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 – June 2, 2026 (#796)Today’s links look at the state of SDLC security, why test-driven development with agents is good for security, and how to get a good return on AI investments.
- Daily Reading List – June 1, 2026 (#795)Today’s links look at how to handle conflict, a list of ways to be wrong about AI-assisted coding metrics, and the keys to succeeding under a new manager.
- Daily Reading List – May 29, 2026 (#794)Today’s links look at how to use AI agents without stopping your own growth, how to keep AI-assisted engineers from burning out, and inside Bloomberg’s flat eng culture.
- Daily Reading List – May 28, 2026 (#793)Today’s links look at why AI won’t fix your broken delivery pipeline, why you should stop interviewing engineers like it’s 2022, and how Google SREs are using agentic AI.
- Daily Reading List – May 27, 2026 (#792)Today’s links look at the role of MCP in context engineering, how you can choose to stay human in an AI world, and how managers are struggling to keep up with the AI productivity boom.