Does anyone have great tips in using AI to help you craft prompts for claude-4 / cursor. 

I spend a lot of my time on the prompt and have had a hard time using AI to help refine them and improve. They tend to add scope and/or introduce confusion.

ive found with claude code I dont feel a need to be as formulaic with my prompting, just sharing as much context and being as clear about the goal as I can like I would with a person. adding claude.md files so you don't have to repeat context and having the agent share its execution plan + checklist + understanding of the tasks upfront has helped reduced the burden of making the initial prompt perfect

I know its not exactly what you asked for but as someone used to structuring my prompts strategically it's interesting to see how I'm using these tools change quickly

we just started using them so I'm still figuring out what's actually helpful but so far I've been using it dump documentation about specific parts of the code that I would otherwise need to repeatedly paste into the prompt.

for example on moshicam we have a photo editor with some complex gesture handling so I've documented all the available gestures, intended functionality and some edge cases the existing code is intended to handle. since you can put claude.md files in any directory, I feel like you can go pretty deep without overwhelming the context for unrelated tasks.

another example is with repetitive tasks like adding new notification types, there's boilerplate code that we need to add in several locations every time so having the steps outlined with examples helps it do it correctly without needing to explain it again. 

best part is that it can write the claude.md file for you so at the end of a task I'll ask it to document useful information and add any edge cases we encountered for future reference.

What do you usually put in the Claude.md file?