Reading the docs isn't enough. The most valuable developer feedback lives inside GitHub issues, bug reports, and feature discussions. In this article, I share the checklist I use to mine repositories and coding frame work for the issue, uncover real developer pain points, and turn engineering conversations into meaningful UX research findings.
Why Coding Is the Difference Between Reading and Researching
Reading GitHub issues without a coding framework produces impressions. Coding them produces findings.
When you code an issue, you are making an explicit analytical decision about what type of signal it contains. You are saying: "This issue is evidence of a feedback gap at Stage 4 (model loading), filed by an ML engineer with a new user experience level, in KServe v0.11, and it directly answers my research question about what information engineers need during model loading that the product currently does not provide."
That sentence assembled from your coding decisions is a finding. Multiply it across 100 issues and you have a research study.
