Daily Reading List

I read a lot. Too much, but what can you do? At the end of each workday, I publish a list of every tech-related article or blog I read that day. And I’ll sometimes mix in a YouTube video or code repo for fun.

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Here are the last few editions:

• Daily Reading List – January 30, 2026 (#711)
  Today’s links look at performance engineering using AI dev tools, how to build A2A solutions with Spring Boot, and what platform engineers should know about zero-trust architectures.
• Daily Reading List – January 29, 2026 (#710)
  Today’s links look at why vibe coding needs “git blame”, how to use conversational analytics in BigQuery, and why you need more than evals.
• Daily Reading List – January 28, 2026 (#709)
  Today’s links look at how Netflix does graph search in their platform, what Gemini CLI hooks offer you, and whether agentic AI is killing continuous integration.
• Daily Reading List – January 27, 2026 (#708)
  Today’s links look at new dev tools baked into the Google AI subscriptions, why AI is making databases matter again, and how to run executable Markdown files with Gemini.
• Daily Reading List – January 26, 2026 (#707)
  Today’s links look at migrating a legacy Spring Boot app using the Gemini CLI, which open source projects are transforming AI, and why you should call it “supervised generation” instead of vibe coding.