alt Hacker NewsYes, the third camp and probably the most effective is to do a decent amount of writing yourself and use the LLMs as codegen machines, but where the DSL is natural language. Deepseek v4 flash is an incredible model for this, you can actually get into flow state as you write code and then delegate boring code to the magic autocompletion machine to autocomplete.
The better workflow, and I think the one adopted by people in the second group, is to take a step back from coding, do a bit of thinking about the domain, design a better abstraction for the problem (architecture, data structure, algorithms), and then write the small amount of code you probably need.
Code should grow according to need, not for its own sake. Start small, use it in the real world, and then improve it.