Daily Reading List – May 8, 2025 (#548)
Today’s list is full of advice. I came across many pieces that can help you make better decisions with your tech strategy. Enjoy!
[blog] Gemini 2.5 Models now support implicit caching. Excellent feature that doesn’t require you to do anything to use it! We’ll cache for you.
[article] Function calling using LLMs. Good piece that goes deep into this important topic. How do LLM apps interact with external tools? You’ll want to get familiar with this pattern.
[article] How To Build a Kubernetes Operator From Scratch. You’re probably not doing this often, or for fun, but it’s useful to know what it entails.
[blog] Announcing Gemini 2.5 in Firebase Studio. This all-in-one dev experience now has the world’s best coding model baked in. Give it a whirl.
[article] Uber’s Journey to Ray on Kubernetes. This InfoQ article looks at why Uber changed their machine learning workflow, and how they use Ray. Source material here.
[blog] Transforming Data Analytics at Flipkart: Self Serve Insights on Petabytes scale data. How do companies do things? I always like posts such as this one that lay out a problem, and explain a thought process.
[article] The “Ready, First” Pattern. Brian talks about how with mobile, cloud, and now AI, you need to prepare (“get ready”) before going all in.
[blog] Config 2025: Pushing design further. Figma isn’t messing around and revealed many interesting design-oriented updates this week.
[blog] The State of Coding the Future with Java and AI – May 2025. AI isn’t just for Python folks! Microsoft ran a study recently looking at the intersection of Java and AI.
[article] Generative AI tops cybersecurity in 2025 tech budget priorities, new AWS study finds. Budgeting can be a zero-sum game, so if spend on AI is going up, the money’s coming from somewhere else.
[blog] Python Packaging in 2025: Introducing uv, A Speedy New Contender. My colleague Fran looks at a fast tool that seems to reduce the number of other Python tools you need to use.
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