Daily Reading List – February 7, 2025 (#489)

I’m writing this from the final segment of my 20+ hour flight to India. That first 15+ hour leg was no joke! I’m excited for the week ahead. I have quasi-working wifi on this flight, so you get a reading list 🙂

[podcast] 10x People, AI Trends, and Career Management, with Richard Seroter. Coté and I recorded dozens of podcast episodes together while at Pivotal. Now, we’re together again talking about all sorts of things. I bet you’ll enjoy it!

[blog] Understanding Reasoning LLMs. Here’s some excellent content for those interested in how these “thinking” models work, when to use them, and how to make one.

[blog] Here’s how developers have been using Gemini 2.0. Here are a handful of code repos and videos that you can learn from.

[blog] Ollama commands: How to use Ollama in the command line [Part 2]. You’ll be a pro with using Ollama for local testing of open LLMs after reading this.

[blog] Kubernetes vs. Serverless: When to Choose Which? It’s a good writeup, but it’s not really accurate in 2025. “Serverless” like Google Cloud Run solves for cold starts, has strong stateful options, and is viable for steady state workloads.

[blog] The hard truth about using AI in coding. Another good writeup, and this one MIGHT not be accurate in 2026. Yes, you want depth in the domain (e.g. coding languages) before trusting that AI-generated code is efficient and accurate. But that’s also improving VERY quickly

[article] After 30 years of code, Java remains an enterprise cornerstone. Java’s not going anywhere. There’s still too much old Java laying around though.

[blog] Grounding Results with Google Search, Gemini, and LangChainJS. Here’s a detailed example of how to get verified, trusted results from your LLM.

[article] IT leaders turn to upskilling to close looming skills gap. Smart move. Hire some fresh talent, but invest in the folks you have. We’ve been doing it this way at Google.

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