Audit - AI-Assisted Classification
In which we have an LLM help us assign categories to code examples.
In which we have an LLM help us assign categories to code examples.
In which we explore the best way to get content and work with audit data.
In which we dive deeper into what we actually want to know.
In which we decide what to count, and how.
In which I write a macOS app to track important pull requests.
In which I explore WHAT to test in docs code examples.
In which I explore HOW to test docs code examples.
In which I make a whole lotta Charts.
In which I decide how I want to structure my documentation metadata.
In which I free my data from Google Sheets.
In which I discuss the benefits of having a documentation team writing the code examples.
In which I discuss the strategies for knowing when docs need updates.
In which I explore why you really need to test docs code examples.
In which I automate readability scoring for documentation.
I which I am amazed to wake up and see my app leading sales in its category.
In which I write an iOS app to track RPG playthrough details.
In which I attempt to debug a CLI thing and find out I made an assumption.
In which I complete a beginner programming class - in Python!
In which I recognize how important it is to have good equipment, and do something about it.
In which I finally decide to start my coding journey.