Daily Reading List – November 13, 2023 (#203)

What a weekend. Got to cheer on my daughter as she courageously performed in a school musical, saw a bunch of family and friends in the process, and caught up on work things while everyone was sleeping. And now I’m in Sunnyvale this week to cause trouble.

[blog] The Human Side of Software Engineering Teams. Very good look at the human challenges in software engineering. Hint, AI doesn’t solve most of these. Culture matters.

[blog] How Use Cases Elevate Your Technical Content. This applies to external facing docs or internal ones. Are you inspiring and explaining well? Adam says database companies are lacking here.

[blog] 3 new ways Duet AI can help you get things done fast in the Google Cloud console. I don’t see how every other cloud provider doesn’t try to copy this. It’s so useful!

[article] Public Kubernetes API server numbers pass one million, as attackers start to consider K8s a “central target”. Scary stuff, but mostly preventable if you use a provider that gives you hardened clusters, and apply good security policies to the environment.

[article] Report: Enterprise investment in generative AI shockingly low, while traditional AI is thriving. Give it time. Plus, these survey are outdated after about 48 hours given how fast things keep changing!

[blog] Moving beyond the CVE: Using Sigstore and activity metrics to assess dependency risk. The application and infrastructure security space is so dynamic right now. Lots of fresh thinking, like this from Craig McLuckie.

[blog] Build a Java Spring Boot app in IntelliJ with Duet AI assistance. Meet the customer where they are, and for Java devs, that’s in IntelliJ.

[blog] OpenCloud 2023: Software’s AI-Driven Watershed Moment. Good (free) read from the Battery Ventures team that looks at some industry trends, as well as what a healthy software company should look like.

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