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 28, 2026 (#898)Today’s links look at Gemini 4 Carbon, the state of context engineering, and whether AI agents shape experts’ judgement calls.
- Daily Reading List – October 27, 2026 (#897)Today’s links look at how to measure AI productivity, whether 100% of your devs are improving their workflow, and how to make doc pages agent friendly.
- Daily Reading List – October 26, 2026 (#896)Today’s links look at modern AI coding workflows, when to stop using subagents, and why you shouldn’t ask AI to write your user stories.
- Daily Reading List – October 23, 2026 (#895)Today’s links look at why CLIs are great if you want to minimize token use, why your software is slow (hint: not your programming language), and when to use diffusion LLMs.
- Daily Reading List – October 22, 2026 (#894)Today’s links look at how to use AI to become a more effective engineering leader, what the new Gemini API CLI can do, and a new micro-VM option in Google Cloud.
