Welcome to my latest list of AI-related links, similar to my Q1 list and other ones. This is the first edition in which I’m including videos and discussions that I found interesting as well.

Disclaimer: Each link simply represents information that I felt was interesting or helpful at the time that I noted it. A link’s inclusion does not necessarily indicate agreement with its contents.

Articles

  1. Ethan Mollick: A Guide to Which AI to Use in the Agentic Era
  2. Mark Seemann: Programming languages for AI
  3. Shawn Wildermuth: How Intelligent is AI?
  4. Nick Chapsas: This is Why AI Could Replace Programmers (10m video)
  5. Maggie Appleton: One Developer, Two Dozen Agents, Zero Alignment: Why we need collaborative AI engineering
  6. Tane Piper: The Man With No Brains
  7. Koshy John: A.I. Should Elevate Your Thinking, Not Replace It
  8. Maximilian Walterskirchen: Piloting Agentic Engineering—What Software Engineers Can Learn From The Aviation Industry + HN + Reddit
  9. Nilay Patel (The Verge): The People Do Not Yearn For Automation: Software brain is changing the world, but most people still aren’t buying
  10. Margaret-Anne Storey: What I’m Hearing About Cognitive Debt (So Far)
  11. Steven Langbroek: Programming Still Sucks.
  12. Zoran on C#: Claude Code Is Resurrecting Our Worst Nightmares (13m video)
  13. Nolan Lawson: Using AI to write better code more slowly
  14. MindStudio Team: Agent Harness Engineering: Why Your Wrapper Matters More Than the Model
  15. Wall Street Journal: Corporate America Is Starting to Ration AI as Cost Skyrockets (Archive) (Found via a LinkedIn post)
  16. Ronan Berder: AI-Augmented Software Development Manifesto
  17. Owen McGrann: The Dead Economy Theory + HN
  18. Dr. Randal S. Olson: The “Are You Sure?” Problem: Why Your AI Keeps Changing Its Mind
  19. WSJ (Katherine Bindley): See How AI Giants Are Using AI in Their Own Offices

Videos

  1. NDC Conference Keynote: Richard Campbell: After the AI Hype – What’s Real, and What’s Next (50m; 2026)
  2. Zoran Horvat: AI Software Development Is Near-Impossible (13m; 2026) — includes summary of how LLMs work

Discussions

  1. Clients sending me AI snippets
  2. Things I used to be proud of doing well - Modern AI just does better
  3. How to manage the tradeoff between mental model and speed when building with AI?
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