u/Ok_Idea5429

Five years ago, documentation was mostly for teammates and future-you. Now, a lot of people are structuring notes, codebases, and internal wikis so tools like Claude, Cursor, and ChatGPT can navigate them effectively.

I've noticed that things like folder structures, naming conventions, and documentation style suddenly matter for a completely different reason: not because humans can't find information, but because AI agents can't either.

Has AI changed the way you organize knowledge, or are you still optimizing for humans first? And if you're intentionally writing for AI, what has actually worked?

What's the biggest problem you guys have when your trying to find information - talking about anything from personal notes all the way to internal documentation for your team.

** We might be able to help you for free 😊 **

A few years ago, my workflow was pretty straightforward: bookmark interesting links, save notes, organize everything into folders, and hope future-me would actually find it again.

Now, with ChatGPT, Claude, and increasingly capable search tools, I catch myself asking: what's even the point of meticulously organizing information if I can just ask an AI later?

At the same time, AI seems to work better when it's fed good notes, documentation, and context. So I'm not sure whether AI has made knowledge management less important or more important than ever.

Have your habits changed over the last couple of years? Are you taking fewer notes, or has AI pushed you to build an even better system?