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.
If you’d like a shortcut to keep up with what’s happening in our industry, consider subscribing via RSS, browser bookmark, or via email:
Here are the last few editions:
- Daily Reading List – July 10, 2026 (#822)Today’s links look at why you need to own the outer loop, why AI coding agents still need clear specs, and why multi-tenancy isn’t all about databases.
- Daily Reading List – July 9, 2026 (#821)Today’s links look at how AI is changing what employers want from new hires, which new models are getting attention, and why you should do hard (meaningful) things.
- Daily Reading List – July 8, 2026 (#820)Today’s links look at why AI mandates can be good, why your configuration-as-code approach is a liability, and how AI can fix traffic congestion.
- Daily Reading List – July 7, 2026 (#819)Today’s links look at how to help workers reskill, why you should write code instead of specs, and whether the PRD is dead.
- Daily Reading List – July 6, 2026 (#818)Today’s links look at traits that set the best leaders apart, ten moments that defined AI’s first half, and why we’re seeing the twilight of the chatbot.