Let the AI Cook
The article discusses the challenges developers face when using AI to write code. It emphasizes that the effectiveness of AI coding relies on the developer's experience and the underlying technology stack. Many developers complicate the process with excessive constraints, which can hinder the AI's performance and lead to frustration.
- ▪AI coding is most effective when the developer trusts the output and has the right experience.
- ▪Overly complex workflows can hinder the AI's ability to produce quality code.
- ▪Developers often struggle with letting AI take control, feeling the need to maintain their sense of worth through their contributions.
Opening excerpt (first ~120 words) tap to expand
Let the AI cookAI coding works when the stack is right and the developer has the experience to trust the output. Most of the elaborate workflows being shared are people getting in their own way.I keep seeing posts where somebody walks through the elaborate workflow they figured out for getting AI to write production code, and the workflow gets way more credit than it deserves. The two things doing the work are the stack the model is writing into and whatever the developer has built up over their career: taste, pattern recognition, a feel for which way the code wants to go. Everything on top of those two is decoration. What I hear from people trying to follow those workflows usually sounds something like this: Spent an hour on this and Claude still couldn't get it right.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Ivan.
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