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Почему баги ИИ — это твои баги: ответственность в вайбкодинге

◷ 6 min read 5/2/2026
bug responsibility vibcoding

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**AI can write code with an error, but the decision to use this code is made by a human. So the responsibility for bugs always remains with you, even if you have not written a single line.

Why does it seem that the bug is not yours

When a bug appears in code written by an AI, the first reaction is almost always the same: “This AI got it wrong.” That makes sense. You didn't write that code with your hands, you didn't pick every line, and you didn't feel the moment where an error might have occurred.

But in terms of results, it doesn’t matter who wrote the code. The program is either working correctly or not. And if it doesn’t work, the user sees the problem, not the generation process.

How the bug actually appears

Bug rarely appears "just like that." Most often, it occurs because something in the task was understated or not fully understood. The AI is doing exactly what you learned from your explanation. If the explanation was incomplete, the result would also be incomplete.

Sometimes a bug is not a bug in the code, but a mistake in expectations. The program does exactly what was described, but not what you wanted. It's not a bug for AI. It's a bug for humans.

Why AI Can't "Fix Itself"

AI doesn’t know what is right behavior unless you know it. He doesn't feel what exactly counts as a mistake in your task. He can fix a particular problem if you describe it accurately, but he can't test the whole system with a human eye.

If you just say fix the bug, the AI can change the code so that one symptom disappears, but others appear. Without understanding the cause, the bugs do not disappear.

Tip: How to distinguish an AI bug from your own

There’s a simple question to ask yourself: “Can I explain why this code should work this way?” If there is no answer, then the bug appeared before the code. He appeared in understanding the task.

The AI in this case just made the problem that was already visible.

Why it is important to understand this at the start

If you consider AI bugs to be “alien,” a dangerous habit appears. A person begins endlessly asking AI to “fix” without knowing what is wrong. The code changes, but understanding doesn't grow.

This leads to a situation where the system is becoming increasingly fragile. Each new fix breaks something else, and it becomes scary to touch something.

How to properly work with bugs in vibcoding

When a bug appears, it’s helpful to stop and ask yourself a few questions in the usual words. What did I expect to see? What really happened? At what point did the result go wrong?

Only then does it make sense to attract AI. Not with a request to fix it, but with an explanation: Here was expected one behavior, and it turned out another. Help me find the cause.”.

So AI becomes an assistant in finding a problem, not a generator of random edits.

The main thing is to remember

The bug is not an AI error. A bug is a mismatch between expectation and reality.

AI can help find and correct a mistake, but only humans can figure out what a mistake is. So AI bugs are always your bugs.

Mini-protocol of deconstructing the bug in 5 minutes

To avoid getting stuck in an endless “fix again,” use a short protocol:

  1. Record the fact: what was expected and what actually happened.
  2. Specify the boundary: in which screen / endpoint / step it manifested.
  3. Add a minimum playback scenario (3-5 actions).
  4. Ask the AI not to fix immediately, but first to name the probable causes.
  5. Only then choose one correction and check again.

That's how you move bug work from emotional to engineering. AI remains useful in this process, but ceases to be a random patch generator.

Mini-protocol of deconstructing the bug in 5 minutes

To avoid getting stuck in an endless “fix again,” use a short protocol:

  1. Record the fact: what was expected and what actually happened.
  2. Specify the boundary: in which screen / endpoint / step it manifested.
  3. Add a minimum playback scenario (3-5 actions).
  4. Ask the AI not to fix immediately, but first to name the probable causes.
  5. Only then choose one correction and check again.

That's how you move bug work from emotional to engineering. AI remains useful in this process, but ceases to be a random patch generator.

Мини-протокол разбора бага за 5 минут

Чтобы не застревать в бесконечном «почини ещё раз», используй короткий протокол:

  1. Зафиксируй факт: что ожидалось и что произошло на самом деле.
  2. Укажи границу: в каком экране/эндпоинте/шаге это проявилось.
  3. Добавь минимальный сценарий воспроизведения (3-5 действий).
  4. Попроси ИИ не чинить сразу, а сначала назвать вероятные причины.
  5. Только после этого выбирай одно исправление и проверяй повторно.

Так ты переводишь работу с багом из эмоционального режима в инженерный. ИИ в этом процессе остаётся полезным, но перестаёт быть случайным генератором патчей.

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