Writing Production-Quality Code with AI

Описание и применение

Разработчики сталкиваются с проблемой создания поддерживаемого кода при использовании ИИ. Автор создал процесс PAAD, который обеспечивает инженерный контроль и приводит к коду, пригодному для производства.

Задача

Developers struggle to produce maintainable, production‑ready code when relying solely on AI, leading to technical debt, security gaps, and poor code quality.

Результат

By following an engineering‑led process and using PAAD, the author successfully ported Sqitch from Perl to Python and achieved production‑ready code without extensive manual review, demonstrating that AI can be harnessed responsibly.

Рабочий процесс

• Write detailed spec and prompts
• Create plan (tickets) aligned with spec
• Implement code via AI
• Run tests and CI
• Conduct code review
• Make human decision to merge or iterate

Доказательства

I didn’t fail. Yes, I failed a lot at the beginning, but I kept learning. And in the end, I succeeded.

Источник

I need to understand a language’s “best practices” and explicitly incorporate them

Источник