Daily Reading List – June 14, 2024 (#340)

I’m mentally spent after a busy week and long day. But it’s good to end the work week with a few wins. I hope you did too!

[blog] Survey Says: AI and Data Buoy Technology Spend Planning. This enterprise CIO survey had some very interesting insights. Of course AI is a big investment. But it’s also interesting that “dev tools” investment is expected to decrease in the years ahead, while “consolidation” is the number one tool for cost cutting.

[podcast] A Bootiful Podcast: Abdel Sghiouar, Cloud Native Developer Advocate at Google. My past and current colleagues talk about Java, Kubernetes, and Cloud.

[blog] Where More Effective Product Teams Spend More (and Less) Time. I feel this one. John looks at areas you should spend the most time, and as least time as possible.

[article] Favorite AI Tools of Developers and Tips For Using Them. I didn’t notice any new ideas here, but still a useful roundup of areas where AI is helping developers today.

[article] How to enable your software delivery teams to innovate with generative AI. Somewhat relatedly, this one comes from the DORA team and takes a vendor-agnostic approach to explaining the ways teams can use AI to do better work.

[article] 3 Ways to Compassionately Hold Your Team Accountable. Most folks I know want maximum empowerment and autonomy. That’s cool; it also comes with increased accountability. This was a good article on how managers should approach that.

[blog] Build your own generative AI chatbot directly from BigQuery. We can learn a lot by studying this use case. It touches a lot of components and implements a few different useful patterns.

[blog] Goodbye, long procedural code! Fix it with workflows. It might start simple, but as you build out the necessary error handling and state management for a business process or long-running activity, your code gets gnarly quickly. Derek promotes the idea of a workflow library or framework instead.

[blog] Build maps in the cloud with BigQuery DataFrames, Gemini, and CARTO. I really like “notebooks” as an artifact. They’re such a useful tool for following along with technical demos like this one. Another post on DataFrames, if you’re curious.

[blog] PlatformCon 2024 Recap: Watch the Syntassians Speak! Here’s a handful of 15-minute talks about platform engineering that you might enjoy.

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