Daily Reading List – October 2, 2025 (#640)

I’m grateful that the most persistent stress in my life comes from following my favorite sports team. There are worse things in life. But one of these years, I really would like my hometown team to, just one time, raise the trophy.

[blog] Gemini 2.5 Flash Image now ready for production with new aspect ratios. The best image model in the world is now GA. These new aspect ratios are terrific.

[blog] Building on the bananas momentum of generative media models on Google Cloud. What stood out to me here was a bulleted list at the bottom that clearly explained when to use which model. We’re getting better at doing that.

[blog] Inside Husky’s query engine: Real-time access to 100 trillion events. That’s a lot of events. The Datadog team explains their event store and how its query engine works.

[blog] Gemini CLI: Discover, configure, debug, and document a Google Cloud feature (Part 2). These AI tools can help everyone learn new things. One of our technical writers, Moi, explains how she used the Gemini CLI to go deeper on a product area she’s writing about.

[blog] Two strategies to succeed when AI seems to be eroding jobs around you. This is relevant to the above post. Tom’s a tech writer here at Google, and has great perspective on what skills need further investment.

[blog] Real AI Agents and Real Work. We’re learning more about human-agent interactions. Agents are capable, and still require our judgement to decide what’s worth doing with them.

[blog] Examples are the best documentation. Great post. People who deliver projects and products need to consider all the examples the user needs access to.

[article] OutSystems Launches a Low-Code Workbench for Building Enterprise AI Agents. Of course low-code vendors will get into the vibe and agent game. They’re irrelevant if they don’t!

[article] Salesforce launches enterprise vibe coding product, Agentforce Vibes. See previous point. This seems natural for Salesforce, as they’ve got piles of data for you to ground on.

[blog] Introducing Microsoft Agent Framework: The Open-Source Engine for Agentic AI Apps. Do we need more agent frameworks? Sure, why not. This one targets .NET devs.

[blog] Designing agentic loops. What does a responsible YOLO mode look like when using your coding agent of choice? Simon’s got a helpful post on designing good agentic loops.

[blog] Meet Jules Tools: A Command Line Companion for Google’s Async Coding Agent. This is cool. Control and interact with this remote agent via the CLI.

[blog] Angular support for generating apps in Google AI Studio is now available. Excellent! It’s now simple to vibe code web apps that use Angular and then deploy them.

[blog] Build Your Foundation First: The Hard Truth About Successful AI Deployments. No skipping ahead. There are prerequisites required to get good AI results.

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