我如何思考利用AI快速編寫高品質程式碼

How I think about writing quality code fast with AI

Essay - Published: 2026.01.23 | 1 min read (491 words)ai | software-engineering | tech

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I recently did a small tech talk at Recurse Center's weekly presentation day on software engineering with AI so thought I'd share the key ideas here.

I've also recorded the presentation slides with a lot more detail (RC presentations are only 5 mins!).

Mental Models AI

I think of AI as an eager, book-smart junior engineer that doesn't eat, sleep, or get bored. It's a super fast reader, typer, and researcher. It's a decent coder in most mainstream languages and has read tons of books and articles. But it has little hands-on experience, low taste and judgment for choosing what to apply when, and low discipline for sticking to rules.

What AI means for the industry

There are three approaches to building with AI:

I think the future is vibe engineering - take the principles of traditional engineering and leverage the super fast speed of AI LLMs.

Different work calls for different approaches.

Vibe Engineering Workflow

The standard agentic AI loop is: Plan -> Build -> Review.

This is very similar to a normal software engineering cycle. The difference is that you now play the role of the Tech Lead / Manager and AI is the implementer.

Going Further

You can enhance each phase:

Better Planning:

Better Building:

Better Reviews:

And once you've gotten those loops nice and reliable, you can move onto chains where AI auto passes from one loop to the next.

Further Reading

From the Pragmatic Engineer:

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