Daily Reading List – October 9, 2025 (#645)

Another day, another chance to learn something new. Today’s reading list had some useful data points, fresh ideas, and new products.

[blog] Introducing Gemini Enterprise. The AI platform era is here. It’s not just about a collection of random products. It’s about intentionally connecting people, systems, and knowledge bases so that we can get better work done. If you’re a Google shop, Microsoft shop, IBM shop or whatever, Gemini Enterprise is a major upgrade. More, from Sundar.

[blog] 4 ways Gemini Enterprise makes work easier for everyone. It’s useful to see actual examples of this platform in action.

[blog] How I Learned to Stop Worrying and Trust AI Coding Agents. Yes, we can learn some cool things from watching these agents at work.

[blog] Platform Shifts Redefine Apps. Important concepts here. What an “app” is changes with each tech platform evolution. Are you working with a modern definition?

[blog] Googler Michel Devoret awarded the Nobel Prize in Physics. It’s hard to have a big head at work when you’re surrounded by so many brilliant folks.

[guide] Choose a design pattern for your agentic AI system. This is fantastic, vendor-neutral architecture guidance for someone who wants to learn agent design patterns and when to pick each one.

[article] What the 2025 DORA Report means for your AI strategy. Extremely good takeaways in this post if you’re wondering how you’re supposed to actually land and scale AI at your company.

[blog] Predictions 2026: AI Moves From Hype To Hard Hat Work. Prediction season is upon us! See what various analysts and thought leaders are guessing.

[article] When You’re the Executive Everyone Relies On—and You’re Burning Out. Good advice here that resonates with me and how I’m feeling right now.

[blog] Give me AI slop over human sludge any day. He’s not wrong. Why are we automatically assuming AI-created stuff is worse or less useful than human created stuff?

[article] Survey: Engineers Want To Code, But Spend All Day on Tech Debt. Oof, these numbers are rough. Coding is rarely the bottleneck in your teams. It’s the 84% of the time that you’re not able to do what you love doing.

[blog] How to Build AI Security Agents with Gemini CLI. Good rationale here for when to build a tool versus when to leave the action to the agent to figure out.

[blog] LoRA Explained: Faster, More Efficient Fine-Tuning with Docker. If you kinda understood this approach to updating a model without a full training run, you’ll learn more from this post.

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