Daily Reading List – December 19, 2025 (#689)

This was a fun week full of announcements, team updates, and goal setting. I’m going to work next Monday, and then I’ll take the rest of the year off. I hope you have some great things (including “doing nothing”) planned!

[blog] Developer’s guide to multi-agent patterns in ADK. Eight patterns called out here, shown visually, and with code examples.

[article] Agentic design patterns: The missing link between AI demos and enterprise value. There’s “hello world” and then there’s doing something that can last. Antonio wrote a great book, and talks about some of it here.

[blog] Your job is to deliver code you have proven to work. Humans are accountable, regardless of how the code came to be!

[blog] Migrating Your App to Flutter: Step-by-Step Guide. Big post that would be great to pass into an LLM to personalize your own app migration to Flutter.

[article] Where Architects Sit in the Era of AI. I can think of few other roles in tech where a status quo approach will quickly create irrelevance.

[article] Designing the agent-ready data stack. The app and runtime stacks get the spotlight, but your success likely hinges on your data story.

[blog] Cure the curse of knowledge with AI and GKE friends. This is such a terrific post. We all need to remember what it’s like to NOT know something before we explain how to do something.

[article] TOON vs. JSON. Which data encoding format should you use to minimize input token use? TOON seems to be a good choice.

[blog] Vibe Coding a Fitness App with AI Studio & Gemini 3 Pro. Eye-popping example of how far we’ve come on text within generated images.

[blog] Do Long Technical Posts Work? For human readers, doesn’t look like it. But for LLMs that don’t get bored, it’s not a bad approach.

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