Half Stack Data Science

In this episode, we discuss:- Will people really just write all their own software instead of buying it?- Is the change management around GenAI projects any different from other technologies?- What is the right approach when giving people freedom to vibe code internal tools?- Is there room for a new role to emerge as a bridge between vibe coding and useful internal tools, a technical connector of AI capability and business value?Things we mention in the episode:- Matthew Yglesias's tweet about vibe coding: https://x.com/mattyglesias/status/2049105745132585161- Vicki's post on BlueSky about software libraries: https://bsky.app/profile/vickiboykis.com/post/3mkpmimhnls2q- That paper about fake GitHub stars: https://awesomeagents.ai/news/github-fake-stars-investigation/- The reverse centaur article: https://pluralistic.net/2025/12/05/pop-that-bubble/#u-washington---David’s book, The Well-Grounded Data Analyst is out! ⁠https://www.manning.com/books/the-well-grounded-data-analyst⁠If you want to find out more, we have a whole episode about it: https://halfstackdatascience.com/s3-finale-the-well-grounded-data-analyst-with-david-asboth