Daily Reading List – August 29, 2024 (#387)

Big reading list today! It includes some tech dives, inspiring text-to-image AI examples, and some strong opinions about JavaScript frameworks and software estimation.

[blog] What is the Kubernetes “Claim” model? File this under “things you don’t HAVE to know, but are useful nuggets to store away.” Brian provides context into what these “requests” into Kubernetes mean.

[blog] Long context prompting tips. Small tips from Anthropic, but potentially very impactful ones.

[article] How Platform Engineering Enables the 10,000-Dev Workforce. Big post, but lots of good coverage of this topic. Why do platform engineering? How do you measure impact?

[article] Generative AI coding startup Magic lands $320M investment from Eric Schmidt, Atlassian and others. AI coding tools are so hot right now! Magic raised a ton. And announced they are training models on Google Cloud.

[blog] A Java Language Cumulative Feature Rollup. If you haven’t checked out Java since version 8, you’ll like this recap of everything important that’s happened since then.

[blog] Gemma explained: RecurrentGemma architecture. This isn’t the “standard” LLM architecture, and is worth reading about.

[blog] Building Out 🍨 Ice Cream 🍦 Product Assets at Scale with Gemini. Come up with creative product descriptions and summarize reviews with AI. Fun demo.

[article] Is Your Organizational Transformation Veering Off Course? How do you navigate those turning points to get things back on track? There’s good advice here.

[blog] Get more photorealistic with Imagen 3. I’m still wow-ed by AI-powered image generation, especially those of living creatures. This post shows some remarkable results.

[blog] A developer’s guide to getting started with Imagen 3 on Vertex AI. Here’s some useful advice on prompting text to image models like Imagen 3.

[article] Developers Rail Against JavaScript ‘Merchants of Complexity’. The use of frameworks is a topic that can spark wildly different opinions. This piece shares skepticism of the value.

[blog] Software estimates have never worked and never will. It’s always been “confident guessing”, especially for any estimate longer than 2 days. DHH says to look at “budgets” instead.

[blog] Elasticsearch is Open Source, Again. I think this is the first of the “switched our open license to closed” vendors to actually go back to something more open. Kudos!

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