Daily Reading List – October 18, 2024 (#422)

I’ve got a few AI items in the list today. Shocking, I know. But maybe this is the weekend you take a new tool for a spin?

[blog] Using the Kubernetes Resource Model for Declarative Configuration Q&A. Brian answers all the questions you could think of regarding the Kubernetes Resource Model and declarative configs.

[article] Citi reaps rewards from modernization investments. They’re seeing expenses go down and this transformation effort was triggered by compliance lapses. Whatever gets it going!

[blog] Compare Mode in Google AI Studio: Your Companion for Choosing the Right Gemini Model. This is such a useful way to compare the quality, latency, and overall results from different models or instructions.

[blog] What is Agentic AI? Agents are everywhere, and this post points out that agents are about decisions taken towards a goal.

[article] How To Build an AI Agent To Control Household Devices. Jani has a creative post that explains how he created an agent that controlled physical objects in his house.

[article] Container Security, with Michele Chubrika. Listen to this podcast episode or read the transcript to get smart insights into modern security with Kubernetes and containers.

[article] Did Automattic commit open source theft? Gergely provides a complete summary of this latest gaffe by the Automattic folks.

[blog] BigQuery Change Data Capture (CDC) using Pub/Sub. if your system can’t “speak” the language of the downstream system, sometimes you throw a proxy in between. This post shows how to use the gRPC API by sending data through Pub/Sub.

[article] 6 Essential Leadership Skills — and How to Develop Them. Good list, and all things that we can work on to lead better.

[blog] Revolutionizing SQL with pipe syntax, now available in BigQuery and Cloud Logging. This still feels weird to me, but at least I’m now trying pipe syntax.

[article] Why developers lose trust in AI tools. This reviews a paper of ours and identifies what causes distrust in AI tools, and recommendations for growing user trust.

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