My AI over-engineered everything. So I gave it a ponytail.

Описание и применение

Понитейл – это рабочий процесс, который ограничивает чрезмерную абстракцию кода, генерируемого ИИ, применяя последовательный набор вопросов и оставляя заметки о возможных улучшениях.

Задача

AI coding agents tend to over-engineer solutions, adding unnecessary abstractions that increase maintenance burden.

Результат

Ponytail reduced code complexity, avoided unnecessary abstractions, and introduced clear upgrade paths, improving maintainability and deployment speed.

Рабочий процесс

• Ask AI for a feature
• Apply ponytail ladder: 1) Does it need to exist? 2) Is it already in the codebase? 3) Does the standard library cover it? 4) Does a native platform feature cover it? 5) Is an existing dependency sufficient? 6) Can it be one line? 7) If none, write minimal code
• If a shortcut is taken, add a "ponytail:" comment noting the ceiling and upgrade path
• Harvest all ponytail comments for later review

Доказательства

Ask an AI coding agent for a cache and you'll get a cache class. With a TTL. And an eviction policy. And an interface for the cache, in case you ever want a second cache. And a factory for the interface.

Источник

Ponytail is a list of questions, asked in order. The agent stops at the first rung that works: ...

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The ponytail answer was a 20-line launcher that starts the API and the worker as two processes in one container, and exits the container if either dies so the host restarts it.

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Ponytail shipped the image running TypeScript directly, with a comment naming the ceiling and the exact upgrade path.

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