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

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David’s book, The Well-Grounded Data Analyst is out! ⁠https://www.manning.com/books/the-well-grounded-data-analyst⁠

If 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

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