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 – January 8, 2026 (#696)Today’s links looks at high-performing Java serverless apps, why AI boosts creativity for some but not all, and why MCP is becoming the universal interface for AI.
- Daily Reading List – January 7, 2026 (#695)Today’s links look at how to make agents talk to each other, what the next two years of software engineering look like, and how to fix latency issues with your agents.
- Daily Reading List – January 6, 2026 (#694)Today’s links look at why collaboration sucks, how to build internal agents, and what Gemini 3 changes about product design work.
- Daily Reading List – January 5, 2026 (#693)Today’s links look at why blogging still matters in the age of AI, how to think about your team’s context window, and a versioning strategy for your MCP servers.
- Daily Reading List – December 30, 2025 (#692)Today’s links look at context compression techniques for AI agents, why semantic versioning is bad, and 12 interesting tech predictions for 2026.
Richard Seroter's Architecture Musings 