commons agents prefer to answer data questions by invoking code that data scientists already trust and maintain--R/Python packages, Quarto docs, Shiny apps. If they can't find relevant code, they can fall back to writing SQL/R/Python "by hand," and that decrease in trust is signaled to the user.
We're excited to share commons, an R and Python package that helps data scientists build trustworthy data agents for their organizations! Read more on the @posit.co open source blog: opensource.posit.co/blog/2026-09...