At least some of them had an "ai generated" tag.

And once you notice the bait (via telltale signs) you feel betrayed. Betrayed for your attention, thoughts and time.

Like how do you come up with a cohesive looking set of components for example? I use design tokens but they are not enough to get to a coherent design where components look like they belong together and kind of stand out from other designs.

But I do care about not having to read the word „genuinely“ a hundred times just because Claude likes it so much.

The data structure is a recursive list of simple objects that form a table of content.

DSL uses Python syntax though. For example:

swap_section(a, b) create_section(after=2) delete_section(2)

This proved to safe a ton of explanatory prompts that would be needed if every command was a tool instead. And it’s faster and more reliable.

Am I the only one who feels a bit betrayed after reading LLM text? I am not even willing to try out the app after I notice… which is a shame.

At least polishing the obvious parts would help a lot and is not that much work.

You will have to put a lot of effort and attention to detail to make a one-line prompt more worth than it is on its own.

Not sure whether that happened here though.

Did you notice a significant decrease in delivery speed (including debugging, fixing stuff in AI contributions)?

I wonder whether reducing AI usage might even help with cognitive load. The last few months I felt increasingly exhausted after pushing through PR after PR (although it is quite fun to do this on personal projects).

Comments URL: https://news.ycombinator.com/item?id=47780672

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Do you think it is important to have a public facing profile of yourself and your work history for attracting new clients or is a broad in person network more relevant?