Posit PBC
The open-source data science company for the individual, team and enterprise.
"I feel like working with agents is a lot more productive, but a lot less fun." Charlie Marsh tweeted this and people won't stop quoting it back at him. On The Test Set, he gets into why — and it's not really about fun. It's about the vibe being off. We're in this weird in-between where engineers are stitching together agent outputs, copy-pasting PR comments into Claude Code, and reviewing code they didn't write but are somehow responsible for. It's giving duct tape. Charlie says he's hopeful we'll figure out what building software actually looks like in this new era — but right now? We're not there. He also drops that his opinions on literally all of this are radically different from four months ago, which honestly says everything about how fast this is moving. Full conversation now live.
01/15/2026
The call for talks for posit::conf(2026) is officially open! This September, we’re bringing the data science community together in Texas to showcase the best in R, Python, and open-source innovation.
Do you have a workflow that saved the day? A new package the world needs to see? Or a perspective on data science that needs to be shared? We want to hear from you.
Why speak at posit::conf?
We believe in supporting our speakers every step of the way. If your talk is accepted, you’ll receive:
• Travel assistance & lodging to get you to Houston.
• A free conference pass to enjoy the full event.
• Professional speaker coaching to help you nail your delivery.
Whether you're a seasoned pro or a first-time speaker, this is your chance to contribute to the global data science conversation.
📅 When: September 14–16, 2026
📍 Where: Houston, TX
⏰ Deadline: February 6, 2026
Submit your talk here: posit.co/blog/posit-conf-2026-call-for-talks
How does a career in actuarial science lead to becoming a professor and developer educator? Find out in the latest episode of The Test Set!
We're thrilled to welcome Mine Çetinkaya-Rundel, Professor of the Practice of Statistical Science at Duke University and Professional Educator at Posit. She shares her journey from getting a business degree to realizing her enjoyment of working with data as an actuary. Hear how her passion for teaching, an undergraduate tutoring side gig, and a dislike for manual data entry and report generation led her to a fulfilling career in data science education. The episode offers a unique perspective on the motivations and "aha" moments that can shape a career path.
Listen to "Teaching in the AI era — and keeping students engaged" now at thetestset.co, on Spotify, or Apple Podcasts.
Click here to claim your Sponsored Listing.
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