Daily Reading List – June 25, 2024 (#346)

Long day in New York today, but a great chance to chat with customers and new friends. The challenge is real with implementing AI, but wise leaders see the potential!

[blog] What Is ChatGPT Doing … and Why Does It Work? I probably shared this last year when it came out, but I came across this post again and found it useful.

[blog] Leveling up FinOps: 5 cost management innovations from FinOps X 2024. I was inexplicably staying at the hotel where this event was going on last week. I like the new scenario modeling tool.

[article] 4 keys to writing modern Python. Lots of folks are using Python nowadays, and this article highlights some new language features.

[blog] Is your AI workload secure? Sita offers up a good perspective about AI security frameworks and why they matter.

[article] This Is How To Have A Long Awesome Life: 4 Secrets From Research. None of these are shocking, nor do they require a weird pod to sleep in. Just make good choices.

[blog] Build Rag With Llamaindex To Make LLM Answer About Yourself, Like in an Interview or About General Information. LangChain has a lot of attention, but there are a handful of viable orchestration frameworks out there. Check out LlamaIndex.

[blog] why we no longer use LangChain for building our AI agents. Or maybe don’t use an LLM orchestration framework at all? This post says these frameworks can add unnecessary overhead.

[blog] GKE under the hood: What’s new with Cluster Autoscaler. With benchmarks! These Kubernetes autoscaling improvements are baked into GKE, and we’re seeing some fairly significant results.

[article] Measuring Developer Experience at Google. This piece looks at how we measure, not what. Abi digs into a recent research paper that explains our Engineering Satisfaction survey.

[article] Platform Engineering: Lessons, queries from the First Hype Cycle. Check out this take on a recent Gartner assessment of the platform engineering space.

[article] JetBrains AI Assistant to integrate Google Gemini AI models. The IDE maker is mixing and matching models for developers who want AI assistance. Maybe a trend?

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Author: Richard Seroter

Richard Seroter is currently the Chief Evangelist at Google Cloud and leads the Developer Relations program. He’s also an instructor at Pluralsight, a frequent public speaker, the author of multiple books on software design and development, and a former InfoQ.com editor plus former 12-time Microsoft MVP for cloud. As Chief Evangelist at Google Cloud, Richard leads the team of developer advocates, developer engineers, outbound product managers, and technical writers who ensure that people find, use, and enjoy Google Cloud. Richard maintains a regularly updated blog on topics of architecture and solution design and can be found on Twitter as @rseroter.

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