to a newsletter. Previously, a colleague would ask follow-up questions, write a brief, send it to design, the proposal would come back, and only then would it become clear that the original idea was different.

That is an expensive way to clarify work.

The Forendors example: follow button and three to five options

Today, Denisa starts recording and says something like: I want a button, I do not know exactly where, look in Figma, use the brand guidelines, and suggest options. The output is three to five possibilities. Not a final solution, but material for a decision.

Then the team discusses what should remain human: which direction makes sense, what the risks are, whether the button might distract from the subscribe button, and whether the idea is important enough for development.

This process does not only shorten the technical part. It mainly shortens the time between a feeling and a concrete brief.

Vibe coding as a working intermediate step

A good vibe coding workflow does not have to start with a precise prompt. It often starts with admitting that you do not know exactly what you want. In the transcript, Denisa said she often asks for three to five options and lets the tool guide her with questions.

That matters. Many people think working with AI requires a perfectly written brief. In practice, it is often enough to name the problem clearly and ask for possibilities.

The output is not a replacement for thinking. It is a faster preparation of options that make thinking easier.

Where the developer must remain involved

A technical perspective also came up in the discussion. One developer described how AI helps her validate a business requirement, ask for missing information, prepare a solution proposal, and generate part of the code. At the same time, she warned that the output can still contain gaps or invented elements.

The developer’s work therefore does not move toward blindly accepting output. It moves toward review, architecture, testing, and quality control.

That is a realistic frame. AI can speed up the proposal. A human has to hold the system-level context.

Tools matter less than the rhythm of work

The source material mentions Claude Code through Warp and Codex during the development of the event website. Codex worked well for the moderator because it can click through the website, test links, and help with deployment. Denisa, on the other hand, said she stays with Claude Code and does not feel the need to test a new tool every day.

That is a useful lesson. With AI workflows, it is not always necessary to chase the newest tool. What matters more is having a rhythm: raw idea, options, risk review, decision, development.

Constantly switching tools has its own cost. The team learns new interfaces, transfers context, and loses continuity.

A practical prompt for an internal idea

Take one internal idea that has not yet become a brief. Try entering it like this:

We have this problem. I do not know exactly what the solution should look like. Suggest five ways this could work in the product. For each one, add the main UX risk, what a developer should check, and what decision a human needs to make.

Then do not evaluate only whether AI found the “right” answer. Watch whether it helped the team name faster what it wants, what it does not want, and what needs to be validated.

That is the practical value of vibe coding.