Почему ИИ часто делает слишком сложно и как это исправлять

**AI almost never complicates out of malice. It makes it “too difficult” because it’s trying to be useful for all things, not for your specific task. If you don’t stop him in time, he starts building a growth system that you don’t need right now.

## What situation does it usually start with

Usually everything looks quite innocent. You ask the AI to help with a simple task. Nothing big, just for something to work. In response, the code comes – neat, confident, with comments, checks and some strange additional layers.

You look at it and you catch yourself thinking, "I think it's too much." But it does raise doubts. Maybe I should. Suddenly you just don’t understand how “right” is. And the code stays as it is.

## Why AI is Complicating at All

The AI doesn’t know what is “enough” for you right now. He doesn't feel the line between "working" and "too smart." His logic is simple: if there is a chance that something will be needed later, it is better to add it immediately.

He thinks not as a person who solves a specific problem, but as an abstract developer who tries to foresee everything. Hence, there are unnecessary functions, generalizations, settings, configurations and a structure that looks solid, but does not answer the question “why it is now”.

## What does this complexity look like in practice

Often, code begins to live in the future. In it there are places "for later", extensions "in case", universal solutions for problems that do not yet exist. For an experienced developer, this can be a conscious choice. For a beginner, it is a source of constant confusion.

At some point, you don’t know what part of the code is really needed and what exists simply because the AI has decided to be prudent. You end up spending your time not on a task, but on trying to figure out why things work this way.

## Why AI doesn’t feel the moment is enough

People usually feel when it is time to stop. When the solution already solves the problem, and then the decoration begins. The AI doesn't have that feeling. If it's not limited, he'll keep adding details because it looks like an improvement to him.

The problem is that each such “improvement” increases the burden on understanding. Even if the code is formally correct, it becomes difficult to read and change.

## Why is it especially painful for a beginner? n

The beginner does not yet know how to distinguish the necessary complexity from the unnecessary. When AI comes up with a complex solution, it seems like it should be. There is a feeling that if you simplify, it will not be “real”.

Because of this, the beginner begins to get used to the idea that code is always complex, and that misunderstanding is the norm. This is a dangerous habit because it kills the sense of control.

## What to do in practice

At some point, it becomes clear that AI needs to not just ask for “do,” but ask for “limit yourself.” Don't add anything extra. To solve only the current problem. Do it as straight as possible, even if it looks naive.

If the code seems too complex, that’s no reason to go deeper. It’s a reason to stop and say, “Make it easy.” Take away everything you don't need right now. Very often, the code becomes clearer without losing meaning.

## Limitations that should be given to AI immediately

In order not to receive the system "for growth", it is useful to set the frame directly in the prompt:

• one file or minimum number of files
• without abstractions and layers for the future
• no new libraries, if you can manage the current ones
• happy-path, then edge-cases

Example of short wording:

Solve the problem in the least possible way.
Do not add new dependencies and architectural layers.
We need only the current scenario, without universalization for the future.

Usually, this reduces the code size by 30-60% and makes the result noticeably clearer for further edits.

## What to read next

• Как выбрать первую задачу для вайбкодингаXX
• Почему «оно работает» не критерий качестваXX
• Почему баги ИИ — это твои багиXX

## Limitations that should be given to AI immediately

In order not to receive the system "for growth", it is useful to set the frame directly in the prompt:

• one file or minimum number of files
• without abstractions and layers for the future
• no new libraries, if you can manage the current ones
• happy-path, then edge-cases

Example of short wording:

Solve the problem in the least possible way.
Do not add new dependencies and architectural layers.
We need only the current scenario, without universalization for the future.

Usually, this reduces the code size by 30-60% and makes the result noticeably clearer for further edits.

## What to read next

• Как выбрать первую задачу для вайбкодингаXX
• Почему «оно работает» не критерий качестваXX
• Почему баги ИИ — это твои багиXX

## What to read next

• Как выбрать первую задачу для вайбкодингаXX
• Почему «оно работает» не критерий качестваXX
• Почему баги ИИ — это твои багиXX

## Ограничения, которые стоит давать ИИ сразу

Чтобы не получать систему «на вырост», полезно задавать рамки прямо в промпте:

• один файл или минимальное число файлов
• без абстракций и слоёв «на будущее»
• без новых библиотек, если можно обойтись текущими
• сначала рабочий happy-path, потом edge-cases

Пример короткой формулировки:

Реши задачу минимально возможным способом.
Не добавляй новые зависимости и архитектурные слои.
Нужен только текущий сценарий, без универсализации на будущее.

Обычно это снижает объём кода на 30-60% и делает итог заметно понятнее для дальнейших правок.

## Что читать дальше

• Как выбрать первую задачу для вайбкодинга
• Почему «оно работает» не критерий качества
• Почему баги ИИ — это твои баги

## Что читать дальше

• Как выбрать первую задачу для вайбкодинга
• Почему «оно работает» не критерий качества
• Почему баги ИИ — это твои баги