Writing Production-Quality Code with AI
说明与用途
开发者在使用 AI 时难以生成可维护的代码。作者创建了 PAAD 过程,确保产出可投入生产的代码。
问题
Developers struggle to produce maintainable, production‑ready code when relying solely on AI, leading to technical debt, security gaps, and poor code quality.
结果
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.
工作流
- 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
证据
I didn’t fail. Yes, I failed a lot at the beginning, but I kept learning. And in the end, I succeeded.
I need to understand a language’s “best practices” and explicitly incorporate them
- 记录日期: 2026-09-14T05:01:14.466Z