AI challenge

We've vibe-coded ourselves into a corner

At first it felt like you had superpowers, with a new feature every evening. Then came the point where the AI mainly found new ways to move old problems around. Often you don't have to redo everything.

Does this sound familiar?

Vibe coding rarely gets stuck all at once. First small technical problems pile up, until more and more prompts are needed to change anything.

  1. One fix breaks something else

    A seemingly small change suddenly causes errors in places you didn't touch.

  2. The AI keeps suggesting bigger refactors

    According to the coding tool, even simple changes seem to need a major rework of the code.

  3. Nobody knows what leads anymore

    Several implementations, old files and half-replaced solutions exist side by side.

  4. You hardly dare touch working code

    The project still works, but every change feels like you might knock over something important.

Where do you want to be?

You don't want to stop AI-assisted development. You want to be able to build again without every change introducing a new technical risk.

Grip on the codebase again

You understand how the most important parts fit together and where you can safely make changes.

Changing without roulette

New features no longer unexpectedly break other parts of the application.

Able to carry on yourself

The technical foundation and way of working are clear enough to build on independently with AI tools again.

Why does this happen?

AI coding tools are very good at momentum. But without clear architecture, tests and technical boundaries, that momentum can eventually work against you.

See how we approach this

Local solutions pile up

Every prompt solves the problem of that moment, but doesn't automatically take the architecture of the whole into account.

Technical feedback is missing

Without good tests, types, conventions and deployment checks, the AI only notices late that a change causes damage somewhere else.

The codebase itself becomes the bottleneck

More and more context is needed to make a change properly. So fast building slowly becomes slow and unpredictable again.

Why 9to5 for this?

This is where senior software engineering makes the difference: understanding an existing codebase, reducing technical risks and making sure your own team can continue independently afterwards.

View cases

We're not against vibe coding

Building yourself with AI can actually be very effective when the technical foundation stays good enough.

We don't automatically start over

First determine what is usable, only then decide what really has to change.

The idea is that you build again

A rescue has succeeded when you don't need 9to5 for every next feature afterwards.

What else fits your situation?