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 – August 20, 2026 (#850)Today’s links look at AI coding tools for enterprise users, whether your organizational culture is too nice, what to do when your buyer in an AI agent.
- Daily Reading List – August 19, 2026 (#849)Today’s links look at doc-driven development, why harnesses are basically situated agents, what’s new in Go 1.27.
- Daily Reading List – August 18, 2026 (#848)Today’s links look at data about AI usage patterns in software teams, some best practices for AI code reviews, and what to do when the hard part stops being hard.
- Daily Reading List – August 17, 2026 (#847)Today’s links look at how companies are doing agentic engineering in real life, what to do about skill sprawl, and whether you need skills at all.
- Daily Reading List – August 14, 2026 (#846)Today’s links look at how to speed up generative UI, which patterns and problems in multiagent systems to be aware of, and whether software factories actually work.