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 – March 12, 2026 (#740)Today’s links look at what AI productivity gains really look like, what you should know about the Gemini Embedding 2 model, and five design skills to sharpen in the AI era.
- Daily Reading List – March 11, 2026 (#739)Today’s links look at the 8 levels of agentic engineering, using “plan mode” in the Gemini CLI, and how to quash your fear of messing up.
- Daily Reading List – March 10, 2026 (#738)Today’s links look at Google’s first natively multimodal embedding model, how to stop destroying the context in your observability data, and how to crack the code on corporate visibility at work.
- Daily Reading List – March 9, 2026 (#737)Today’s links look at why SQL is having a comeback, why terminals are cool again, and when using AI leads to “brain fry.”
- Daily Reading List – March 6, 2026 (#736)Today’s links look at why developers should attend Google Cloud Next in person, whether AI makes us smarter or dumber, and how Google applies SRE to cybersecurity.