Happy to finally announce the CRAN release of {debrief}, a new package to let AI agents better interface with the output of the {profvis} package Making it so you can work with you AI agent more efficiently to profile and write faster R code! opensource.posit.co/blog/2026-06..…
Who's Who of AI
emilhvitfeldt.bsky.social
https://emilhvitfeldt.com/
making modeling easier in #rstats with tidymodels at @posit.co
writing about feature engineering (https://feaz-book.com/) and Slidecrafting. He/Him
What they're sharing
Introducing debrief: profiling summaries for AI agents opensource.posit.co
Articles & links
emilhvitfeldt.bsky.social reposted
Their own posts
Recent commentary
LLM driven blog post procedure. have the LLM draft your post, then rewrite it completely because you don't like the way it does it
Their network
In emilhvitfeldt.bsky.social's orbit
Center = emilhvitfeldt.bsky.social. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.