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 – October 8, 2026 (#884)Today’s links look at the new Gemini agent, what sets high achievers apart, and why evals should be part of your deployment gates.
- Daily Reading List – October 7, 2026 (#883)Today’s links look at the state of the (developer) tech industry in 2026, how GitHub is rebuilding for agent scale, and what we miss now that coding is dead.
- Daily Reading List – October 6, 2026 (#882)Today’s links look at a framework for measuring context quality, why there’s no such thing as an AI-ready culture, and why data is the application.
- Daily Reading List – October 5, 2026 (#881)Today’s links look at whether the future of AI is really autonomous, why agents need docs and not memory, and what mindset leaders need in the AI era.
- Daily Reading List – October 2, 2026 (#880)Today’s links look at how React Native solved a problem nobody had, whether you can SEO your way into an AI agent’s recommendation, and why redesign doesn’t happen enough.
