Daily Reading List – March 21, 2025 (#517)

Today I finished writing a couple of newsletters (three, if you count this) and mostly cleared out the inbox in between a handful of meetings. Good day that now gives me some freedom to relax this weekend. Enjoy yourselves!

[blog] Not all AI-assisted programming is vibe coding (but vibe coding rocks). Simon tells us to not fear (or shame those doing) vibe-coding, and where it helps us develop understanding and skill.

[article] Let Productivity Metrics and DevEx Drive Each Other. These are related pursuits that can be done together.

[article] Code Review: From Bottleneck to Productivity Booster. You need to do them, especially when dealing with an influx of AI-generated code, but is there a better way of doing code reviews? This article has suggestions.

[blog] Controller-Driven Infrastructure as Code. Tyler makes the case for a new approach to using Kubernetes for IaC and platform engineering, and explains their open source Koreo project.

[blog] Build Multimodal Chat Assistant with Gemini 2.0. Is building a chatbot the new “hello world” of programming? Maybe so. Follow along here to build one yourself.

[blog] IBM Mergers: Closing on HashiCorp and Intent to Acquire Datastax. What do these recent IBM acquisitions mean to you? The Redmonk crew debate.

[blog] Announcing BigQuery repositories: Git-based collaboration in BigQuery Studio. I really like that you can treat SQL queries and Python notebooks as artifacts in a git workflow.

[article] Updated Stats on Cloud Sustainability, Repatriation and Cost Optimization. Flexera ships these annual surveys that always generate some chatter. Here’s a good look at some important takeaways.

[article] Google acquisition of Wiz driven by enterprise embrace of multicloud. We’re the unusual cloud that actually makes other clouds better and safer. More here.

[article] What influences developers’ trust in adopting AI-assisted coding tools? If you can’t help devs trust these tools, they’ll become expensive shelfware.

[blog] Build richer gen AI experiences using model endpoint management. Invoke AI models anywhere from Google Cloud databases. Very cool.

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