From vibe to viable

From prototype to software you can count on

AI-assisted building has made the first version practically free. An idea becomes a working app in a single afternoon, and that is one of the best things ever to happen to testing ideas.

The harder question comes next: can you count on it on Monday? As soon as real users, real data and real dependency enter the picture, "it works on screen" is no longer enough. A gap opens up between what looks finished and what you can safely trust.

We close that gap. We start with a review of what is there, and go on from there: strengthening what holds, selectively rebuilding what does not, and deciding with you what you build on in the years ahead.

Who is this for?

There are two ways people end up here. Both are legitimate, and each is a different conversation. The destination is the same: software you can build on.

• You drifted into it. What started as a test is now the thing people rely on. Nobody decided that, it simply happened. You want to know how bad it is.
• You built it deliberately, and now you want to scale. You knew exactly what you were making: a quick version to prove the idea works. It worked. The question now is what you build the real version on.

Typical situations we get called in for

Prototypes are rarely promoted to production on purpose. They get there quietly, one convenient decision at a time. Any one of these signals is enough to know the line has already been crossed:

• Real data lives in the app and nowhere else.
• People have built their work around it, so an outage is no longer an inconvenience but downtime.
• Customers, suppliers or partners log in, which turns every incident into a matter of trust.
• Business decisions are made on figures that come out of the app.
• Nobody remembers how things worked before the app existed.
• The app processes personal data, which makes your GDPR obligations immediately relevant.

What do you build on next?

If you built a prototype deliberately and now want to scale, the question is not "what is wrong", but "what do I build on for the next three years". That comes down to six choices:

• Platform and hosting. Prototyping platforms are made to validate. Cheap to start with, notoriously non-linear in cost once real usage arrives.
• Framework and language. Where will you still find people in three years, and what fits what your own team already knows or wants to learn.
• Data and data model. The model that carries a demo is rarely the model that carries reporting, integrations and growth. This is the most expensive thing to change later.
• AI layer and cost. Which provider, which model, what do you cache, and what happens to your margin when usage doubles.
• Build or buy. Not everything has to be custom software. Sometimes an existing package is faster, cheaper and better maintained.
• Where lock-in is acceptable. Every choice ties you to something. The question is not whether, but where you find that acceptable on purpose.

We do not decide for you. We lay out the options, the cost and the consequences side by side, with the arguments alongside them, and decide together. After that we build with you, or hand over to your own team.

How we help you further

You rarely need everything at once. Where we start depends on your starting point, and what we take on we decide together, based on what is really holding your software back today.

• Architecture and technology choices. Deciding together what you build on: stack, hosting, data model and AI layer. We map the options, the cost and the consequences, with the arguments alongside them, and make the call together.
• Security and compliance. Authorisation on the server, keys out of the code, and your GDPR obligations in order. Which personal data you process, where it sits, under which processing agreements and with what audit trail.
• Infrastructure and hosting. Does your infrastructure match the usage and the risk profile of your application? Scalable, observable, deployed in a controlled way, with separate environments and a cost that stays predictable.
• From prototype to product. Strengthening what holds, rebuilding what does not. Your prototype is not a burden here but your specification: every flow and every screen it already proved stays in place.
• Building on and expanding. New features, integrations and scalability on a foundation that carries them. With test coverage and documentation, so the next change is not a gamble.
• Strengthening or taking over your team. Temporary technical leadership, people who work inside your team, or full maintenance. Always with a team behind us, so you do not become dependent on one person again.

How we work

Every engagement starts with a review, because without sight of your code every piece of advice is a guess. That review is a technical assessment, not a theoretical exercise.

1. Intake

We map your context, your ambition and your concerns, and agree on the questions the review has to answer. The scope follows from that.

2. Technical Assessment

We look at your actual codebase, your infrastructure and the context the app is used in. Depending on the scope we examine, among other things:

• architecture and code quality
• security, authorisation and secrets
• data, integrations and dependencies
• infrastructure, deployment and observability
• cost and scalability
• maintainability, tests and documentation
• GDPR obligations and processing agreements

Everything is weighed against the risk profile of your application. An internal tool without sensitive data calls for something different than a customer portal.

3. Validation

We test our findings with you and your developers. That is how we filter out what gives a wrong impression, and go deeper where it matters.

4. Debrief

You get the main risks and gaps, a prioritisation, advice on the most suitable next step and an estimate. We talk you through it and translate it into concrete next steps.

The average lead time is 5 to 15 working days, depending on the scope.

What does the review give you?

• A clear picture of where your software stands today, without judgement about how it was built.
• The main risks and gaps, ordered by severity rather than by number.
• Advice on the route that fits: contain, strengthen selectively or rebuild selectively.
• An estimate of what that route costs, in time and in budget.
• Technology advice for those who want to scale: stack, hosting, data model and AI layer.

Fixed scope, fixed lead time, and it commits you to nothing. Sometimes the outcome is that you do not need to do anything for now, and that is a useful answer too.

Why choose Unikoo?

We combine deep technical expertise with experience in technology, product and organisational questions. We bring structure to complexity, name risks without dramatising them, and make recommendations that are workable within your context.

• No judgement about what you built. Your prototype was the right call to validate quickly. We start from what is there and what it already proved, not from what is wrong with it.
• We build as well. Writing a report is easy. We take on the delivery, or work inside your own team until it stands.
• Independent on technology. We do not sell a platform and we do not sell licences. The stack we recommend fits your team and your horizon, not our portfolio.
• A team, not a single person. The biggest risk in vibecoded software is dependency on one person. We work with teams, so that dependency does not simply move to us.