Daily Reading List – March 27, 2025 (#521)

Great day. Learned a few things, had some productive team meetings, and caught up after a half-week of traveling. Good items below!

[docs] Function Calling with the Gemini API. Great new documentation for a very important feature if you care about building AI agents, real-time AI systems, or action-driven AI apps.

[article] What’s keeping technology leaders up at night? This looks like an accurate list of things that tech leaders should be thinking about.

[article] Product, Design and AI. What’s the mix of skills you need on an empowered product team? This is a great list of skills to develop, acquire, and value.

[blog] Introducing the new Vertex AI Model Garden CLI and SDK. This is low-key awesome. Three lines of code, or a single CLI call to deploy virtually any open LLM.

[article] Escaping POC Purgatory: Evaluation-Driven Development for AI Systems. Stuck with cool prototypes with no path to making them “real”? This post lays out “evaluation driven development” where you test and assess your AI app at each stage.

[blog] 7 tips for effective system prompting: A developer’s guide to building better AI applications. Good, simple tips for getting more out of your prompts. I need to apply a few of these lessons.

[blog] Colossus under the hood: How we deliver SSD performance at HDD prices. Some of the most critical and well-engineered systems in the world are at Google. Here’s a look at how we’ve built parts of our storage subsystem.

[blog] Getting started with Rust on Google Cloud. We like Rust within Google, and Karl has a great post that shows you how to get an app built with Rust up and running in the cloud.

[article] Top 11 technical writing skills for product marketers. I’m fortunate to watch technical writers in action, and it’s a developed skill. This is great for anyone writing to technical audiences.

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