AI challenge

Nobody understands the generated code anymore

AI can produce code faster than a team can understand it. That works until every change first requires archaeological research. We help you bring the codebase back to software people can get a grip on again.

Does this sound familiar?

The code is usually readable enough. It's just that nobody understands how the whole fits together anymore.

  1. There are several solutions to the same problem

    Old and new implementations live side by side and nobody knows which one leads.

  2. Files and components keep growing

    More and more responsibilities end up in the same places.

  3. Deleting feels dangerous

    Nobody knows for sure whether seemingly unused code is needed somewhere after all.

  4. Every prompt needs enormous context

    You have to explain to the AI over and over how large parts of the project work.

Where do you want to be?

You don't need to know every file by heart. But an engineer does need to be able to understand where functionality belongs and what a change affects.

An understandable structure

Responsibilities and boundaries in the codebase are recognisable again.

Fewer surprises

Engineers can better predict what a change affects elsewhere.

AI tools become useful again

Good structure also gives coding agents better context to work with responsibly.

Why does this happen?

Code that compiles is not automatically a coherent software system.

See how we approach this

Every task was solved locally

Today's solution doesn't always fit last month's choices.

Architecture stayed implicit

Technical boundaries only exist in developers' heads, or not at all.

Cleaning up kept being postponed

AI makes adding cheap, so removing and consolidating get relatively little attention.

Why 9to5 for this?

With a messy codebase, the main job is judging what is essential, which debt really hurts, and how to stop the clean-up from becoming the new problem.

View cases

Understand first

We don't blindly change code before it's clear what role that code plays.

Risk over beauty

Not every ugly construction needs to be rewritten right away.

Document what matters

Important architecture choices are made explicit so knowledge doesn't disappear again.

What else fits your situation?