Daily Reading List – November 3, 2025 (#657)

I’m in Sunnyvale this week for four different Google offsites. It’s a key time for ensuring momentum through 2025, and identifying our biggest (initial) priorities for 2026.

[report] State of Developer Ecosystem Report 2025. Some excellent data in this survey of 24k+ developers. What languages have momentum, where are developers using AI, and more.

[article] Google ADK: A complete toolkit for production-ready AI agents. It’s a great framework for those that want baked-in opinions when building AI agents.

[blog] How fast can an LLM go? Maybe most appealing to ML engineers, this post was still interesting to me.

[blog] The real problem with AI coding. Are we piling up “comprehension debt” into our repos as we stuff in code that wasn’t written by humans? How do you avoid it?

[blog] Beyond Request-Response: Architecting Real-time Bidirectional Streaming Multi-agent System. This post presents a sophisticated topic, but basically, it explains why the old “take-turns” method for AI agents is too slow. It describes a new, faster way that allows agents to process data in real-time, much like a continuous, natural conversation.

[article] Stop Writing Code, Start Writing Docs. My boss Keith has a long history with dev tools, and continues to use them on a daily basis. Here’s some perspective worth listening to (or reading).

[blog] Evolving Ray and Kubernetes together for the future of distributed AI and ML. These projects are working better together, which is good news for AI/ML folks who depend on Kubernetes. Also, great new TPU support.

[blog] The Green Tea Garbage Collector. Do you geek out over low level functions like garbage collection? If so, you sound interesting. Let’s be friends.

[blog] The New Calculus of AI-based Coding. Good thoughts here about a productive approach to AI coding, but with cautions about what breaks at this new velocity.

[blog] New tools in Google AI Studio to explore, debug and share logs. Better insights and tracking capabilities are baked into this must-have Ai tool.

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