Most of my projects are born out of scribbles on paper, system diagrams with boxes and little arrows to try to describe the system I want to build or my thought process written down like in this post.

When I get it on paper and everything feels right I start creating the codebase but I have to get it down first, feels like I remember it more after I save my thoughts to external paper storage.

When I had started my PhD, I thought the writing part of a paper was just the last thing I needed to do to summarize my results, like a boring epilogue to the more exciting science. What surprised me was how much of the scientific process relied on my ability to convey my ideas to someone else. And to be able to do that you need clarity of mind, you need to have worked through multiple drafts to be able to get to your point as efficiently and clearly as possible. So many times I only discovered what I was actually researching during the writing part.

The problem with AI writing is that it makes people believe that writing is just writing and not a tool for thinking very deeply about the topic you are writing about. I am not completely opposed to AI assisted writing, but if I see AI writing, it’s telling me that the author tried to take a shortcut in their own thinking and it’s a good heuristic that the ideas will not be thought through enough to warrant my complete attention.

Writing is a good (and necessary) tool for thinking.

Not all writing needs to be published.