Daily Reading List – August 11, 2026 (#843)

I spent time with a great company who is trying to bring AI into more of their product management function. Not easy, but high impact if you get it right.

[article] Can Agents Use a Computer Yet? We’ve Got the Data. You won’t find clean APIs for every system. Sometimes you need the AI to act like a user to “see” what’s going on in the software. That capability keeps getting better.

[blog] A Fresh Definition of The Product Role. Just because everyone can build, doesn’t mean everyone can build the right thing. Product thinking is a real thing that people work to develop over time.

[blog] Why Go is an Ideal Language for AI-Assisted Software Engineering. Cameron and I make the case. And it’s a heckuva strong case.

[blog] Expanding connectivity in the Americas: Introducing Alisios, Canoa, and OlaLuz subsea cables. More connectivity means better opportunities for more people.

[blog] Reflections on Ai4 conference – some absences from a tech writer’s POV. Good insights from Tom. The “missing” topics at this event are surprising.

[article] Agentic Code Quality. This piece from Addy challenged me. His argument is strong. I think I struggled with the idea that quality could be completely codified into agent constraints. I guess there’s no reason that’s not possible.

[blog] Gemini for Go Developers – Part 1: The Gemini Model Family. Great introduction for people who are starting to figure out how to bring AI into their apps.

[blog] How I use LLMs to learn complex topics. Great little example. Learn by asking models to build out some foundational knowledge on a topic, ask it to review for accuracy, and then build a simulation of that topic.

[blog] Expanding the Google AI Professional Certificate with vibe coding. This wildly popular cert has fresh curriculum for builders. Give it a try.

[article] Are agents really killing UI? It’s all headless APIs now? Nope. We’ll have UIs around for a long time, with generative UIs and personal software on the upswing. But, anything your human users can do, an agent should be able to do too.

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